diff --git a/docs/debug_notebooks/Comparing methylprep, sesame, minfi v1.5.2.ipynb b/docs/debug_notebooks/Comparing methylprep, sesame, minfi v1.5.2.ipynb
new file mode 100644
index 0000000..8aaafbd
--- /dev/null
+++ b/docs/debug_notebooks/Comparing methylprep, sesame, minfi v1.5.2.ipynb	
@@ -0,0 +1,832 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d9783444",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import methylprep\n",
+    "import methylcheck\n",
+    "from pprint import pprint as pp\n",
+    "mpath = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_test') # methylprep --all sesame v1.5.1\n",
+    "m_minfi_path = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_param_minfi') # methylprep --minfi (but no --all)\n",
+    "m_v111 = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_v111') # methylprep --betas v1.1.1 2019 version\n",
+    "m_v146 = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_v146') # methylprep --betas v1.4.6 March-2021 version --minfi\n",
+    "minpath = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_minfi')\n",
+    "sespath = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_sesame')\n",
+    "t1_path = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_test_steps') # df = m.make_pipeline('.', steps=['noob'], sesame=False, debug=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2c0c068",
+   "metadata": {},
+   "source": [
+    "# ref on how minfi noob values were calculated\n",
+    "```\n",
+    "library(minfi)\n",
+    "library(minfiData)\n",
+    "\n",
+    "process_minfi = function(folder = '/Volumes/LEGX/GEO/test_pipeline/GSE105018_minfi') {\n",
+    "    baseDir = paste0(folder)\n",
+    "    targets =  read.metharray.sheet(baseDir, 'samplesheet.csv')\n",
+    "    RGset <- read.metharray.exp(targets = targets)\n",
+    "    pd = pData(RGset) # to dataframe\n",
+    "    raw = preprocessRaw(RGset) # converts to matrix of meth | unmeth without normalization\n",
+    "    noob = preprocessNoob(RGset) # converts to matrix of meth | unmeth NOOB + linear dye-bias correction\n",
+    "    beta = getBeta(noob) # no SNPS included\n",
+    "    noob_meth = getMeth(noob)\n",
+    "    noob_unmeth = getUnmeth(noob)\n",
+    "    write.csv(getMeth(raw), file.path(folder, \"minfi_meth.csv\"), row.names=TRUE)\n",
+    "    write.csv(getUnmeth(raw), file.path(folder, \"minfi_unmeth.csv\"), row.names=TRUE)\n",
+    "    write.csv(getBeta(raw), file.path(folder, \"minfi_raw_beta.csv\"), row.names=TRUE)\n",
+    "    write.csv(beta, file.path(folder, \"minfi_noob_beta.csv\"), row.names=TRUE)\n",
+    "    write.csv(noob_meth, file.path(folder, \"minfi_noob_meth.csv\"), row.names=TRUE)\n",
+    "    write.csv(noob_unmeth, file.path(folder, \"minfi_noob_unmeth.csv\"), row.names=TRUE)\n",
+    "}\n",
+    "\n",
+    "process_minfi('/Volumes/LEGX/GEO/test_pipeline/GSE105018_minfi')\n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "70c9c5d4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mmeth = pd.read_pickle(Path(mpath,'noob_meth_values.pkl')).sort_index() # methylprep_noob_meth --sesame\n",
+    "munmeth = pd.read_pickle(Path(mpath,'noob_unmeth_values.pkl')).sort_index() # methylprep_noob_unmeth --sesame\n",
+    "\n",
+    "# minfi R-outputs\n",
+    "_meth = pd.read_csv(Path(minpath,'minfi_noob_meth.csv')).set_index('Unnamed: 0').sort_index()\n",
+    "_meth.index.name='IlmnID'\n",
+    "_unmeth = pd.read_csv(Path(minpath,'minfi_noob_unmeth.csv')).set_index('Unnamed: 0').sort_index()\n",
+    "_unmeth.index.name='IlmnID'\n",
+    "\n",
+    "# CLI methylprep with --minfi params\n",
+    "mmeth_minfi = pd.read_pickle(Path(minpath,'noob_meth_values.pkl')).sort_index()\n",
+    "munmeth_minfi = pd.read_pickle(Path(minpath,'noob_unmeth_values.pkl')).sort_index()\n",
+    "\n",
+    "# CLI methylprep with --all --minfi params ???\n",
+    "m_minfi_meth = pd.read_pickle(Path(m_minfi_path,'noob_meth_values.pkl')).sort_index() # methylprep_noob_meth --minfi\n",
+    "m_minfi_unmeth = pd.read_pickle(Path(m_minfi_path,'noob_unmeth_values.pkl')).sort_index() # methylprep_noob_unmeth --minfi\n",
+    "\n",
+    "m_v111_samples = {}\n",
+    "for _csv in Path(m_v111, '3999356047').rglob('*'):\n",
+    "    sample_name = '_'.join(Path(_csv).stem.split('_')[:2])\n",
+    "    sample = pd.read_csv(_csv).set_index('IlmnID')\n",
+    "    m_v111_samples[sample_name] = sample\n",
+    "\n",
+    "m_v146_samples = {}\n",
+    "for _csv in Path(m_v146, '3999356047').rglob('*'):\n",
+    "    sample_name = '_'.join(Path(_csv).stem.split('_')[:2])\n",
+    "    sample = pd.read_csv(_csv).set_index('IlmnID')\n",
+    "    m_v146_samples[sample_name] = sample\n",
+    "\n",
+    "t1_meth = pd.read_pickle(Path(t1_path,'noob_meth_values.pkl')).sort_index()\n",
+    "t1_unmeth = pd.read_pickle(Path(t1_path,'noob_unmeth_values.pkl')).sort_index()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c231e530",
+   "metadata": {},
+   "source": [
+    "# methylprep v1.1.1 vs minfi (noob meth, noob unmeth)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "4ae32331",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 6 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3999356047_R01C01_unmeth': 9.232241569522861e-05,\n",
+      " '3999356047_R02C01_unmeth': 0.0001472295440055741,\n",
+      " '3999356047_R03C01_unmeth': 0.00011443153360447612}\n"
+     ]
+    }
+   ],
+   "source": [
+    "pre = ['3999356047_R01C01','3999356047_R02C01','3999356047_R03C01']\n",
+    "post = ['GSM2815705_3999356047_R01C01','GSM2815706_3999356047_R02C01','GSM2815707_3999356047_R03C01']\n",
+    "samples = []\n",
+    "mean_diff = {}\n",
+    "for idx,sample in enumerate(pre):\n",
+    "    vmeth = m_v111_samples[sample]['noob_meth']\n",
+    "    vunmeth = m_v111_samples[sample]['noob_unmeth']\n",
+    "    delta =  vmeth - _meth[post[idx]]\n",
+    "    delta.name = sample + '_meth'\n",
+    "    samples.append( delta )\n",
+    "    delta =  vunmeth - _unmeth[post[idx]]\n",
+    "    delta.name = sample + '_unmeth'\n",
+    "    samples.append( delta )\n",
+    "    mean_diff[delta.name] = delta.mean()\n",
+    "diff = pd.concat(samples, axis=1)\n",
+    "diff.hist(bins=200, figsize=(12,12), range=[-80,80])\n",
+    "plt.show()\n",
+    "pp(mean_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c87803e3",
+   "metadata": {},
+   "source": [
+    "# methylprep v1.4.6 vs minfi (noob meth, noob unmeth)\n",
+    "difference is slightly off because methylprep v1.4.6 adds poobah before NOOB step for cleaner data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "0f2150e7",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 6 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3999356047_R01C01_unmeth': -0.21698295997381803,\n",
+      " '3999356047_R02C01_unmeth': -0.0015504255523069302,\n",
+      " '3999356047_R03C01_unmeth': -0.5322082452443613}\n"
+     ]
+    }
+   ],
+   "source": [
+    "pre = ['3999356047_R01C01','3999356047_R02C01','3999356047_R03C01']\n",
+    "post = ['GSM2815705_3999356047_R01C01','GSM2815706_3999356047_R02C01','GSM2815707_3999356047_R03C01']\n",
+    "samples = []\n",
+    "mean_diff = {}\n",
+    "for idx,sample in enumerate(pre):\n",
+    "    vmeth = m_v146_samples[sample]['noob_meth']\n",
+    "    vunmeth = m_v146_samples[sample]['noob_unmeth']\n",
+    "    delta =  vmeth - _meth[post[idx]]\n",
+    "    delta.name = sample + '_meth'\n",
+    "    samples.append( delta )\n",
+    "    delta =  vunmeth - _unmeth[post[idx]]\n",
+    "    delta.name = sample + '_unmeth'\n",
+    "    samples.append( delta )\n",
+    "    mean_diff[delta.name] = delta.mean()\n",
+    "diff = pd.concat(samples, axis=1)\n",
+    "diff.hist(bins=200, figsize=(12,12), range=[-80,80])\n",
+    "plt.show()\n",
+    "pp(mean_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79ad3621",
+   "metadata": {},
+   "source": [
+    "# methylprep v1.5.2 --minfi vs minfi (noob meth, noob unmeth)\n",
+    "\n",
+    "ran: `methylprep process -d . --minfi`\n",
+    "\n",
+    "    (base) /Volumes/LEGX/GEO/test_pipeline/GSE105018_minfi$ python -m methylprep process -d . --minfi\n",
+    "    dict_items([('data_dir', PosixPath('.')), ('array_type', None), ('manifest', None), \n",
+    "    ('sample_sheet', None), ('no_sample_sheet', False), ('sample_name', None), ('betas', False),\n",
+    "    ('m_value', False), ('batch_size', None), ('uncorrected', False), ('no_export', True),\n",
+    "    ('no_meta_export', True), ('bit', 'float32'), ('save_control', False), ('poobah', False),\n",
+    "    ('export_poobah', False), ('minfi', True), ('no_quality_mask', False), ('all', False)])\n",
+    "\n",
+    "    (base) /Volumes/LEGX/GEO/test_pipeline/GSE105018_minfi$ python -m methylprep process -d . --minfi --all\n",
+    "    dict_items([('data_dir', PosixPath('.')), ('array_type', None), ('manifest', None), ('sample_sheet', None),\n",
+    "    ('no_sample_sheet', False), ('sample_name', None), ('betas', True), ('m_value', True), ('batch_size', None),\n",
+    "    ('uncorrected', True), ('no_export', True), ('no_meta_export', True), ('bit', 'float32'),\n",
+    "    ('save_control', True), ('poobah', True), ('export_poobah', True), ('minfi', True),\n",
+    "    ('no_quality_mask', False), ('all', True)])\n",
+    "\n",
+    "differences here:  \n",
+    "- quality mask and poobah are turned on with --all --minfi\n",
+    "- --minfi is NOT affected by poobah, since poobah should not run with these params.\n",
+    "- confirmed, it runs linear dye with NOOB under these conditions\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "9d055a37",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1152x864 with 12 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3999356047_R01C01_2unmeth': -16.023457486296667,\n",
+      " '3999356047_R01C01_unmeth': 2.487625001627748,\n",
+      " '3999356047_R02C01_2unmeth': -9.717331450138039,\n",
+      " '3999356047_R02C01_unmeth': 4.113145371007935,\n",
+      " '3999356047_R03C01_2unmeth': -14.802453797568242,\n",
+      " '3999356047_R03C01_unmeth': 5.715650101636692}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# CLI methylprep with --minfi params\n",
+    "mmeth_minfi = pd.read_pickle(Path(minpath,'noob_meth_values.pkl')).sort_index()\n",
+    "munmeth_minfi = pd.read_pickle(Path(minpath,'noob_unmeth_values.pkl')).sort_index()\n",
+    "\n",
+    "pre = ['3999356047_R01C01','3999356047_R02C01','3999356047_R03C01']\n",
+    "post = ['GSM2815705_3999356047_R01C01','GSM2815706_3999356047_R02C01','GSM2815707_3999356047_R03C01']\n",
+    "samples = []\n",
+    "mean_diff = {}\n",
+    "for idx,sample in enumerate(pre):\n",
+    "    delta =  m_minfi_meth[pre[idx]] - _meth[post[idx]]\n",
+    "    delta.name = sample + '_meth'\n",
+    "    samples.append( delta )\n",
+    "    delta =  m_minfi_unmeth[pre[idx]] - _unmeth[post[idx]]\n",
+    "    delta.name = sample + '_unmeth'\n",
+    "    samples.append( delta )\n",
+    "    mean_diff[delta.name] = delta.mean()\n",
+    "\n",
+    "    delta =  mmeth_minfi[pre[idx]] - _meth[post[idx]]\n",
+    "    delta.name = sample + '_2meth'\n",
+    "    samples.append( delta )\n",
+    "    delta =  munmeth_minfi[pre[idx]] - _unmeth[post[idx]]\n",
+    "    delta.name = sample + '_2unmeth'\n",
+    "    samples.append( delta )\n",
+    "    mean_diff[delta.name] = delta.mean()\n",
+    "\n",
+    "diff = pd.concat(samples, axis=1)\n",
+    "diff.hist(bins=200, figsize=(16,12)) #, range=[-80,80])\n",
+    "plt.show()\n",
+    "pp(mean_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d42a9dbf",
+   "metadata": {},
+   "source": [
+    "# how sesame noob was calculated\n",
+    "\n",
+    "    library(BiocManager)\n",
+    "    library(sesame)\n",
+    "    library(preprocessCore)\n",
+    "    # after upgrading R3.6-->R4.1 I had to move cache: https://bioconductor.org/packages/devel/bioc/vignettes/ExperimentHub/inst/doc/ExperimentHub.html#default-caching-location-update\n",
+    "    # sesameDataCache(\"MM285\") # run this once, before you can read mouse\n",
+    "    # version 3.13 DOCS HERE: https://bioconductor.org/packages/devel/bioc/vignettes/sesame/inst/doc/sesame.html\n",
+    "\n",
+    "    in_dir = paste0('/Volumes/LEGX/GEO/test_pipeline/GSE105018_sesame')\n",
+    "\n",
+    "    savefiles = function(sdfs, idx, thisname) {\n",
+    "      x_thisframe <- data.frame(rbind( IG(sdfs[[idx]]), IR(sdfs[[idx]]), II(sdfs[[idx]]) ))\n",
+    "      x_filename <- paste0('sesame_', thisname ,'.csv', sep=\"\")\n",
+    "      x_file <- file.path(in_dir, x_filename)\n",
+    "      write.csv(x_file, x=x_thisframe, row.names=TRUE, na=\"\")\n",
+    "    }\n",
+    "\n",
+    "    # RAW INTENSITY\n",
+    "    sdfs <- lapply(searchIDATprefixes(in_dir), readIDATpair) #readIdat is for one file; readIDATpair is for pairs.\n",
+    "    savefiles(sdfs, 1, 'raw')\n",
+    "\n",
+    "    # INFER\n",
+    "    sdfs = lapply(sdfs, inferTypeIChannel, verbose=TRUE)\n",
+    "    savefiles(sdfs, 1, 'infer')\n",
+    "\n",
+    "    # POOBAH ssets <- lapply(ssets, detectionMask) # poobah and qualityMask now set in sdf@extra$mask by readIDATpair\n",
+    "    sdfs <- lapply(sdfs, pOOBAH)\n",
+    "    savefiles(sdfs, 1, 'poobah') # doesn't save the poobah filtered part\n",
+    "\n",
+    "    ### -- these don't return a modified sdf. so they need a new location.\n",
+    "    # NOOB\n",
+    "    sdfs.noob <- lapply(sdfs, noob) # creates a bunch more sdf objects in a list here\n",
+    "    savefiles(sdfs.noob, 1, 'noob') # noob doesn't actually exclude poobah probes here? unless auto\n",
+    "\n",
+    "    # DYE-BIAS\n",
+    "    sdfs.dye <- lapply(sdfs.noob, dyeBiasCorrTypeINorm)\n",
+    "    savefiles(sdfs.dye, 1, 'dye')\n",
+    "\n",
+    "    # BETAS\n",
+    "    betas <- lapply(sdfs.dye, getBetas) # this uses @extra$mask\n",
+    "    write.csv(file.path(in_dir, 'sesame_mouse_betas.csv'), x=betas, row.names=TRUE, na=\"\")\n",
+    "\n",
+    "    Rprof(tf <- \"log.log\", memory.profiling = TRUE)\n",
+    "    idat_dir = paste0('/Volumes/LEGX/Barnes/mouse_test/')\n",
+    "    betas= openSesame(idat_dir, BPPARAM=BiocParallel::MulticoreParam(2))\n",
+    "    Rprof (NULL) ; print(summaryRprof(tf))\n",
+    "    system.time( openSesame(idat_dir, BPPARAM=BiocParallel::MulticoreParam(2)) )\n",
+    "    # sesame_version user     system elapsed\n",
+    "    # 3.13           42.691   2.705  23.291\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1405218c",
+   "metadata": {},
+   "source": [
+    "# --- sesame raw is exactly the same, except for infer-switched values ---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d78c4e57",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "M    0\n",
+      "U    0\n",
+      "dtype: int64\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3999356047_R01C01_infer': M    0.0\n",
+      "U    0.0\n",
+      "dtype: float64,\n",
+      " '3999356047_R01C01_rawmeth': 7.969323106328988,\n",
+      " '3999356047_R01C01_rawunmeth': 0.2741497635485838}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# --------- sesame raw is exactly the same, except for NaN values -------\n",
+    "t2_path = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_test') # methylprep --all sesame v1.5.1\n",
+    "sample = ['3999356047_R01C01']\n",
+    "mean_diff = {}\n",
+    "\n",
+    "# pulling from the pickles added NaNs and chart wouldn't plot normally. So using CSV output instead.\n",
+    "#raw_meth = pd.read_pickle(Path(t2_path,'meth_values.pkl')).sort_index()\n",
+    "#raw_unmeth = pd.read_pickle(Path(t2_path,'unmeth_values.pkl')).sort_index()\n",
+    "\n",
+    "raw_samples = {}\n",
+    "for _csv in Path(t2_path, '3999356047').rglob('*.csv'):\n",
+    "    sample_name = '_'.join(Path(_csv).stem.split('_')[:2])\n",
+    "    _sample = pd.read_csv(_csv).set_index('IlmnID')\n",
+    "    raw_samples[sample_name] = _sample\n",
+    "raw_meth = raw_samples[sample[0]]['meth']\n",
+    "raw_unmeth = raw_samples[sample[0]]['unmeth']\n",
+    "    \n",
+    "sespath = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_sesame')\n",
+    "ses_raw = pd.read_csv(Path(sespath, 'sesame_raw.csv')).set_index('Unnamed: 0')\n",
+    "ses_infer = pd.read_csv(Path(sespath, 'sesame_infer.csv')).set_index('Unnamed: 0')\n",
+    "#-- ses_raw is identical to ses_infer because I need to apply the sdfs@extra$IGG / $IRR TRUE mask to swap probes\n",
+    "# manually, and besides, openSesame no longer runs this step.\n",
+    "ses_raw = ses_raw[ ~ses_raw.index.str.startswith('rs') ].sort_index()\n",
+    "ses_infer = ses_infer[ ~ses_infer.index.str.startswith('rs') ].sort_index()\n",
+    "\n",
+    "delta_infer = ses_raw - ses_infer\n",
+    "delta_infer.name = sample[0] + '_infer'\n",
+    "mean_diff[delta_infer.name] = delta_infer.mean()\n",
+    "print( (ses_raw - ses_infer).sum() )\n",
+    "\n",
+    "delta_rawmeth = raw_meth - ses_raw['M'].sort_index()\n",
+    "delta_rawmeth.name = sample[0] + '_rawmeth'\n",
+    "mean_diff[delta_rawmeth.name] = delta_rawmeth.mean()\n",
+    "\n",
+    "delta_rawunmeth =  raw_unmeth - ses_raw['U'].sort_index()\n",
+    "delta_rawunmeth.name = sample[0] + '_rawunmeth'\n",
+    "mean_diff[delta_rawunmeth.name] = delta_rawunmeth.mean()\n",
+    "\n",
+    "diff = pd.concat([delta_rawmeth.dropna(), delta_rawunmeth.dropna()], axis=1) # delta_meth, delta_unmeth, \n",
+    "diff.hist(bins=100, figsize=(12,4), range=[-10,10])\n",
+    "\n",
+    "plt.show()\n",
+    "pp(mean_diff)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f52fc761",
+   "metadata": {},
+   "source": [
+    "# sesame noob, before dye step vs mprep"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "f9c6f07a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3999356047_R01C01_meth': 9.168439357283818,\n",
+      " '3999356047_R01C01_unmeth': 9.347128209487355}\n"
+     ]
+    }
+   ],
+   "source": [
+    "t3_path = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_test_nodye') \n",
+    "# df= m.make_pipeline(steps=['infer_channel_switch', 'poobah', 'quality_mask', 'noob'], sesame=True, debug=True)\n",
+    "t3_meth = pd.read_pickle(Path(t3_path,'noob_meth_values.pkl')).sort_index() # methylprep_noob_meth --sesame\n",
+    "t3_unmeth = pd.read_pickle(Path(t3_path,'noob_unmeth_values.pkl')).sort_index() # methylprep_noob_unmeth --sesame\n",
+    "sespath = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_sesame')\n",
+    "ses_noob = pd.read_csv(Path(sespath, 'sesame_noob.csv')).set_index('Unnamed: 0')\n",
+    "\n",
+    "mean_diff = dict()\n",
+    "sample = ['3999356047_R01C01'] #['3999356047_R01C01'] # ,'3999356047_R02C01','3999356047_R03C01']\n",
+    "\n",
+    "delta_meth = t3_meth[sample[0]] - ses_noob['M']\n",
+    "delta_meth.name = sample[0] + '_meth'\n",
+    "mean_diff[delta_meth.name] = delta_meth.mean()\n",
+    "\n",
+    "delta_unmeth =  t3_unmeth[sample[0]] - ses_noob['U']\n",
+    "delta_unmeth.name = sample[0] + '_unmeth'\n",
+    "mean_diff[delta_unmeth.name] = delta_unmeth.mean()\n",
+    "\n",
+    "diff = pd.concat([delta_meth, delta_unmeth], axis=1) \n",
+    "diff.hist(bins=200, figsize=(12,4), range=[-20,20])\n",
+    "\n",
+    "plt.show()\n",
+    "pp(mean_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "73925665",
+   "metadata": {},
+   "source": [
+    "# v.1.5.2 (build_pipeline, sesame, noob only) vs minfi"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "880ce510",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 6 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3999356047_R01C01_meth': 752.8287423527173,\n",
+      " '3999356047_R01C01_unmeth': -715.0082786625668,\n",
+      " '3999356047_R02C01_meth': 780.0390570411862,\n",
+      " '3999356047_R02C01_unmeth': -699.2420467418908,\n",
+      " '3999356047_R03C01_meth': 778.6796715287064,\n",
+      " '3999356047_R03C01_unmeth': -670.208918424742}\n"
+     ]
+    }
+   ],
+   "source": [
+    "_meth = pd.read_csv(Path(minpath,'minfi_noob_meth.csv')).set_index('Unnamed: 0').sort_index()\n",
+    "_meth.index.name='IlmnID'\n",
+    "_unmeth = pd.read_csv(Path(minpath,'minfi_noob_unmeth.csv')).set_index('Unnamed: 0').sort_index()\n",
+    "_unmeth.index.name='IlmnID'\n",
+    "\n",
+    "pre = ['3999356047_R01C01','3999356047_R02C01','3999356047_R03C01']\n",
+    "post = ['GSM2815705_3999356047_R01C01','GSM2815706_3999356047_R02C01','GSM2815707_3999356047_R03C01']\n",
+    "samples = []\n",
+    "mean_diff = {}\n",
+    "for idx,sample in enumerate(pre):\n",
+    "    delta =  t1_meth[pre[idx]] - _meth[post[idx]]\n",
+    "    delta.name = sample + '_meth'\n",
+    "    samples.append( delta )\n",
+    "    mean_diff[delta.name] = delta.mean()\n",
+    "    delta =  t1_unmeth[pre[idx]] - _unmeth[post[idx]]\n",
+    "    delta.name = sample + '_unmeth'\n",
+    "    samples.append( delta )\n",
+    "    mean_diff[delta.name] = delta.mean()\n",
+    "diff = pd.concat(samples, axis=1)\n",
+    "diff.hist(bins=200, figsize=(12,12), range=[-2000,2000])\n",
+    "plt.show()\n",
+    "pp(mean_diff)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fbde5207",
+   "metadata": {},
+   "source": [
+    "# sesame vs methylprep --all (default)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "731bf6a7",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3999356047_R01C01_beta': -0.0021256439592542867,\n",
+      " '3999356047_R01C01_noob+dye_meth': -19.087137169690244,\n",
+      " '3999356047_R01C01_noob+dye_unmeth': 25.25839165295372}\n"
+     ]
+    }
+   ],
+   "source": [
+    "sample = ['3999356047_R01C01'] #['3999356047_R01C01'] # ,'3999356047_R02C01','3999356047_R03C01']\n",
+    "\n",
+    "t2_path = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_test') # methylprep --all sesame v1.5.1\n",
+    "# running make_pipeline(steps=[all], sesame=True, debug=True) shows that linear dye is happening\n",
+    "# and sesame=None in middle\n",
+    "t2_meth = pd.read_pickle(Path(t2_path,'noob_meth_values.pkl')).sort_index() # methylprep_noob_meth --sesame\n",
+    "t2_unmeth = pd.read_pickle(Path(t2_path,'noob_unmeth_values.pkl')).sort_index() # methylprep_noob_unmeth --sesame\n",
+    "t2_beta = pd.read_pickle(Path(t2_path, 'beta_values.pkl')).sort_index()\n",
+    "\n",
+    "sespath = Path('/Volumes/LEGX/GEO/test_pipeline/GSE105018_sesame')\n",
+    "ses_dye = pd.read_csv(Path(sespath, 'sesame_dye.csv')).set_index('Unnamed: 0')\n",
+    "ses_beta= pd.read_csv(Path(sespath, 'sesame_betas.csv')).set_index('Unnamed: 0')['GSM2815705_3999356047_R01C01']\n",
+    "\n",
+    "mean_diff = dict()\n",
+    "sample = ['3999356047_R01C01'] #['3999356047_R01C01'] # ,'3999356047_R02C01','3999356047_R03C01']\n",
+    "ses_beta.name = sample[0]\n",
+    "\n",
+    "delta_dyemeth = t2_meth[sample[0]] - ses_dye['M']\n",
+    "delta_dyemeth.name = sample[0] + '_noob+dye_meth'\n",
+    "mean_diff[delta_dyemeth.name] = delta_dyemeth.mean()\n",
+    "\n",
+    "delta_dyeunmeth =  t2_unmeth[sample[0]] - ses_dye['U']\n",
+    "delta_dyeunmeth.name = sample[0] + '_noob+dye_unmeth'\n",
+    "mean_diff[delta_dyeunmeth.name] = delta_dyeunmeth.mean()\n",
+    "\n",
+    "ses_beta.name = sample[0]\n",
+    "delta_beta =  t2_beta[sample[0]] - ses_beta\n",
+    "delta_beta.name = sample[0] + '_beta'\n",
+    "mean_diff[delta_beta.name] = delta_beta.mean()\n",
+    "\n",
+    "diff = pd.concat([delta_dyemeth, delta_dyeunmeth, delta_beta], axis=1) \n",
+    "diff.hist(bins=200, figsize=(12,12), range=[-100,100])\n",
+    "\n",
+    "plt.show()\n",
+    "pp(mean_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "43aa28f8",
+   "metadata": {},
+   "source": [
+    "\n",
+    "    THESE ARE harder to match up than the output, but luckily the output matches exactly.\n",
+    "    the mprep oob doesn't retain the probe names in index.\n",
+    "    minfiG = pd.read_csv(Path(minpath, 'minfi_oobG.csv')).set_index('Unnamed: 0')[['GSM2815705_3999356047_R01C01']].sort_index()\n",
+    "    minfiR = pd.read_csv(Path(minpath, 'minfi_oobR.csv')).set_index('Unnamed: 0')[['GSM2815705_3999356047_R01C01']].sort_index()\n",
+    "    oobG = pd.read_csv(Path(t1_path, 't1_oobG.csv')).set_index('Unnamed: 0').sort_index() #[['3999356047_R01C01']]\n",
+    "    oobR = pd.read_csv(Path(t1_path, 't1_oobR.csv')).set_index('Unnamed: 0').sort_index() #[['3999356047_R01C01']]\n",
+    "    NOTE: methylprep oobG and oobR contain SNP probes too, but minfi's do not.\n",
+    "    NOTE: 450k ctl_man ctrl_green has 850 rows, but ctrl_red only has 848 rows. Why?\n",
+    "    SDG attrs: ibG has 396374, ibR has 439279, but debug msg says: \"ibG 442672 ibR 528482 oobG 178406 oobR 92596\"\n",
+    "    ... because debug msg combines + stacks meth + unmeth channels ... but parts don't add up.\n",
+    "    \n",
+    "    \n",
+    "df = m.make_pipeline('.', steps=['noob'], sesame=False, debug=True) result\n",
+    "\n",
+    "    {'3999356047_R01C01_meth': 0.1463333209121593,\n",
+    "     '3999356047_R01C01_unmeth': -0.34745759293849976,\n",
+    "     '3999356047_R02C01_meth': 0.06334636886553159,\n",
+    "     '3999356047_R02C01_unmeth': -0.03053014181060626,\n",
+    "     '3999356047_R03C01_meth': -0.29185560562537033,\n",
+    "     '3999356047_R03C01_unmeth': -0.6494391272821136}\n",
+    "     \n",
+    "df = m.make_pipeline('.', steps=['noob', 'poobah'], sesame=False, debug=True) result\n",
+    "\n",
+    "     {'3999356047_R01C01_meth': -14.268274723784089,\n",
+    "     '3999356047_R01C01_unmeth': -19.03968117029445,\n",
+    "     '3999356047_R02C01_meth': -11.299798091666727,\n",
+    "     '3999356047_R02C01_unmeth': -14.77085999493948,\n",
+    "     '3999356047_R03C01_meth': -16.611835004047588,\n",
+    "     '3999356047_R03C01_unmeth': -22.2066433930435}\n",
+    "     NOTE: this matches CLI --minfi --poobah --no_quality_mask exactly!\n",
+    "\n",
+    "python -m methylprep -v process -d . --minfi --poobah --no_quality_mask\n",
+    "\n",
+    "    {'3999356047_R01C01_meth': -14.268274723784089,\n",
+    "     '3999356047_R01C01_unmeth': -19.03968117029445,\n",
+    "     '3999356047_R02C01_meth': -11.299798091666727,\n",
+    "     '3999356047_R02C01_unmeth': -14.77085999493948,\n",
+    "     '3999356047_R03C01_meth': -16.611835004047588,\n",
+    "     '3999356047_R03C01_unmeth': -22.2066433930435}\n",
+    "   \n",
+    "python -m methylprep -v process -d . --all --minfi\n",
+    "\n",
+    "    {'3999356047_R01C01_meth': 752.8287423527173,\n",
+    "     '3999356047_R01C01_unmeth': -715.0082786625668,\n",
+    "     '3999356047_R02C01_meth': 780.0390570411862,\n",
+    "     '3999356047_R02C01_unmeth': -699.2420467418908,\n",
+    "     '3999356047_R03C01_meth': 778.6796715287064,\n",
+    "     '3999356047_R03C01_unmeth': -670.208918424742}\n",
+    "    (this looks like --all turns on dye-bias despite the --minfi flag)\n",
+    "    \n",
+    "    FIXED this on 2021-07-13. NEW:\n",
+    "    {'3999356047_R01C01_meth': -16.023457486296667,\n",
+    "     '3999356047_R01C01_unmeth': -0.11924747245559411,\n",
+    "     '3999356047_R02C01_meth': -9.717331450138039,\n",
+    "     '3999356047_R02C01_unmeth': 4.388272385892256,\n",
+    "     '3999356047_R03C01_meth': -14.802453797568242,\n",
+    "     '3999356047_R03C01_unmeth': 1.6000359669370239}   \n",
+    "\n",
+    "python -m methylprep -v process -d . --minfi\n",
+    "\n",
+    "    {'3999356047_R01C01_meth': 12.10730234391046,\n",
+    "     '3999356047_R01C01_unmeth': 2.487625001627748,\n",
+    "     '3999356047_R02C01_meth': 14.130577026997036,\n",
+    "     '3999356047_R02C01_unmeth': 4.113145371007935,\n",
+    "     '3999356047_R03C01_meth': 15.179276701251773,\n",
+    "     '3999356047_R03C01_unmeth': 5.715650101636692}\n",
+    "     (looks like infer-channel and poobah filtering turns on, but noob/dye is linear)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9c4e89a",
+   "metadata": {},
+   "source": [
+    "# mprep --minfi --all output vs minfi (meth, unmeth) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e8f9fed6",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 6 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3999356047_R01C01_meth': -16.023457486296667,\n",
+      " '3999356047_R01C01_unmeth': -0.11924747245559411,\n",
+      " '3999356047_R02C01_meth': -9.717331450138039,\n",
+      " '3999356047_R02C01_unmeth': 4.388272385892256,\n",
+      " '3999356047_R03C01_meth': -14.802453797568242,\n",
+      " '3999356047_R03C01_unmeth': 1.6000359669370239}\n"
+     ]
+    }
+   ],
+   "source": [
+    "pre = ['3999356047_R01C01','3999356047_R02C01','3999356047_R03C01']\n",
+    "post = ['GSM2815705_3999356047_R01C01','GSM2815706_3999356047_R02C01','GSM2815707_3999356047_R03C01']\n",
+    "samples = []\n",
+    "mean_diff = {}\n",
+    "for idx,sample in enumerate(pre):\n",
+    "    delta =  mmeth_minfi[pre[idx]] - _meth[post[idx]]\n",
+    "    delta.name = sample + '_unmeth'\n",
+    "    samples.append( delta )\n",
+    "    mean_diff[delta.name] = delta.mean()\n",
+    "    delta =  munmeth_minfi[pre[idx]] - _unmeth[post[idx]]\n",
+    "    delta.name = sample + '_meth'\n",
+    "    samples.append( delta )\n",
+    "    mean_diff[delta.name] = delta.mean()\n",
+    "    \n",
+    "diff = pd.concat(samples, axis=1)\n",
+    "diff.hist(bins=200, figsize=(12,12), range=[-2000,2000])\n",
+    "plt.show()\n",
+    "pp(mean_diff)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe416674",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/debug_notebooks/sesame_epic_one_GSE147430.R b/docs/debug_notebooks/sesame_epic_one_GSE147430.R
index 39a6284..7558f96 100644
--- a/docs/debug_notebooks/sesame_epic_one_GSE147430.R
+++ b/docs/debug_notebooks/sesame_epic_one_GSE147430.R
@@ -18,7 +18,7 @@ sdfs <- lapply(searchIDATprefixes(in_dir), readIDATpair) #readIdat is for one fi
 savefiles(sdfs, 1, 'raw')
 
 # INFER
-sdfs = lapply(sdfs, inferTypeIChannel, verbose=TRUE)
+sdfs.infer = lapply(sdfs, inferTypeIChannel, verbose=TRUE)
 savefiles(sdfs, 1, 'infer')
 
 # POOBAH ssets <- lapply(ssets, detectionMask) # poobah and qualityMask now set in sdf@extra$mask by readIDATpair
diff --git a/docs/example_data/read_geo/GSE111165_test.csv b/docs/example_data/read_geo/GSE111165_test.csv
new file mode 100644
index 0000000..bf2d948
--- /dev/null
+++ b/docs/example_data/read_geo/GSE111165_test.csv
@@ -0,0 +1,201 @@
+,Unnamed: 0,ID_REF,200607090061_R03C01,200392800020_R07C01,200392800020_R04C01,200607090061_R07C01,200607090075_R03C01,200607090075_R07C01,200392810022_R03C01,200392810022_R04C01,201502810008_R04C01,200607090086_R07C01,200607090089_R04C01,200392810089_R01C01,201502850030_R08C01,201501980013_R02C01,201501980013_R01C01,201501980012_R05C01,201502800036_R04C01,201502800051_R02C01,201502800036_R02C01,201502810025_R07C01,201502810041_R02C01,200392810139_R08C01,200392800020_R06C01,200392800020_R01C01,200392810139_R01C01,200392810139_R04C01,200392810139_R03C01,200392810022_R06C01,200392810022_R08C01,200392810139_R02C01,200392810139_R05C01,200392810139_R06C01,200392810089_R02C01,200392810089_R05C01,201501980044_R06C01,201501980044_R04C01,201501980047_R06C01,201502800051_R06C01,201502800040_R05C01,201502800040_R03C01,201502810008_R03C01,201502810041_R04C01,200607090061_R04C01,200607090061_R08C01,200607090075_R04C01,200607090075_R08C01,201502810007_R06C01,200607090086_R08C01,200607090089_R06C01,201502850007_R03C01,201501980047_R01C01,201501980013_R03C01,201502800040_R04C01,201502810025_R02C01,201502810007_R02C01,200607090089_R01C01,200607090089_R08C01,201502850030_R04C01,201502810025_R05C01,200607090061_R01C01,200392800020_R08C01,200392800020_R03C01,200607090061_R05C01,200607090075_R01C01,200607090075_R05C01,200392810022_R05C01,200392810022_R01C01,200607090086_R01C01,200607090086_R05C01,200607090089_R02C01,200392810089_R04C01,200392810089_R06C01,201501980044_R01C01,201501980047_R04C01,201501980013_R08C01,201502800019_R08C01,201502800019_R03C01,201502800036_R08C01,201502810007_R04C01,201502810025_R08C01,200607090061_R02C01,200392800020_R02C01,200392800020_R05C01,200607090061_R06C01,200607090075_R02C01,200607090075_R06C01,200392810022_R02C01,200392810022_R07C01,200607090086_R02C01,200607090086_R06C01,200392810139_R07C01,200392810089_R07C01,200392810089_R08C01,201501980012_R06C01,201501980044_R02C01,201501980047_R05C01,201502800036_R03C01,201502800040_R07C01,201502800019_R02C01,201502810025_R01C01,201502810041_R08C01,200607090061_R02C01_Detection_P_value,200392800020_R02C01_Detection_P_value,200392800020_R05C01_Detection_P_value,200607090061_R06C01_Detection_P_value,200607090075_R02C01_Detection_P_value,200607090075_R06C01_Detection_P_value,200392810022_R02C01_Detection_P_value,200392810022_R07C01_Detection_P_value,200607090086_R02C01_Detection_P_value,200607090086_R06C01_Detection_P_value,200392810139_R07C01_Detection_P_value,200392810089_R07C01_Detection_P_value,200392810089_R08C01_Detection_P_value,201501980012_R06C01_Detection_P_value,201501980044_R02C01_Detection_P_value,201501980047_R05C01_Detection_P_value,201502800036_R03C01_Detection_P_value,201502800040_R07C01_Detection_P_value,201502800019_R02C01_Detection_P_value,201502810025_R01C01_Detection_P_value,201502810041_R08C01_Detection_P_value,200607090061_R01C01_Detection_P_value,200392800020_R08C01_Detection_P_value,200392800020_R03C01_Detection_P_value,200607090061_R05C01_Detection_P_value,200607090075_R01C01_Detection_P_value,200607090075_R05C01_Detection_P_value,200392810022_R05C01_Detection_P_value,200392810022_R01C01_Detection_P_value,200607090086_R01C01_Detection_P_value,200607090086_R05C01_Detection_P_value,200607090089_R02C01_Detection_P_value,200392810089_R04C01_Detection_P_value,200392810089_R06C01_Detection_P_value,201501980044_R01C01_Detection_P_value,201501980047_R04C01_Detection_P_value,201501980013_R08C01_Detection_P_value,201502800019_R08C01_Detection_P_value,201502800019_R03C01_Detection_P_value,201502800036_R08C01_Detection_P_value,201502810007_R04C01_Detection_P_value,201502810025_R08C01_Detection_P_value,200392810139_R08C01_Detection_P_value,200392800020_R06C01_Detection_P_value,200392800020_R01C01_Detection_P_value,200392810139_R01C01_Detection_P_value,200392810139_R04C01_Detection_P_value,200392810139_R03C01_Detection_P_value,200392810022_R06C01_Detection_P_value,200392810022_R08C01_Detection_P_value,200392810139_R02C01_Detection_P_value,200392810139_R05C01_Detection_P_value,200392810139_R06C01_Detection_P_value,200392810089_R02C01_Detection_P_value,200392810089_R05C01_Detection_P_value,201501980044_R06C01_Detection_P_value,201501980044_R04C01_Detection_P_value,201501980047_R06C01_Detection_P_value,201502800051_R06C01_Detection_P_value,201502800040_R05C01_Detection_P_value,201502800040_R03C01_Detection_P_value,201502810008_R03C01_Detection_P_value,201502810041_R04C01_Detection_P_value,200607090061_R03C01_Detection_P_value,200392800020_R07C01_Detection_P_value,200392800020_R04C01_Detection_P_value,200607090061_R07C01_Detection_P_value,200607090075_R03C01_Detection_P_value,200607090075_R07C01_Detection_P_value,200392810022_R03C01_Detection_P_value,200392810022_R04C01_Detection_P_value,201502810008_R04C01_Detection_P_value,200607090086_R07C01_Detection_P_value,200607090089_R04C01_Detection_P_value,200392810089_R01C01_Detection_P_value,201502850030_R08C01_Detection_P_value,201501980013_R02C01_Detection_P_value,201501980013_R01C01_Detection_P_value,201501980012_R05C01_Detection_P_value,201502800036_R04C01_Detection_P_value,201502800051_R02C01_Detection_P_value,201502800036_R02C01_Detection_P_value,201502810025_R07C01_Detection_P_value,201502810041_R02C01_Detection_P_value,200607090061_R04C01_Detection_P_value,200607090061_R08C01_Detection_P_value,200607090075_R04C01_Detection_P_value,200607090075_R08C01_Detection_P_value,201502810007_R06C01_Detection_P_value,200607090086_R08C01_Detection_P_value,200607090089_R06C01_Detection_P_value,201502850007_R03C01_Detection_P_value,201501980047_R01C01_Detection_P_value,201501980013_R03C01_Detection_P_value,201502800040_R04C01_Detection_P_value,201502810025_R02C01_Detection_P_value,201502810007_R02C01_Detection_P_value,200607090089_R01C01_Detection_P_value,200607090089_R08C01_Detection_P_value,201502850030_R04C01_Detection_P_value,201502810025_R05C01_Detection_P_value
+0,1,cg00000029,0.692341806162555,0.6501474065855861,0.629556379543235,0.617170916867328,0.7682301325073471,0.7375938385201579,0.7745487726903071,0.623422908790941,0.6144717386806661,0.59167342162338,0.7402346340014979,0.6832830353778729,0.540790960485101,0.6594400272985821,0.672695350139454,0.517398674722673,0.6857684426380201,0.5975655149750021,0.72860309664525,0.46092956017213105,0.656377717127958,0.372343227030866,0.530785495290332,0.625970217200999,0.48779222373142694,0.593440254058699,0.5916545716184611,0.504180524769194,0.532386162069173,0.515271184592063,0.5822388686034089,0.601470106739334,0.625546839116074,0.526761215219718,0.4705714622449911,0.48511419272607403,0.44901296854857103,0.321929164192365,0.5570390944798921,0.537119439111678,0.665325780920069,0.44460810076657503,0.7122352358851289,0.7257261876842758,0.685692252240662,0.8035937285007709,0.6635824992044731,0.6933407114161501,0.7591190825799741,0.634353131843842,0.654766777158806,0.574097457396955,0.786531512305025,0.575917980063342,0.708290802754807,0.699521486929684,0.754306928051227,0.662844127495381,0.628582166181924,0.217214368194392,0.29368554072912,0.519292646331405,0.452814464490603,0.46275749983817493,0.358777512854812,0.453983248364604,0.17725607487894396,0.37813467125372296,0.45099074821744395,0.35334910160711297,0.22180209353390998,0.32837213842905605,0.0887333507498012,0.39096957726582504,0.250502511995838,0.0678921552022805,0.0917111894464731,0.4415776888307779,0.46387032261862704,0.0660183117641898,0.0583285333725907,0.0628323291894631,0.0822550688803628,0.110701807005642,0.119569469253099,0.0399033170410972,0.11771294382623,0.0343209788433515,0.11748934112967,0.21293395936981702,0.0343768975750807,0.05079871454159,0.0268385485493794,0.0328571564707096,0.0723876490752942,0.15968024103644698,0.0323892793125821,0.0415124810496957,0.040821238053031,0.133073849838357,0.0338368962023095,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1,2,cg00000109,0.917552856039591,0.8867378101763891,0.946125072410092,0.9284927057993759,0.8793149733633359,0.881112034877934,0.937939777976961,0.889240667699933,0.922340989214634,0.8918111026364269,0.915845815304984,0.9288612152340359,0.92704295456452,0.8574663125461541,0.844445455870016,0.883701032528672,0.8870704882648099,0.929178387896547,0.889152774241902,0.913608144827404,0.906204309340366,0.966137726129225,0.979559755855509,0.969146450754907,0.972569661453422,0.9697704367877109,0.974440981663367,0.9771433375173298,0.9699925918162801,0.9683345988995491,0.961315232473023,0.960922984285641,0.9718259374218791,0.9761857498018042,0.9585278756386449,0.9564913656241809,0.9744811352948961,0.915175092261485,0.95850698426742,0.94085715991136,0.968322257346228,0.965388719303296,0.8922945042909309,0.7944532214339821,0.8725636795193901,0.8574017109651708,0.93654651949986,0.8941923526055029,0.930435110325682,0.8936912719625759,0.821152816743698,0.805240237585244,0.676911236483042,0.8248122112599641,0.9260386484097549,0.9312196691592671,0.920724713065756,0.952738676227179,0.92336204798836,0.933574547997638,0.968596317235688,0.968214220923457,0.9612480833557759,0.939988612631537,0.9725591050771171,0.970953506255379,0.922903791158116,0.952648910314783,0.95568477362563,0.9342182650896891,0.9570849242012059,0.976857322126348,0.9663198961545191,0.9642554162476759,0.948271685312278,0.9370540373781441,0.9468633230663009,0.958982916174728,0.802851857596199,0.954350805643854,0.933420007958795,0.9590082351840341,0.947574402041554,0.92960460248366,0.951005027620614,0.9526605594009119,0.9609004553232942,0.929441607312629,0.9145300341111191,0.939186755737264,0.9631170382251891,0.9553852229600792,0.9586455070155809,0.961702864352216,0.9489966072260619,0.947355656391802,0.9300569136615409,0.9248505160988549,0.921031472418759,0.9339686234965842,0.929046060431275,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2,3,cg00000155,0.985697179281703,0.990819610371992,0.9800959441347,0.9860211900634169,0.969461127680819,0.9800522348162779,0.9822538892102891,0.9824112760288979,0.9831317248539171,0.970960254743807,0.974121727039385,0.9817720710363059,0.98341020011089,0.982781099201933,0.9813993702004251,0.979523615025833,0.9820731710158008,0.972570242680549,0.9749736530391858,0.9784928774189201,0.975728936682235,0.9860451525948649,0.9850870319920841,0.985055564522289,0.9860480892284641,0.9881788265125809,0.981576976325327,0.9797233790375508,0.9911147538623679,0.984960989922007,0.978650519497409,0.97698764021964,0.9849357404288341,0.97969847849086,0.9781982611171,0.9760605072917781,0.984297793022017,0.9774385577067121,0.982096764609369,0.975149650790101,0.9799786357917769,0.9761359160243921,0.982581702351713,0.9883090372028509,0.9773883258298041,0.9882270241506981,0.976796928292432,0.9819836167240942,0.9760607792016991,0.9819530555406809,0.9695073285279371,0.976475631944277,0.9516381193674742,0.97879936547031,0.980514954034813,0.962871336587765,0.975221409723586,0.972868451586753,0.9749345859224549,0.9787272293668822,0.9879210784746669,0.9807445108369459,0.9868739623684559,0.9814023951899059,0.981765868114484,0.985730120097115,0.981236518989688,0.9791811041072109,0.974214846515162,0.976029091350766,0.9758119106376991,0.981450051192832,0.973873881575392,0.977747847515051,0.986338442047063,0.9843078193286271,0.97606067310259,0.9875924338065359,0.9711026993182729,0.9798212089377679,0.9837793108287869,0.97763371393315,0.9823016785702109,0.9833532439222579,0.981238425884407,0.980364113867861,0.9855182660406341,0.973240853196381,0.975282530858562,0.9763973932194542,0.978632254090402,0.9800381776128549,0.985053396590394,0.984194272165703,0.9729786439410999,0.966233828405734,0.965787911156418,0.981314736973484,0.972880226881324,0.96782886515874,0.981771061761889,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3,4,cg00000158,0.9907303308882691,0.9956817207019019,0.991487700536087,0.9902228838487809,0.9796193049984421,0.9870189702647829,0.98485352697218,0.980999453126645,0.9862775306779459,0.986380395731554,0.981404605795963,0.984082196106299,0.99262214594131,0.9853073744027929,0.986094571695333,0.986714111435294,0.9891722145331371,0.9856484388860999,0.9836173174060859,0.988257169453871,0.989810851990612,0.9914931571060258,0.9922089110570699,0.9877720487940179,0.98739832629739,0.9898346239358969,0.990180861687853,0.986065836593343,0.9906246470692851,0.9884877366584,0.9858919626040781,0.988596995282446,0.9875178536061451,0.9893423968793009,0.987853024476353,0.9855841104872229,0.9894246213356469,0.9816567527825941,0.986925863080178,0.9835234055391752,0.990223696567702,0.9870098280583559,0.9810374455328541,0.983560553937277,0.9852069642490829,0.99025706052604,0.9759512799810691,0.9834547389834879,0.981613731071192,0.985631714723586,0.9626408788064571,0.964273635652605,0.9668948561622951,0.9854463220516101,0.979338490171119,0.9778879330566009,0.978456012089438,0.984096050214958,0.9772185882920691,0.9887872914041759,0.9943539253206449,0.988867164619414,0.992713956031627,0.991698238195588,0.9890675754200301,0.987181256695227,0.9803370666994441,0.981562955795609,0.982719711050017,0.981744245055777,0.983412352807955,0.985497804401433,0.9873702385275291,0.987131283456986,0.991939432074708,0.991644467248999,0.984058250006593,0.992279331332841,0.967448773976771,0.9897734660487341,0.981043068921488,0.9859195956679019,0.982961835957696,0.988338644204268,0.9841431623263609,0.986526767421679,0.984417254011868,0.9867898014595291,0.9820494387593179,0.9819969689369591,0.986944841741889,0.9823485254448541,0.9817755015630228,0.990291029795835,0.98435775774414,0.988537561036569,0.988359493525811,0.9825895246910809,0.988455773191365,0.9873662987711479,0.987250394498259,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4,5,cg00000165,0.104618725639603,0.0626267897312311,0.0848064707064236,0.0547435351308171,0.0412673786856542,0.0491260820591988,0.047596951388522005,0.11466836499324001,0.057457050418123,0.0461938326260753,0.052017450201062,0.0524859445487234,0.0328674681733543,0.0513092388554932,0.0428228334221465,0.0434710903429224,0.0582203307803674,0.0342743399015505,0.0790507900040774,0.0432582726789643,0.0519857201541662,0.0338631383195421,0.0931712901961353,0.0742101865103587,0.188118490808259,0.0654800473937696,0.110706510225865,0.114646476583194,0.0730382948050844,0.122141623314202,0.0633468588074242,0.0822971200875911,0.0919034315809927,0.0614103976616845,0.0475976489811255,0.0610771385716243,0.0938521838710647,0.0837487409781981,0.0757406390228561,0.0638047287100346,0.0799189055466516,0.111097827719763,0.0502955078567781,0.0373422504517635,0.0564945676835508,0.0525060863891381,0.0231991122582972,0.0495060912818516,0.0414212257003825,0.0410560784876496,0.0669009735611914,0.0331031794096159,0.0557394673749564,0.0470261446872549,0.0349428339439706,0.0308856551580863,0.0349529906458612,0.0311845085479716,0.0290182494670003,0.0736647155822978,0.0385231903500007,0.0978246063211128,0.13988941636362198,0.049445829552169,0.0717661471925334,0.0784499721360759,0.0485306398134426,0.0619928023585418,0.0568979595700901,0.0381085281559947,0.0555517009548936,0.108670972748487,0.0829046527960544,0.0707690405399161,0.0349794829156485,0.0731680472781606,0.0709639841120165,0.0465782751479898,0.0712290391199344,0.0489253535964304,0.0770168472937852,0.0669382850126797,0.0670752676331987,0.141327395465024,0.10195775949078699,0.0634894141148459,0.0818026342173122,0.0723385343444733,0.0571206759487967,0.0559383840330834,0.0362329755604712,0.0531069018129243,0.07115927158370501,0.0415358982512815,0.0726232739222826,0.0688502522677165,0.0718852817257313,0.0573101893638619,0.0622535388592232,0.051469149273852995,0.0452108936017229,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5,6,cg00000221,0.9709452058874151,0.975279066154666,0.9693539732936931,0.968886026616388,0.909731140366166,0.9603781915449359,0.9552483890024329,0.959910508505277,0.935896706290396,0.928820163405395,0.94094853057328,0.958822868333395,0.959310733205504,0.945508575988131,0.9284378361883939,0.9538053511693391,0.9429535411667621,0.911273595828753,0.9372612793135509,0.947886874459558,0.951701673374318,0.9667495993591179,0.9742083591019909,0.961232167928829,0.9402188327912291,0.965467519502625,0.9702710790807819,0.9758629507351441,0.9836812482216201,0.965864236519312,0.9482614726761891,0.9425132223506869,0.948623195983398,0.974379065322389,0.9252981730152858,0.9211114621382259,0.9444888254209579,0.917126760487822,0.935713010496193,0.934931992497743,0.936671727741263,0.948854771520727,0.9391953853451909,0.9236257803347141,0.9525216642933391,0.9585484838945859,0.9420394072653921,0.950838413249904,0.9350559951849731,0.9294656191288849,0.9379487579700772,0.8976273029918671,0.818279196969351,0.941636376664315,0.9302265469939759,0.927392476710252,0.9256031099863661,0.9446122317268659,0.9238757746322471,0.944732093717871,0.9759892611877221,0.961787213973708,0.9692497403425508,0.951253171794775,0.960292590157578,0.96815539659621,0.9251214046328491,0.9204742019856709,0.942542921351842,0.9092367549390409,0.951391581723595,0.9619773348650451,0.9124100104649828,0.9324522430394571,0.9513394766516658,0.935077293607053,0.9189957218644409,0.933737153151886,0.8385636391493809,0.883792395141289,0.9535633470814558,0.9666806882477931,0.937116266533626,0.950471618466423,0.940094593524538,0.9593223551857759,0.9237077874636019,0.9417295319482641,0.9110047517740609,0.9363710590028539,0.957046344302693,0.9498752901941501,0.9701252355998249,0.963140500129422,0.9146787855511349,0.9091420231217501,0.9019541878497159,0.8965820027800309,0.9442704046512121,0.9255017153292521,0.9052711162343701,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6,7,cg00000236,0.938889264991557,0.970624455121758,0.9544242239435391,0.9561593765041999,0.9569600742619949,0.9577245381561321,0.951228703709527,0.948193777233247,0.9381109130391792,0.958494156398469,0.932917527547015,0.9253118703380508,0.9557283568492371,0.9633957585754229,0.9437242450853829,0.945955819424153,0.942415111623365,0.933182195696949,0.952237679235828,0.9203324385415241,0.960596984795703,0.8623536243572779,0.773502936358788,0.8372785047811021,0.805672129908449,0.8307122141030692,0.8208943652251179,0.7262103751691089,0.788961049102383,0.74970997452227,0.7724560327541571,0.804973003868496,0.7213065136093041,0.8217131880912779,0.777385100180202,0.7802719180389929,0.714740663400625,0.7808195795522909,0.78834361876267,0.771017301751989,0.897087739223022,0.778474013035723,0.9561008181039709,0.9422649274052471,0.9382807067718499,0.9695908831246222,0.9170245565584741,0.9708003807399909,0.952079923047068,0.941243486580008,0.913961005903812,0.906974679908486,0.898099816508119,0.9505267728098209,0.8851045337005691,0.904408276454306,0.956505551637493,0.920366199527875,0.937587232160098,0.873293592647318,0.8805179576819742,0.772875206890437,0.8454776228466759,0.863201494976235,0.8090743224430041,0.7503904109778109,0.907353620047863,0.8128955221308259,0.8276989582066999,0.90910661108925,0.9041548803602819,0.917569522831187,0.9281202237620559,0.8147172536102609,0.822275198778095,0.9731214592370391,0.933907370826889,0.8993304750196929,0.8557362646485029,0.948230390658324,0.953012239790749,0.9388588179559421,0.9186359624631791,0.9556964896780121,0.9373995860646128,0.9631564111913629,0.9218637987210869,0.9639153036650691,0.9074686518510899,0.8979382546084191,0.963620952321244,0.958538117106825,0.9674906940828121,0.9544283627325579,0.919156557529892,0.877525501863555,0.953239226936714,0.95507047742008,0.9462497873377879,0.8879261486572991,0.9438483823310929,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7,8,cg00000289,0.921899571865822,0.9426130548299531,0.9131884993600591,0.8604799002205029,0.6934082008959189,0.8368349936550219,0.855177108140063,0.9237385799189191,0.85378414284549,0.831732587918767,0.8195341123153481,0.9041239975198041,0.7821688656855451,0.7757067280876949,0.809240076057617,0.7916368770490471,0.8400638285713281,0.7709025201103922,0.8276645945614491,0.8654211627405229,0.8080805693773722,0.8556136098360101,0.964739196849294,0.946955431651185,0.939114762172139,0.9358239647578891,0.9408368223209691,0.968679269162148,0.9797421635828709,0.9502547925798079,0.904966059982677,0.8427970880060109,0.925551932927819,0.9575532811255899,0.7973301718938449,0.8367281810626,0.9125742388628509,0.663990716222943,0.815298302476808,0.8303574412807758,0.8192297813260799,0.819681719062402,0.7678561721797399,0.537223263906252,0.832091992813952,0.8161944752750501,0.730023567770813,0.8146864606073231,0.869667930142117,0.77444050975483,0.605843962937446,0.47376642989402,0.403662518227621,0.7957302819265641,0.75685866242135,0.7221687053746321,0.675275497378332,0.7110865982698001,0.6651613404912591,0.8524970832824419,0.843435104526158,0.9699898755821359,0.909336665854788,0.871353326287567,0.9191667856215391,0.9616418693058809,0.790749938470255,0.87468338598814,0.824505836936125,0.7688421091410029,0.857213303263593,0.958192552190658,0.903833238326212,0.8510304382359509,0.647595046908908,0.690654914058743,0.761178089007122,0.742826320546085,0.486853921305774,0.797896339900283,0.898948580722297,0.9183554859351809,0.8481750965395258,0.7825996954461941,0.845767620220198,0.8421454311311659,0.893440921143896,0.825151891257935,0.824531643005489,0.8708100960652528,0.901000176413158,0.868518464311851,0.920872612669203,0.8798574661261029,0.8284203951558109,0.848100660750957,0.8003438577154741,0.740283236990564,0.83270026210107,0.832020217081389,0.6261312822923261,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.98867589062957e-11,0.0,0.0,6.11732886568461e-12,0.0,8.7626628175741e-09,0.0,0.0,0.0,0.0,0.0,5.88418203051333e-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.05203973205437e-10,0.000708299792706701,0.0,8.68340954696123e-11,8.425335128459109e-07,3.20299342604358e-13,3.70814490224802e-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.1810999107383395e-13,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.71780236888497e-08,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.1850049697347303e-06,0.0,0.0,0.0,0.0,0.0,0.0
+8,9,cg00000292,0.643102709435976,0.597435592864348,0.632661010018215,0.636915894859558,0.655727443871264,0.6719961130819561,0.57766352491654,0.670924853011334,0.67933082534947,0.70118723212568,0.694774487983775,0.6374218440344189,0.6931530535995141,0.586195435408915,0.611693561922251,0.619972479368209,0.6374608814049899,0.699451390299796,0.573357400603833,0.644191775882971,0.644648844377719,0.903249378582895,0.8349447907925149,0.856106733739364,0.871450192586556,0.905366813381006,0.868689523206725,0.855003021913989,0.8750289840891279,0.8409598141013191,0.8582044997870492,0.884852099874542,0.8335973298060891,0.8964825172972589,0.8772630734155649,0.869612394247075,0.8359103282616641,0.9051309006733259,0.854589331810845,0.8490484600910759,0.903790102695958,0.878904367053013,0.693902865629655,0.6276812421606971,0.628904690972062,0.637123647799096,0.853320205740382,0.57057960083952,0.671603776451135,0.597875062690703,0.6899500544609181,0.6513377682762199,0.555375277533307,0.548536600318969,0.9141935952093041,0.9196245203592591,0.949940949483697,0.9494292947925981,0.9131391889440329,0.6872900937239039,0.818237459120312,0.8126417443147179,0.7995769766368701,0.756257063939016,0.7675802350343491,0.793019721744196,0.729686830333263,0.7897486276848109,0.821791680252038,0.764548992008104,0.633680836759551,0.769262336749745,0.584670920079035,0.7739676857210591,0.83727620960688,0.7195880402592459,0.6640625683425551,0.7277418981365509,0.9295549679101058,0.613201265146184,0.501801994138235,0.6714776819677151,0.6509519800838721,0.690495314085802,0.682996603975867,0.631536650925692,0.57733844385686,0.714264504589354,0.7346796075203241,0.683572834956297,0.651577937679241,0.625549880160354,0.5976698159583571,0.580164763644354,0.590813069828963,0.687081559583805,0.66097083778835,0.595969674314088,0.589609117747338,0.63826279213974,0.5666794165192479,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9,10,cg00000321,0.718637715012418,0.639173619844044,0.745123675865587,0.7689428298790469,0.7352304527143321,0.8244071836793101,0.748972574702853,0.475813055405743,0.589926559995465,0.5563499948003578,0.626190356910913,0.463720631668076,0.584833618914375,0.391614903187891,0.522268595825828,0.7134219052931,0.7927050426947859,0.522907175130365,0.7170893333952041,0.582876414140135,0.580101665534525,0.483798210976424,0.25246943641074604,0.28137399776556105,0.18456093157489803,0.172784564930882,0.2036840227859,0.263591508205118,0.13099969286958302,0.215153299187999,0.20314525568356398,0.269720529529754,0.174604546011387,0.200297850075575,0.274295637948303,0.261227775244739,0.244011987283548,0.347857177109732,0.15062929554637,0.0888404326424361,0.21954937504330602,0.158721468648403,0.7412332485691351,0.7416983785473871,0.6269285467149449,0.8568020735298209,0.585442555854186,0.760604736240288,0.778241409470862,0.7528482452194759,0.4469895565923811,0.32300318954855395,0.49840979013118497,0.622669109160254,0.48936539431379705,0.7094131190855358,0.5398907531670221,0.6783420858198771,0.744978610442812,0.4615604605448321,0.244856954784751,0.27220839800151897,0.31981884659403004,0.30255866204258197,0.319635715030256,0.30971522484693,0.422800029148177,0.356297892828051,0.220024752570507,0.389917869947076,0.381659506557322,0.3373079361958689,0.480356960065836,0.33023461268076504,0.22792014200089303,0.543578597215343,0.49971300257328005,0.18804100376947697,0.21188033294542896,0.27756144960595003,0.7463424767411091,0.5692146601561421,0.525868816066672,0.675459368423832,0.5874430904252099,0.583771245627216,0.49481812266798797,0.7116366072347379,0.3814799554626939,0.5458889745283649,0.461458989232595,0.5703164404833541,0.66376547145966,0.652617409211246,0.5466699016022021,0.49567645825066403,0.671335412560786,0.57146672309668,0.617034632729615,0.530161354561014,0.594271111832402,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10,11,cg00000363,0.163372291359941,0.160448425945634,0.176191501790214,0.162017409562055,0.164325811971142,0.160863518764625,0.201430932159471,0.16351487461845998,0.141223069917478,0.131785267547557,0.19701344384653305,0.119838779067064,0.0645038196329623,0.10248137266914999,0.223568771218221,0.10857942600854499,0.127519461405804,0.0843204735244742,0.14417036096195202,0.0978432786335812,0.10806570985052802,0.290367862241523,0.332980323238046,0.359434818653308,0.386077186523794,0.30490589769887,0.323428516863513,0.392456973313123,0.36558952251463706,0.32721119748197997,0.35112042108190095,0.29960660513810494,0.31759238972494397,0.359436091806151,0.297551220511875,0.307732094682049,0.33352140762293797,0.295567440886857,0.31663869332408195,0.346670406924865,0.33138992964707004,0.28703681517639,0.0606363666602043,0.050809036750214004,0.15079601756798097,0.13790766745498498,0.0360069160881813,0.176568464296075,0.185560555383707,0.121731500850214,0.0570997605587712,0.0421857342466647,0.0300395413779906,0.13799856881854997,0.0253127658742425,0.0325137519752413,0.0326436487533295,0.0332741011614175,0.0259809892768017,0.20651448926336102,0.21100949691128698,0.33600266491743697,0.303838783310396,0.283466881612691,0.23975362821298699,0.384527054089702,0.163504358467226,0.2653654375982,0.315273915817123,0.19893466633939003,0.141149738715124,0.26797234315979296,0.15562601259420902,0.279782073811065,0.275558548174051,0.0604061157127899,0.0648345500648614,0.16471249368927,0.24420083639409199,0.0443633890276255,0.0297421005556617,0.122636357791061,0.085470658135545,0.0789647333678932,0.0791156013185981,0.0355552409183381,0.15602357022472302,0.025639844419810005,0.10916614271907199,0.11643312150547801,0.0246855944912692,0.0353359070961854,0.0153080451114607,0.024166585403546003,0.12715067536581098,0.200779632991154,0.030703456222492,0.021757299222987997,0.0437278027312454,0.12662299314582,0.0173826824680405,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11,12,cg00000540,0.86450852307951,0.869103519412638,0.8160979062187421,0.908147064398342,0.8289816936982819,0.7920958611782671,0.86852204251919,0.84829467464591,0.884907691413899,0.8996135507099101,0.9180569386922701,0.891031145449998,0.923645660069481,0.896679332231786,0.870904566402982,0.912958689095511,0.8832258314013081,0.9188573260905641,0.8408465074460509,0.908197498978928,0.871548452870458,0.9759628599236658,0.920819044046271,0.934726579641865,0.9138280048372222,0.926170720622095,0.918269684004803,0.927046978752823,0.9442846293673242,0.914788744075649,0.945571347932753,0.9373951796906049,0.8969564746503911,0.929698947969487,0.9521384202139559,0.940536600328995,0.932856784690391,0.9549476237190351,0.9537088305935401,0.9548913965621341,0.939950226065425,0.9581810088637479,0.9260357557982449,0.962342038600446,0.864176247611953,0.8912381704568539,0.96838789497758,0.919664514377618,0.9081631060188899,0.860979281832519,0.930331442050371,0.9640884683689241,0.9556798224752541,0.806662986967514,0.968286069200393,0.9778061076172379,0.9818758476934449,0.977495195779713,0.970072214991829,0.943559843219413,0.963603158130842,0.947198730516859,0.9492845524964241,0.942569456603902,0.9173246988666209,0.9483598908568209,0.940841997655615,0.945338238898717,0.9480576457748949,0.971354040036442,0.9190974995264991,0.921170269786848,0.8990683697046229,0.944299662981078,0.978039183817758,0.98103389788964,0.9498233145122209,0.9712850569470569,0.975146075744495,0.960958832839372,0.924415341259356,0.89855198293091,0.962321011203794,0.9132854938868101,0.927599660850903,0.949270324372704,0.949061588599167,0.9317608958198119,0.937960942526019,0.942003641086452,0.909120838367236,0.870828098651932,0.8855576085189821,0.895628255995876,0.941309936154029,0.957030541856341,0.9438749361178091,0.953558654069222,0.946514909960389,0.9351466696301691,0.947674954914032,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12,13,cg00000579,0.9853617205450259,0.9934692359838609,0.98416506003001,0.9855072526214759,0.980366802789636,0.983171217609407,0.9825331706312959,0.978739370457267,0.985732757524005,0.979786435309181,0.9757724248659019,0.971795066000207,0.984801884195326,0.98575745555399,0.982050095535369,0.9879918979281039,0.984352357634511,0.984553025437568,0.9810031398056359,0.9850088411688851,0.9739390931422421,0.935185289275641,0.9877538010789642,0.98689709795318,0.9853161092386691,0.987138076707338,0.991513484436538,0.9837204794122439,0.993233542229397,0.989126914904589,0.988341588154157,0.988096493609394,0.9845367712855451,0.986855777802602,0.9864965036802671,0.984115061308638,0.9874556333811579,0.9825389750234641,0.9859199895546991,0.982514297350479,0.984952388212876,0.9855598988759542,0.9784758993100441,0.9870987255708571,0.9847827003272149,0.987512410575486,0.9844420384387711,0.985666280912539,0.978683861993108,0.986242639048611,0.832130418469882,0.8885772409991222,0.9565610526497741,0.981621640300191,0.979866438944667,0.973603389523165,0.9829576189090601,0.9827879020193431,0.9791045914375849,0.881340519137634,0.9826457053123091,0.980047970631028,0.971678668738893,0.9610556356163521,0.9539738401503621,0.966379318201138,0.8790189091978929,0.9589086807902,0.9708032057993521,0.902802343264631,0.8890656307754391,0.918424721438628,0.763405096561163,0.9485995234425829,0.988349822741746,0.9269583425831519,0.9142097337021979,0.9919272361639279,0.979473191023235,0.7139348388289609,0.964762649984864,0.932721098066917,0.974971329235685,0.96367901263751,0.889790375949475,0.8753249972905209,0.954026191285616,0.854099838725947,0.937045322323893,0.957958790483785,0.9065520867472191,0.81854908857134,0.8846980061460009,0.771483465523719,0.9079567959860679,0.9222887476310171,0.918516470674632,0.951424438194595,0.929752808312749,0.959629491216442,0.9508595033563191,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+13,14,cg00000596,0.616763751197838,0.719904258417083,0.521176189370045,0.6590054650985071,0.560408302638445,0.6301172501443381,0.6501363168400329,0.683564326596348,0.6763762560373421,0.621058203219328,0.603228688735019,0.639334031575275,0.701270318018239,0.6795479023702541,0.704552719135833,0.7074328199390442,0.5898381476217261,0.694504479541315,0.608294644191928,0.743413623523219,0.595159310107874,0.8648431589645471,0.710679036927428,0.764617561363119,0.7595956975695799,0.729593681591302,0.728676675654913,0.840022989067908,0.7013689221809539,0.7773070760182859,0.77439768866705,0.837095694970525,0.7098186703217879,0.7652148676849821,0.7549504608325329,0.706282942229397,0.739991858507777,0.9093227400861271,0.7725596538206599,0.720178185638813,0.8132617178171291,0.783347730175548,0.806748053078659,0.7454058990231509,0.640158284071901,0.7457454874453291,0.9586704591025831,0.665562749334383,0.6371081412611179,0.6254298080383511,0.857016924367139,0.904380350089367,0.85489741331291,0.6269023099576351,0.978262621094121,0.973156633222184,0.976128527670573,0.974690264565825,0.971748832480568,0.826773480418316,0.843511187030526,0.8186085943900371,0.789488016007266,0.8236488759201959,0.7579069930187559,0.8103534473642099,0.774540023387035,0.7820443789386229,0.793815269410729,0.812336644763508,0.769342300813088,0.7735476292535209,0.70624166551433,0.703216039442975,0.8174834054451621,0.8318443770655709,0.7859559653700021,0.7504365921957711,0.883504207584641,0.944194098687989,0.8088800516233849,0.763448763994965,0.8200366132887141,0.8205640131857671,0.8267662944583639,0.7780796672596851,0.789421750384793,0.7242956140196211,0.8210811421064029,0.754603447305211,0.801611629960809,0.7654211615522769,0.731531706190879,0.700128533565603,0.7188324316998391,0.7728310269316641,0.730943370358752,0.802783532988572,0.735291660902043,0.7844641514941699,0.860719616738559,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+14,15,cg00000622,0.0205089391303105,0.0130624230125108,0.0193655315907877,0.0244827077373221,0.0195978956705631,0.0244795217417953,0.0218268907633591,0.0203780750522077,0.0206417396188315,0.022744038088315,0.02183522882314,0.0213237844579902,0.0133187773701906,0.0206386669866503,0.0210015606593525,0.0162319889610904,0.0228692324880507,0.0217127314873491,0.0221351450215454,0.0186352811839859,0.0209075260153163,0.0170764020412626,0.0169228447839203,0.0194266903772682,0.0207100681537903,0.0234174789160593,0.0220560178562299,0.0220596971621375,0.0191353120878565,0.0206897782986794,0.0213216649912022,0.0199844359030697,0.0231279720207855,0.0231767680412527,0.0220917386318499,0.024340621189598,0.017814451899490002,0.017459893554976003,0.0231569331769269,0.0222140084376108,0.0205138956684101,0.0259564944057135,0.0198838635783471,0.0152850487952358,0.019471946199406003,0.0152325047302355,0.0174467402883574,0.0187514662606873,0.0197973055852461,0.0199427817937699,0.0267357904730332,0.0196759499389818,0.0205359321822118,0.0225306766800378,0.0191944262529382,0.0246878819500122,0.0201719444279538,0.0207197168882668,0.018480832274104,0.022822409902451,0.0177347727350588,0.0219286583206179,0.0220428703852717,0.021067466143633,0.0255907018993409,0.0224794254956256,0.0226831179707146,0.0262559011283931,0.0214080010830581,0.0238659054524226,0.025981974184464,0.0213824292072233,0.0237505246200558,0.0238841543295098,0.0158178660901885,0.0116730310129906,0.0205166848907148,0.0152013128760728,0.0181360015031015,0.0199703842242291,0.0233537730616701,0.0203603028211361,0.0235778010114459,0.0191289656173067,0.022333159893839,0.0200452988458837,0.0226767692711618,0.0192898596959548,0.0269120140663394,0.0229897532691111,0.0201634507685067,0.021412887875663998,0.016779554312448,0.0201584603725233,0.0242008847478147,0.0251189348704242,0.025285075830346997,0.0268167288854932,0.0215736963756031,0.0258589566439242,0.0174787937865406,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+15,16,cg00000658,0.88277729367348,0.88365750714257,0.833551449032727,0.8479615251668242,0.833614507082741,0.8587374158096122,0.851565994095191,0.883681737032788,0.79156808146397,0.8454326623583079,0.825491350350976,0.8393608499075341,0.905367334042725,0.82314271498014,0.8167407682793308,0.845277800749322,0.7554560680782241,0.806337929935894,0.840352078939877,0.84155854223033,0.815298173974817,0.9189286665194609,0.8541050624956259,0.8487792965264909,0.8727685799091809,0.838855273425412,0.8687175919957529,0.845186828295466,0.876967388457356,0.8494550090124481,0.838373846633359,0.818472402246138,0.870777701219542,0.896472925835201,0.8301004122719391,0.8397212797274021,0.846400590065621,0.7766549408857351,0.833514350418363,0.803104303317837,0.80586240101951,0.8020750948676559,0.856450167245795,0.8993237591809641,0.854264500243457,0.876900840616128,0.787268461850708,0.842663020173649,0.854796481778779,0.845608508259112,0.793005546660957,0.831752186944229,0.8365059888079791,0.797533647720554,0.7623981428773942,0.8493153693537819,0.847169469103522,0.7924918315143609,0.7916068940195881,0.8859241362812809,0.8948472256279258,0.888215667389348,0.8655096790083728,0.8497487646044141,0.8286568266979879,0.8734465111389029,0.8980607057662049,0.8201004517498729,0.8530614190723729,0.854610130462243,0.855400370594595,0.8567282056211999,0.8081572817423042,0.855804966864507,0.9122134899118199,0.857318248634894,0.8526242443494101,0.8670657588844509,0.872176212253754,0.868209747825062,0.8696874139909659,0.8326157218506051,0.829568978612407,0.8955647796514079,0.829115765190742,0.8491980432418309,0.8336749529356021,0.9063353408456869,0.837268876412181,0.854288630560037,0.8426699186388,0.8826185152898229,0.874993946157386,0.805078375647698,0.837457628103755,0.8580100026845751,0.8008296028652909,0.864024362434991,0.818345641154522,0.803033912056133,0.8785608071312792,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+16,17,cg00000714,0.10606984631118199,0.0864108248504572,0.110821923781009,0.0975408670507144,0.10245678955843199,0.10060197649578399,0.16287606275563501,0.0628405687740305,0.05891808838890401,0.0609214647957981,0.0875719507266477,0.0572468476794011,0.0470859147352289,0.0854026374633766,0.113695588913428,0.0498698960684952,0.11528201759025,0.0481739249866919,0.11615354594192501,0.0594698233317793,0.0552740948035924,0.115265157005431,0.152645167148552,0.18647482155662,0.11751243923278398,0.15844050575183,0.147095259583919,0.152376057041254,0.0990169338416054,0.13092323508796197,0.124506565765039,0.142500761425046,0.067926099613253,0.152935197749487,0.11685750851390699,0.140646123324797,0.10220637003319301,0.0618959730634676,0.17062381355434,0.117593483696282,0.178547803161565,0.13874652157420098,0.0852661626421226,0.0740627470123743,0.0785059451969639,0.0929727394569664,0.0423013760616684,0.07568843829911999,0.10140771593244198,0.0635516039383003,0.0567294695116541,0.0560444934543675,0.101884659102955,0.0512350088920133,0.041499326505980004,0.0405024017482901,0.0388599126213105,0.0353939514065674,0.0399036312761055,0.0769932121897275,0.0651538297649789,0.0999500267721138,0.0748776382809668,0.118220798530675,0.0730450204898192,0.12850458012902802,0.0508405204277471,0.13776939020458498,0.0903507046042945,0.0609879712398239,0.0464650671118615,0.104378845047913,0.0702480215765748,0.111609564369334,0.0639919755300375,0.0506794927644233,0.0742777656689854,0.080655968463479,0.114001371897262,0.0422771304145156,0.0428852599609758,0.0611088283730133,0.0708864266897163,0.055914398517052,0.0759416507346445,0.0370571025716787,0.0628977700600788,0.0400123448108464,0.0572125887677719,0.058752616248097994,0.0477791457108758,0.0342252145959401,0.0317043276295652,0.0488903015790667,0.0879492079128295,0.0739179781863702,0.0522585926666501,0.0449504408355746,0.0456837543563043,0.0795597059039239,0.0395088434639845,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+17,18,cg00000721,0.978699321445797,0.9936145497404679,0.979789186279282,0.977514893859203,0.961319552881365,0.9675020243926891,0.9747566250723689,0.968872697415827,0.9749177129434499,0.964268812398154,0.9636152033215349,0.9776043914620991,0.9805208511699641,0.972380733101702,0.971313593687237,0.971958569402359,0.979657201817146,0.965213923324157,0.965219186694746,0.9741166958173672,0.9618912361372299,0.95278412335865,0.985008214683323,0.986494922598245,0.9777247570477801,0.9784303347728759,0.9783328056726139,0.984305151893798,0.9887498229397191,0.9784249066058871,0.9768928163870959,0.9704387075995959,0.9752412524447851,0.980351873402328,0.9717061781933941,0.9694421575733619,0.984826842279235,0.963894644518222,0.9605828237800871,0.9662035557418209,0.967570761617118,0.972057528795823,0.956919249726123,0.9591862794705501,0.9733952260591949,0.977756730679274,0.885965895299113,0.9744810739995551,0.96361903424824,0.96466843879188,0.9660453258952071,0.955775874412114,0.8967911095974921,0.9770673034844599,0.943946555663145,0.930549732836589,0.916555897248995,0.9503967769615559,0.957313620841944,0.9674757064183871,0.982079422620717,0.984240826172795,0.9813996779853391,0.965190227084274,0.972710186082746,0.979326851097573,0.9566563868582991,0.9596132390462321,0.9614033251280659,0.949652340154486,0.971048971795406,0.9798512449698951,0.9681870887216241,0.9727166658842841,0.9832657011874258,0.9677234864980779,0.9714248309150509,0.9810040418459691,0.856035072565056,0.9659648367765521,0.964046245975756,0.9712067548571109,0.977632574147789,0.969097050758203,0.9684309311196241,0.968022727030313,0.9703945749726292,0.9654414145394659,0.955274509845577,0.9723860034559709,0.973886866640265,0.9684058051676991,0.978177468148996,0.978455778374126,0.965794048230798,0.9706230555412991,0.9585334787309109,0.967544298314853,0.9707228466728092,0.956861895328895,0.9600443457414619,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+18,19,cg00000734,0.0291382831497163,0.029417339801002,0.0263746174760601,0.0224623452312015,0.0197453143743365,0.0299224918155754,0.0311809271536123,0.0330636673560871,0.0318764657889513,0.0325552635917257,0.0301801492766652,0.0267479953564819,0.0109705972851125,0.027962496207400003,0.0374609440595471,0.0370143413326347,0.0370012731254068,0.0300547367327147,0.0236864524226749,0.0280812892469533,0.0331409992947995,0.0188603755319916,0.0251386344407373,0.0375616353598252,0.0487097696113612,0.035303869637103996,0.0279220021470049,0.0295383399006128,0.0249015295709345,0.0268791756518865,0.0376592231455251,0.0363669277412064,0.0361930989038627,0.0295214459971169,0.0335758773918537,0.0356271687859834,0.0392062785765399,0.0301017953712259,0.0327449790115379,0.0307876092066217,0.0367973031991194,0.0345390424245149,0.0276732387684503,0.0255618692819862,0.0300673714670698,0.0281136646127099,0.0279088632509548,0.0293375904417928,0.0334758413720748,0.0321615078867409,0.037080982808547006,0.0317890567099672,0.0341419733487324,0.0399256758517214,0.030383598751296,0.0320339133916695,0.0241991813080934,0.033209872884463,0.0304123202833689,0.0238622457419202,0.0181617905935671,0.034042400634822,0.0248215957198581,0.0205679881783567,0.0304222110797416,0.026587951025198998,0.0236032458056066,0.0318189942973582,0.0333550268101924,0.0288325142244893,0.0449662357631787,0.0209479888517587,0.0263318544309213,0.0255836976259855,0.0141184805281317,0.0165988513171644,0.0307525551178655,0.0276545925388093,0.0305853758143811,0.0196595538825818,0.0302105079607178,0.0322182150507717,0.0339366488721081,0.0397824370814442,0.0248265941121865,0.0143545319272749,0.0269676583153096,0.0383718849064908,0.0402074873739086,0.0381310330856873,0.032280318419262,0.0219906840446842,0.0289665173751836,0.0328609379574583,0.039550429286315004,0.0300033791454637,0.0388937348819836,0.0280283241737844,0.0332694833860141,0.0419600291228733,0.0233726053034614,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+19,20,cg00000765,0.971729929838028,0.988489713028157,0.9750248658388521,0.9897392910213271,0.9831666503890291,0.9808367654415721,0.96969582308292,0.970111031829782,0.9790948569427149,0.976794739712328,0.974817535181234,0.958637812521222,0.973624370532646,0.9743661170486179,0.9775653304086172,0.9803150544483329,0.9665054454670831,0.9741216007696709,0.9852623630618209,0.981913065964005,0.9784023400878441,0.9807118177325369,0.9711745763614941,0.9714387838575409,0.9756483455141941,0.9865249212771671,0.973600218726418,0.953564234802375,0.9807465418176559,0.967943295986498,0.9694436974541829,0.976135630378419,0.966094446989967,0.974536023362994,0.9737007861084251,0.9742830271980579,0.968095743915571,0.981506781885013,0.982730731573958,0.9665393192466779,0.9858567512501379,0.97805873543632,0.985950549642989,0.985660169466946,0.9829285039864529,0.9854641935685949,0.9610910970372951,0.982128699290864,0.962740125006371,0.982462184328993,0.965682895337875,0.9643031732696129,0.9528533403093299,0.972889637751728,0.97074307880073,0.9689129118929041,0.94929603907397,0.964560646534394,0.983666651335973,0.9770248501098371,0.9621091290539129,0.968440507825535,0.9801574599829009,0.9761696767121899,0.963249112544183,0.9788387379485409,0.9734387547127851,0.971104812533955,0.971660114716251,0.981400637165633,0.962180514663812,0.969056018718085,0.972531474270199,0.969117604022914,0.9877758540276441,0.995511005658234,0.9817093930866819,0.992276140224192,0.985991544857433,0.972622629581141,0.9826394834329979,0.95180748951996,0.9678041649553041,0.982612928654666,0.977709105579532,0.9740364913977181,0.96778133169358,0.9640456089446309,0.9599520468384771,0.971068873986114,0.978793259123402,0.978468394710635,0.9601777963681669,0.968730797208896,0.981888862767422,0.977171699600304,0.9837514731790692,0.9703481248364151,0.9753482921993292,0.970846293478265,0.975839662051343,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+20,21,cg00000769,0.0159781917480462,0.0119231584582156,0.0141709886384169,0.0116408475968527,0.0172937707757091,0.0184665641989418,0.0147987604956224,0.0161407711327409,0.0156695657344603,0.0127992499194192,0.0166859404036724,0.0146394437625063,0.009746214544169109,0.014193146866621001,0.0145714466729846,0.0119724336149374,0.0131838451885635,0.0135735425106645,0.0149128751814826,0.0174578783266101,0.0173658731959533,0.0140693958637048,0.0126283166391387,0.0109858360977049,0.0171982088264373,0.0159842943566346,0.0142948624152109,0.0142924152528526,0.0114369766909688,0.0144214361334714,0.0167916347686602,0.0160321781067834,0.0174473715013538,0.0148878597206188,0.0169477029457135,0.0207116591380071,0.0149851848544689,0.0136362945177538,0.0153006713300848,0.0149188580755551,0.0142001183595852,0.0198858237043956,0.0125954778824344,0.0096634027309799,0.0158027856097111,0.0124680213945753,0.012284817230994,0.0120041091660194,0.01505500097429,0.0130954214016424,0.0161680479885975,0.0158611305017779,0.0148780337160139,0.0158206482128241,0.0159896869858416,0.0171268173744765,0.0133289422209145,0.0128239692385003,0.0163676100086874,0.0134931570287755,0.0131155056842728,0.015412325327123999,0.0132268689037974,0.0139490382185441,0.0184184318865387,0.0138930704789366,0.0152622966347112,0.0208387948672025,0.0166256723815469,0.0184084729213035,0.0164984880290296,0.0131579036320527,0.01729450549821,0.0176911014886662,0.0083082605277551,0.0115771590695038,0.0146335941395519,0.00850141912244187,0.0141254096492058,0.0106160983172645,0.013529491395701998,0.0135751595800254,0.0172974430885126,0.0135253690922493,0.0163698977654707,0.0155726904243305,0.0156063365824628,0.0189773228014114,0.0175717921090942,0.014174468148853002,0.0122978394288341,0.0172201624104991,0.0130423574370365,0.0142130213582898,0.0175135127553798,0.0148707905699381,0.0158258342687129,0.013055341537837,0.0155851949093106,0.013990708471209999,0.0142332275445014,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+21,22,cg00000776,0.883957977305942,0.93984552734072,0.8706340076543291,0.941237307133476,0.8718966352433579,0.925201820744803,0.90627466917408,0.7929763945113472,0.873352961148005,0.8535907431802109,0.9029343765191229,0.8274257164764659,0.908409319968037,0.894761378635832,0.9084544021413851,0.873737546675197,0.945691260421575,0.8459354275027859,0.8980252292069991,0.87361059046748,0.846354000862737,0.48947671444983604,0.5856363072338772,0.5735085131698809,0.554028906034442,0.589608323516953,0.5613399674008521,0.5389173433244651,0.456225249690055,0.619145436373989,0.600488241217768,0.593153408398277,0.5772895444967271,0.51952575170111,0.474438657853474,0.498394350713656,0.5530169841461059,0.549395035657673,0.6339445214111179,0.519297391373874,0.7788025365749399,0.5644493785873671,0.921759219308528,0.9204033763357259,0.813959584487468,0.9571509921672741,0.939184263657158,0.935258770215763,0.931378263909648,0.894511932642672,0.9418760855854971,0.9178701753441371,0.8038126600451491,0.782663843065287,0.9409410463285091,0.9463589436722329,0.9241893603067729,0.943703151012833,0.931952865288178,0.7032997579070001,0.6355409734174711,0.497592108234618,0.607525073910029,0.6903458212279711,0.6530877401596871,0.60167165117483,0.8164194760223991,0.658570028790124,0.57489422956239,0.8339338948082858,0.849130618658798,0.692655342047723,0.8205542862932441,0.665617856758785,0.416225945157931,0.8807989360056491,0.916848579265527,0.716669403110386,0.6683832105335921,0.9209878850578721,0.9643014045495641,0.9145578892624571,0.9059628963383008,0.9419985333362589,0.926396267883021,0.9490831920244409,0.8757895333251551,0.9538578780001808,0.873804663379411,0.868610895235438,0.9647552581939409,0.9528176169833941,0.970869049389038,0.9531544148463929,0.902855194099179,0.7867812998844521,0.950697149391366,0.9466219178745571,0.9321839052849771,0.8756133856965841,0.9423212573936891,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+22,23,cg00000884,0.9345702135049309,0.9654216986600259,0.952695364729088,0.9425800752630908,0.9175341733965279,0.946219644746714,0.920881125202791,0.9373894211637158,0.93710389538736,0.9289042798759559,0.924249807242318,0.9312998981055041,0.935893443006631,0.9404412907218871,0.919051132449061,0.924378799189987,0.9116547125626508,0.910890508465064,0.9350078523223391,0.9454833351180101,0.9418727456444499,0.960235853748585,0.9457060629422009,0.951384552524361,0.9459102724648499,0.945821538322037,0.936709444393353,0.9688047883233499,0.9556110160990359,0.9498954465116991,0.9047815286482221,0.9132458041707741,0.9486563770890399,0.944008952474912,0.94190064986627,0.9195135853672901,0.946766745283953,0.9036627302182559,0.925982975851772,0.9379943627058621,0.942110193180232,0.928719859432348,0.9489221963663009,0.9137617826213279,0.91192954294589,0.9434476120240459,0.9141912706681371,0.945879654527652,0.941666650672261,0.9469845938992428,0.9071442459919811,0.943466622211246,0.892431358427947,0.9385697266139691,0.9227486726944999,0.902623345331462,0.910152831424263,0.9008816503405631,0.920545490647635,0.9322291724017909,0.96291061690508,0.9650142796002181,0.92721295730166,0.9311997235125791,0.946748522554072,0.9493129509101421,0.916016936649933,0.9262071651825391,0.9013156101734,0.9196781327812881,0.9094962372288579,0.939847375089357,0.92311042649576,0.940357139780484,0.955872112302986,0.899682561184707,0.930441378249702,0.925271029073351,0.9193960776455741,0.9126545255148679,0.9440194654199019,0.9257527186960269,0.9351451280771701,0.9279328132396859,0.9295564073710542,0.955829478813283,0.92666616878786,0.919748983088758,0.9085875287884309,0.901789239380692,0.925356826114037,0.918840645675295,0.959706730668568,0.943766715621242,0.9092974700046501,0.9139877865458069,0.9134393517420369,0.91763837489636,0.935191330315089,0.928150816849515,0.9489780624202729,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+23,24,cg00000905,0.0137943283446168,0.0130687184651031,0.0160589368921128,0.0245125065272633,0.0204689033978437,0.0154191449565312,0.0172665038765218,0.0212092226464205,0.0183064521448025,0.0214173541893316,0.0255825345159557,0.0178491076016045,0.012977781231219,0.0169756414892782,0.0237768004731792,0.0162550887547388,0.018851670135556,0.0230399267682021,0.0267188378240316,0.0124364238521088,0.0235458771469107,0.0107369512010808,0.0160888708958516,0.0279709750773454,0.0288487737161817,0.0251440609921974,0.0237835575343352,0.0264003765767851,0.0146383663915709,0.0203300417519392,0.0355928199317758,0.0216591929737952,0.0193095604499273,0.0175167418522089,0.0190634931372055,0.0210563087025061,0.0243197821055233,0.0229918709448111,0.0257326898898996,0.022740869471674998,0.0223406192747748,0.0167360530716005,0.0178621434545281,0.0126421281632596,0.0195990586891342,0.00995329571829808,0.0322071551044492,0.0138512992952269,0.0195246196989959,0.0191035105422122,0.0178513728697418,0.0179107313546822,0.028375350287537,0.0179113814214391,0.0150183288660199,0.0195891401612119,0.0178350601890554,0.0204402478083528,0.019624204234558996,0.0202309049900173,0.0163413615242407,0.0222254975828606,0.0190462926601827,0.0171098147429239,0.0252609931877266,0.0140232550723249,0.0300076111738774,0.0277518349959562,0.0230003134082687,0.0210609368886559,0.0279993203566884,0.023145696813731003,0.026496342378082002,0.0254388722339304,0.0125253149154182,0.0230226025490192,0.0316155922792515,0.0120924449299804,0.0294532422739353,0.0152745001428128,0.0259769707400372,0.0200339018581128,0.013002973182700002,0.0160291467142025,0.0381934281006926,0.0177617497474661,0.0293468451594984,0.0208868768299155,0.0249389030359467,0.0266461272122974,0.0219502877804022,0.01472432163007,0.0182197530774219,0.0155002306878621,0.0207322432766033,0.0180251868075629,0.0233181842425929,0.0267543938802558,0.0332432340222973,0.0208954451816233,0.02228851140332,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+24,25,cg00000924,0.525133210646027,0.5535268749068111,0.526803206474746,0.5306737114132499,0.436459497403173,0.48389943097333,0.4996048147735061,0.48619820314132506,0.552790876625619,0.541533997194303,0.518496194584355,0.49309624254558704,0.46696807051797495,0.519167100509238,0.48943789266230897,0.503629486546334,0.5334569950312911,0.5168182203583329,0.502124652307925,0.5295361584096261,0.507679913041982,0.5433351555561611,0.5493542817287039,0.549171410246095,0.503332971448494,0.5030229344554099,0.532781246607267,0.560737648724925,0.554662813548496,0.591764029623379,0.51299062024976,0.505246058633128,0.5154976054566599,0.5327342810061091,0.460457174922859,0.484238980193025,0.489624390858159,0.425368010500217,0.5033317197245779,0.524301958603771,0.5225558931033439,0.48194389438865604,0.46847020776142,0.44970097478111604,0.506141880469159,0.5099312011575929,0.48371502550919704,0.545406626151921,0.51858247214801,0.5012026054224671,0.48468411490009705,0.34992980706774196,0.39200803900105496,0.534944967120939,0.453817245963218,0.487099880685885,0.5050781549643929,0.5164850186901749,0.4726082610992221,0.531481471869341,0.504013910701236,0.573815203465281,0.5663649762358871,0.555423199830876,0.535989719050308,0.5907151192229639,0.542219383105157,0.529171589859312,0.536373573805892,0.5612213875809621,0.539455425558483,0.617548095609161,0.584817051106469,0.48189467216184706,0.511424763449961,0.559951376375229,0.621619498679946,0.49971747823768603,0.438099346061943,0.541472301771287,0.544257542253905,0.525944533297632,0.5440958147742629,0.536907829507992,0.548526870289287,0.504712097823771,0.516692140157325,0.512764352919358,0.53171871069854,0.577562247804628,0.5258377201044689,0.492169653595553,0.49951122423498495,0.5152947263452461,0.49521873700597396,0.569285493492519,0.5028728265620049,0.558157747313001,0.523831611671828,0.5078494755211921,0.5668298307293089,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+25,26,cg00000948,0.9629791896306958,0.9509009984733571,0.955410679074218,0.9641452256081631,0.9560648396029051,0.958793646235561,0.960176156343594,0.9501006420279379,0.951120055912583,0.949185975228388,0.937749669824557,0.944321840428604,0.9570878505265491,0.942009506733239,0.959340376069201,0.91847550760287,0.9500021005658941,0.937119239989656,0.9418746273076422,0.9644490768843059,0.945477941203748,0.9365850556771271,0.9293540189427411,0.9463444440331191,0.937560759857028,0.9238572963758659,0.916532140850578,0.920979867156295,0.917312659018035,0.93928479409473,0.9006070386293492,0.919983725346774,0.9212299017872579,0.919184989650134,0.864218852102001,0.884509176998896,0.9040567308463872,0.9037523825920841,0.8661837096111341,0.8714801896779141,0.9189634563398491,0.879470757179756,0.968504192384381,0.9683917721784849,0.9668284353963879,0.9646124518598901,0.933744187407784,0.9709300667908131,0.9458931611675491,0.9363805939297891,0.9707665887062299,0.935478514763004,0.979962940520196,0.93995833477358,0.9439925598264229,0.9550610885234191,0.965151465312962,0.9432775849558329,0.9383434319693591,0.9175787372394,0.897715850400525,0.940106055606627,0.9352880530734742,0.907845377521661,0.901749451825902,0.942801193423111,0.9023317888821569,0.906476795185813,0.893169065647234,0.932942402164183,0.9515895263025992,0.9426351426691211,0.9462842027278859,0.909205527037438,0.9134594279276541,0.953173861298368,0.9440497378321341,0.930393670314591,0.9161418591181519,0.9520661532345921,0.9240891871865659,0.90521518122151,0.9532414618639059,0.951921927772331,0.949292202021826,0.924469203414523,0.907539975326618,0.9502200935521121,0.9184066436597859,0.9437117754120999,0.9202682565139181,0.9477276724095459,0.9527900144110211,0.932263982237654,0.9116090076020109,0.92533568580745,0.94663132626368,0.916305237191155,0.9362711245739979,0.923200091006823,0.967767121624423,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+26,27,cg00000957,0.8820780534686979,0.9147669350630699,0.8860524412928741,0.917939152685999,0.88117362166584,0.895427959241433,0.8434366367520649,0.8521671206416841,0.8931835219975379,0.907528564454645,0.9062599203406109,0.858620719821596,0.8043420297897809,0.873610663134434,0.875980348616271,0.898768605499468,0.9048208967149329,0.8925220614682691,0.876600158027695,0.9074198244063909,0.8984262282932649,0.973482005584511,0.922322110950801,0.902406375301833,0.9286918785857651,0.9071359840498779,0.9129338411278409,0.92437303368794,0.9264773367836,0.898311467405647,0.926097327341376,0.9277970327384331,0.9364337704636851,0.912084472542152,0.9326571992298779,0.8954482933006971,0.925032016094867,0.931651295712277,0.898741721929159,0.890070448576405,0.9119931657580699,0.952489423385126,0.893262560161989,0.9546320280623521,0.8610532371122819,0.9293989207910609,0.9370113867318142,0.9229169816667729,0.870634538419305,0.875158874326912,0.833288173093322,0.564734209667937,0.812288140233721,0.905034196085554,0.8933570985496841,0.8843270359799109,0.938819187484355,0.538607514922725,0.8435528966406171,0.912641209425113,0.9470228322341969,0.914261469449083,0.9130753233757121,0.901816605367274,0.8995922690405451,0.9057629583080541,0.914588812325942,0.8964227301658629,0.925629576594332,0.8990399028564541,0.9006410360474529,0.912536497831964,0.8706804870479201,0.9145044476474279,0.9642141266216759,0.964197108670843,0.890696034409109,0.951026665581973,0.917939729491209,0.905587895589743,0.8971227503399891,0.893869989890807,0.8958357550853091,0.90983807417731,0.898208576752582,0.9181190967274749,0.9023692964016341,0.907868024205525,0.8581107474644449,0.895917894259893,0.9038036325030351,0.915577313599297,0.9172185908392291,0.8940097438577421,0.869322623944741,0.8787412745950111,0.887092863407928,0.8590091832255659,0.88801214371473,0.8788497917525999,0.9153312110827451,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+27,28,cg00000974,0.006578358917037071,0.00900736367611263,0.008392056535661859,0.0150217401498186,0.007849258989590659,0.00912717329274208,0.0129367215179688,0.00851399179746675,0.0124794836736326,0.00921137378506993,0.0111400731291938,0.00955809819406438,0.00652924547486104,0.00720189372212814,0.007639265040741971,0.00834098280237441,0.0123144754914766,0.0069401033089339,0.0145898346467146,0.007396008828837559,0.0113660118486531,0.0102998547901339,0.016488349894104,0.011943059087211001,0.0131038864945781,0.0149117478327949,0.0132140483805161,0.009359523498177641,0.0106587801189162,0.0110961654354377,0.0102382011470846,0.0078114689864156,0.01386049271933,0.00864949323035279,0.0104735176222123,0.0100691930642263,0.00904826675152128,0.0105607147066883,0.00940757733904531,0.0082456741465359,0.0105622834444803,0.0112364272075191,0.0116023591062982,0.00595179249804196,0.008917005968054491,0.00662641551058282,0.005695651594324979,0.0044091963565909605,0.009046279711142309,0.0129945405999526,0.0104290221211128,0.00853961524926332,0.008753502581904509,0.011860167419847,0.0114979853245682,0.007617149196108091,0.00607964659442847,0.0077704817420968094,0.00801770257316131,0.0102995060260234,0.00725013405330766,0.010879496038741998,0.00983902635894085,0.00964562839274505,0.007519132625105841,0.0086962809068768,0.00980790905149386,0.00930163957989881,0.010955357444468001,0.0103764071537907,0.0130301357767395,0.013092849526861999,0.0255689152856133,0.0178742806587006,0.0105575010645774,0.00433979728703355,0.0154899369524146,0.005075474179181571,0.0059742028794552895,0.007854576103966041,0.00746952460436637,0.00951124398119496,0.00908153206154493,0.009333514105496491,0.00950852333853665,0.011756700527917,0.009546848884250359,0.00880471045715467,0.0112096740786626,0.00791503517396948,0.009027478446918641,0.008193825761786991,0.00823830873571936,0.00884882609537444,0.0120578947927685,0.0106101141196614,0.0118139952941639,0.009791339856346821,0.00721681151019595,0.0111541873882089,0.00866097414468792,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+28,29,cg00001099,0.7334739323739708,0.8156036643913509,0.668435126720968,0.8080842286596379,0.6698306496609879,0.709129013847026,0.7453585726785471,0.72857319779863,0.717799854178658,0.7228193613065659,0.717361793438349,0.7135607456623421,0.6646723398204301,0.6839952786456579,0.6910757810904921,0.6994643964264129,0.729154072700199,0.6176270588640489,0.730401372271904,0.655966346390339,0.606280998218467,0.8477139143465451,0.652553713982818,0.782880708074543,0.8151946306134058,0.71719257793796,0.705013306575876,0.821506207093519,0.835974242047693,0.7936442651423541,0.7883643634593279,0.8095782068040269,0.7640524563375061,0.810526088346778,0.7005208114869599,0.7138532758676,0.698448584190148,0.7645454785072551,0.7627846506147758,0.720056340956028,0.8695035808057829,0.857897510484923,0.8559888829445091,0.7519759478663092,0.727237571525874,0.759185041589915,0.885208455061024,0.8150657781184749,0.701496701677854,0.7540390801336171,0.9086921535031819,0.797398836893591,0.720895580476055,0.619956560045975,0.9268626960169059,0.925505602823736,0.9495932004322049,0.926064296996758,0.9071882042654191,0.7409652694107959,0.64700018071441,0.740965686284579,0.796438667756908,0.7235561455643872,0.685616758853787,0.7902791784787281,0.778791168935517,0.7759811225288191,0.7714776238927901,0.6935785772972429,0.730826297503509,0.770558097778177,0.733457071351177,0.736820958612327,0.785054056448599,0.763300244131805,0.7134385102173381,0.6856528183430309,0.8586425082016508,0.7015467721844519,0.539812826366921,0.5863280289342969,0.5540301805794189,0.797521677573718,0.632279020819899,0.5926883279544051,0.673168792801451,0.6918964163641079,0.6180078729391271,0.658312042645713,0.536991280245262,0.6561854551876249,0.6011582935870889,0.612239582574765,0.6504786925100849,0.6284573150571501,0.577013488176635,0.567988167540948,0.55179732394215,0.628831247847243,0.457467496261572,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+29,30,cg00001126,0.871687991569182,0.875145127186795,0.73650620160442,0.844676586373481,0.66824013537551,0.6663009470398199,0.833273887892328,0.8573040014722991,0.838115204088087,0.849985872389542,0.7010782724212641,0.9362436840244649,0.883462810364603,0.6920687891581688,0.7421113510181321,0.805158352760917,0.8089364367148709,0.8438394280955279,0.743872893515035,0.9240093800087421,0.797303630911547,0.9123840087007299,0.9665959098196091,0.9536886528686089,0.960878961233741,0.9491080004687449,0.950306562265673,0.9606867244369051,0.942959467210322,0.919804670954153,0.9188365445192249,0.9127690152826999,0.9607647247763191,0.967248462712298,0.881795393915363,0.918589749358995,0.832791805202037,0.7305437088748671,0.8928423498821411,0.8817511109498459,0.913040884575907,0.8530186451760429,0.70960791608942,0.612045082145531,0.8325808888520899,0.741244609015104,0.7265923324770841,0.802546875976381,0.7177439209910279,0.8575478234200171,0.38929756896380896,0.596226529565033,0.386643768819115,0.9083182888327379,0.7117947026256221,0.8029466581808672,0.7068623899835451,0.74649217152328,0.7481833308741359,0.763678151198231,0.884097736711227,0.9470605694538741,0.918960881065209,0.8854669532387092,0.846399367764723,0.9343291368460259,0.566166487018218,0.83570739868256,0.8423295708839141,0.685303149340322,0.844005482019172,0.952714335535225,0.61253179057005,0.91442354208738,0.7833011929979399,0.289242660397523,0.5584335469863559,0.834670760663115,0.5188012317857461,0.243720874194476,0.38502419776391605,0.7262090815680922,0.6311388081885849,0.58475137568916,0.608410311532787,0.22664467143145398,0.646243187171898,0.34541901835123806,0.603545409397152,0.440902671172495,0.34823556525020694,0.6127170089608721,0.6038758923638641,0.202672113095051,0.649094023192205,0.599267534673246,0.203139123341945,0.46357195443592397,0.517007490496044,0.757477023314539,0.286509497030034,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.68514116391816e-14,0.0,0.0,1.5523138330308898e-12,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.6236878487325706e-08,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.62550006577567e-13,0.0,0.0,0.0,3.33066907387547e-16,0.0,0.0
+30,31,cg00001193,0.9395793800898179,0.959863588923223,0.924106894465793,0.9466440836700841,0.9368418807701591,0.940711201539973,0.9555029005759141,0.921320141128317,0.9503559248056479,0.948798662725686,0.9347322635850409,0.9586046874201691,0.9617285564567241,0.942960365781087,0.943538364944407,0.934222079615711,0.9345535330360679,0.936553442269095,0.9250727845661222,0.960766759756655,0.9442985161365,0.958886666324994,0.9378332576153271,0.9424692032465251,0.905734156809623,0.9372406975923,0.9150778385397941,0.9295912432278309,0.959306306455455,0.9313899812292309,0.9353515751967428,0.940190372537856,0.9237909775647171,0.947198184043197,0.9499019663649308,0.939399573101175,0.949086748047815,0.90738712008278,0.9240544060592509,0.904438697152853,0.9308713218930529,0.944382572469289,0.9341883502255429,0.9204942643040408,0.9416171972595749,0.947009693751193,0.942711701267141,0.9253691968594459,0.9376850580178221,0.9142314320450992,0.911448772694598,0.9269399189524791,0.8739507120357959,0.9350732847670229,0.9477108297036609,0.954816206231572,0.933985793590003,0.955686909892082,0.938110909902054,0.6979539149587861,0.8365987771137071,0.8801767931870891,0.8070807165738679,0.7660664903325359,0.7220420665561059,0.899137825802598,0.38933966131572706,0.8405327879377941,0.8596462159142501,0.60925585039674,0.412547073781596,0.682409362509022,0.358039578712584,0.798316998516104,0.9367612302567979,0.201076347936169,0.14466166170633202,0.8077266475657521,0.806416112247884,0.09600593930542899,0.0325865135317067,0.409144864681933,0.198052173305371,0.131268659013321,0.21479833478869603,0.0464010620195876,0.38815108327207604,0.0414849758851485,0.42013280469251496,0.30611177630729397,0.0334093127134393,0.0404434015750473,0.0272979122141792,0.0354734712350298,0.217515890778802,0.524272382565786,0.0325595354115816,0.038776384782202994,0.0463576165407501,0.270650245081483,0.0331926785304398,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+31,32,cg00001224,0.968172035677302,0.980506852492884,0.9619886141695309,0.961632720617544,0.8932900769870241,0.9336382299658801,0.9555046482891659,0.9540347940384309,0.939753771216355,0.9239176214186441,0.912703696010088,0.953663648200742,0.955275084801629,0.937376508234978,0.91014001679929,0.9340467038668699,0.92333952258504,0.92598042233798,0.909266331161554,0.9458985047274059,0.9239997639511651,0.956147772674965,0.976009950527229,0.9715453843341608,0.966199323445226,0.959419352308629,0.969644991822678,0.980415194902772,0.980219574806861,0.960422453685642,0.95863461981399,0.9258239710686591,0.9681400044422841,0.966321183161457,0.9340600819571351,0.9267025861837421,0.9634532616531309,0.8896748529053041,0.919371251868439,0.926542559704472,0.9253018702084671,0.94029962706263,0.882817037288168,0.7832431939537479,0.9437336764690171,0.949591811011287,0.9296020381546151,0.9529143358556791,0.932628149884346,0.941935013931119,0.920769608070199,0.8429989861199251,0.7109148148085709,0.9424426427176501,0.915161103123523,0.9225059444639191,0.8817580210431301,0.922234733851817,0.8960613891729571,0.90719604331322,0.9507318235180451,0.977175132712592,0.9506841209614391,0.9126033694886508,0.942046139787943,0.972211855178048,0.8680222592890509,0.920969126227272,0.914402589244158,0.9057252938830771,0.9373750618956921,0.9577047299721809,0.9437193298100559,0.92794596185925,0.9317504556461379,0.8429773576163689,0.874044465814452,0.9126321863134359,0.6370107162220401,0.8696077563248961,0.901096545454835,0.944592901771558,0.92246855424387,0.888366533626668,0.923325158631288,0.922148562524592,0.9166522368293442,0.8967839537905921,0.9163700789807941,0.898223126234043,0.944014834907946,0.923561872986292,0.9448813917222801,0.943426371042541,0.918107873366529,0.913898382951802,0.8997826524327279,0.843741531287016,0.927967087114626,0.9065932203872951,0.8737873383781619,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.33066907387547e-16,0.0,0.0,6.317169010117141e-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+32,33,cg00001245,0.0203709876694517,0.0148999719662493,0.0198867893790416,0.0204016010607726,0.0191839190135274,0.0209346878164901,0.0225625634503299,0.0222174264197375,0.0191264225124461,0.0214015593843843,0.0233792373074313,0.0208149034394457,0.0122165940900168,0.0207651857783188,0.0209463616501855,0.0177387499696635,0.0189229806410102,0.0206526669436135,0.0232152153746234,0.0166747479590239,0.023291752943177,0.0168836816961292,0.0186562848989845,0.0204291645125152,0.0220289337907972,0.0209875935043663,0.0198095030186998,0.020533043081768003,0.0184757318520153,0.0176320872460719,0.0197252307825155,0.0213590680977232,0.0181130100730114,0.0230861426004335,0.0200246412988909,0.0238795741048118,0.0206900896659589,0.018933199310617,0.0212295561111965,0.0234333559506261,0.0185936348171359,0.0221259354209612,0.0198040386531481,0.017021595394022,0.0194335606140167,0.0165949052291301,0.0177282292364393,0.0176141997740179,0.0227368495929899,0.0201803803492454,0.0277864301861172,0.0194136675116305,0.0201618715208813,0.0176840568966563,0.0188934931657787,0.0221394849546958,0.0195836774595635,0.0193563063586214,0.0187836974173444,0.0263927651408316,0.014752061498326,0.0217550832088847,0.0217734954586546,0.0231720095356034,0.0216131317968032,0.0267193500929339,0.0238430613380019,0.0240182039767656,0.0227279968029235,0.0246314929386355,0.0211847289544055,0.0241890190996932,0.0249959085728929,0.0251789772286624,0.0131830899064249,0.0124822210312503,0.0212567440899864,0.016218235557500002,0.021895045907459998,0.01506495131609,0.0230332095027104,0.0241059857327095,0.0224630714213374,0.0235985337533866,0.0187467612285562,0.0206109076974985,0.0213451254674078,0.0221052481470897,0.0249069346605609,0.0233835873732493,0.0207407948861403,0.0243214463872413,0.0186033401712276,0.0204267436095949,0.0222526885697239,0.0215908059693837,0.0207254745800881,0.0244125798031627,0.0212288863101285,0.0215187043736053,0.0164830909639377,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+33,34,cg00001249,0.9325170857876021,0.9071046508543711,0.9201106267833691,0.907675399816747,0.958366974018638,0.89796846735024,0.917111577470603,0.879587400224718,0.9029622442273091,0.9358677628105551,0.9532866937719859,0.9053076958288979,0.961378778854311,0.925880557820481,0.945230495805997,0.946181620725404,0.9240143694308319,0.937296029608523,0.934725883703917,0.9261695674048409,0.9108596822463721,0.954525392211595,0.911668114695428,0.89237306492425,0.929436561685756,0.887834613764612,0.905703961565354,0.9072292886933591,0.9247906789275849,0.909472188311505,0.9496990198465641,0.9192847539629551,0.947728270040857,0.939626222745187,0.917167191547756,0.9221667033155,0.9296536066721941,0.9645839064912601,0.9578943485469531,0.932266187623897,0.900585436571478,0.944666232419994,0.9593523613119531,0.9668733712456759,0.9542063624224859,0.961082351072098,0.9673895411236709,0.935519318036385,0.936496024018777,0.926518692899918,0.9158952246741179,0.948552102643668,0.9460639578913019,0.8928266888876879,0.972513236547572,0.963675090231615,0.9784864222887101,0.9511488020517421,0.94839150177452,0.9405159433095309,0.958489059997631,0.8986460581221841,0.9472376526905569,0.943939725980494,0.9272686887010841,0.934411107692655,0.910568743516527,0.917985490143861,0.951115840182472,0.942714973929947,0.8856870342810992,0.932238697708385,0.83101496839894,0.8912422757356779,0.9888764472854941,0.943482913642157,0.9112297859531899,0.955673609930048,0.954552526195939,0.9232828280419759,0.875215299585608,0.852136075773312,0.891232739356598,0.9300652031961758,0.930525450108038,0.8677133737265509,0.8941991935924352,0.8784698999098159,0.9189903876535891,0.874872480642232,0.8985626646937929,0.8755863170691159,0.8914974699124519,0.834622705694585,0.886804450557511,0.91861434528796,0.881642623867155,0.9038841191329041,0.815587290182323,0.8960819707995219,0.9068483114719058,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+34,35,cg00001269,0.94304260756072,0.956481486793908,0.923460120394153,0.941169496200493,0.9384292624808629,0.933741540617256,0.9050234877409751,0.937940458583736,0.9391963305218699,0.9489140587858699,0.900972004450631,0.954581346331655,0.974097600674224,0.9178803231112629,0.914889083812143,0.958479190483611,0.9415497549847941,0.964646866047861,0.921795676077303,0.9619898809549059,0.93121164155599,0.9440640083734649,0.915645940390709,0.9103423958946429,0.9181281758574209,0.926220278965787,0.903633356830256,0.922056105750693,0.9113991129943871,0.9554602725833922,0.9149197370656159,0.9569517481827621,0.9301467454317119,0.9057162532811791,0.9353089571494431,0.955842405050695,0.9248260972521409,0.968683935769354,0.9163468031768809,0.944522010254985,0.9017974452783408,0.946412533015649,0.941103607961991,0.9637341695468271,0.959623031086667,0.944987374762827,0.925879140771631,0.9555987794154192,0.9347097882907229,0.9612918938309031,0.934473122308309,0.9629969380045909,0.9518330143888859,0.9367178822574599,0.894493407002055,0.8865453445776741,0.949116865191038,0.9396303479943009,0.904951239217124,0.8464565772295279,0.9249566813518009,0.92812815169354,0.9443843828919729,0.901748716700905,0.8762538860124179,0.8982550952077791,0.80015921374223,0.8901571898958579,0.931389337951542,0.873456311081644,0.8112937350709071,0.890738843008277,0.846459210695629,0.924038837801356,0.94758521714917,0.908098517686186,0.82899531117211,0.9399753195979491,0.925195872390798,0.7020128767583941,0.858217766516587,0.8661334316891619,0.838050956498138,0.900067541857162,0.9045562270766621,0.895345267013202,0.880941586734717,0.820154554326141,0.8523901100958531,0.8694539307495059,0.87698189097011,0.8308678572821809,0.886351615527851,0.8396998235406421,0.901843789532663,0.900922633982819,0.8878233490038,0.9112106583175129,0.8223088794889051,0.882030353612136,0.8932881314508728,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+35,36,cg00001364,0.8454504736634191,0.9351028661952371,0.900814280067499,0.905387810031663,0.8963675449437242,0.928453276708068,0.9461241330632859,0.932803688606448,0.938806820966325,0.923124331340379,0.942037204349508,0.903752633474188,0.914149316186231,0.8400921077850309,0.895027913562847,0.8739983980779129,0.8598120912255051,0.940374154920976,0.8642353624174599,0.908013271415899,0.8954797412220891,0.9755140618462159,0.9628367443585201,0.9772786795966629,0.949569910411868,0.969797262733077,0.973990707747037,0.9744798830687609,0.973571218658572,0.963497514487347,0.9496572463973391,0.945886140802298,0.966658061095445,0.9644259998046351,0.966832269208743,0.9417467132237659,0.9454354096089491,0.936833213218128,0.941182248164511,0.9449678768240029,0.9496601780206371,0.946498246396143,0.807820903437515,0.858880186031373,0.9265597226508481,0.8852297643297359,0.760161960573602,0.847586666366933,0.8992959586543872,0.650154118327521,0.37668231815623404,0.44259601205316706,0.655864204473947,0.8916530010008299,0.813660351295103,0.787137044438652,0.802376743176083,0.850256077902987,0.7475665077102679,0.9337519265194499,0.985546509423175,0.9751755874340479,0.967811137500277,0.9561446765644009,0.9578019665150299,0.9793975586197059,0.958222189169017,0.94579832478165,0.947152579927314,0.943217260551135,0.9617654902263381,0.969800522527996,0.885768748621035,0.961250760058944,0.955633418860795,0.973972152794281,0.94868250171088,0.9768147597445122,0.9375128668705051,0.9551742346526021,0.951613003116737,0.9707504300587149,0.9751564291806201,0.9635455410678381,0.96261974397721,0.9576442661375971,0.95457093391762,0.9765146953884709,0.951852376526551,0.955442611222818,0.974624238157199,0.967538867115348,0.9824378925440072,0.9697274961975559,0.944191443347539,0.9306090119225741,0.9427775891787159,0.956318790068461,0.9599371547445601,0.936534257022152,0.958802054203877,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+36,37,cg00001446,0.931329752419544,0.899914505681639,0.918278965114236,0.916519577812576,0.8999523519003059,0.8863634791297959,0.859502705342052,0.91649433229157,0.92666580331154,0.8871147782834169,0.9344640067737131,0.932395975539032,0.9699694270899231,0.932954848574524,0.9219641017535809,0.9552393339628941,0.89595444663111,0.8972890669242971,0.8844347855817841,0.9249112836977579,0.921191404640352,0.9474717370233171,0.957777785203865,0.9553497268621629,0.928265374667277,0.93662394076655,0.93930654766846,0.9318193116558909,0.9534078307195799,0.949768703919699,0.9321579403510609,0.9416639894075319,0.9527855519139851,0.9266175302986359,0.956698073862491,0.9593572970769649,0.9642374525007701,0.959599644683759,0.964126154314073,0.928568586872769,0.9535467396868029,0.9587670434980409,0.9076735678268071,0.9478670766816629,0.915771766869034,0.8616566802620409,0.929136067682166,0.9055630332080451,0.8902156789319441,0.881135044175229,0.9159375888059159,0.908972041469015,0.938921586655235,0.9221481243693571,0.95910043679956,0.925202721235387,0.9251303494129559,0.9661928511738579,0.9439669687885679,0.945969504761865,0.938650163909939,0.9367641747759821,0.936804160901306,0.95167878080614,0.9459936882611221,0.9452697595265459,0.8928595365950981,0.9308136199026079,0.9521390016614641,0.920531942949542,0.932345266985193,0.9357676440341371,0.9199340814129959,0.937837300415445,0.9735562359219692,0.933196299676958,0.930994482934897,0.9730487106848921,0.9567196763431801,0.9525504328189671,0.906395622355642,0.9273011711564431,0.912252067222522,0.891440385980426,0.890465232537425,0.910055828966006,0.916022596734298,0.9284839130985459,0.9245184401686609,0.946401973217807,0.924706058823067,0.9112893858195551,0.8609235261047609,0.9242069896982651,0.9417148945900279,0.939357837289504,0.9164968002611709,0.910290219478189,0.905380467629604,0.916337963511603,0.919802731400864,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+37,38,cg00001503,0.9847671491611422,0.9937146975235921,0.989517908797763,0.989076679883817,0.9873079734279259,0.9909121580846341,0.984855380563432,0.988119787976386,0.986355113441687,0.983454619176088,0.9855741430213749,0.9880837850547829,0.99360169422592,0.9887122448017048,0.9834082528598019,0.9897054747017309,0.989113181142188,0.98701233276499,0.98348311957369,0.9918350318995508,0.984291055071092,0.9930051588082741,0.9800955108971422,0.9852995415820841,0.9845592588961579,0.987377322386159,0.9886859827231279,0.9901623407294549,0.991294376649293,0.989998429376016,0.9897104007519449,0.983941221264956,0.9896965863242041,0.988246393047148,0.9855618156652349,0.983905739309182,0.991018736824241,0.9869524884965659,0.988249747687728,0.9812355778717908,0.9882266025911209,0.987183458394654,0.987265431671851,0.9847384716716651,0.9809075129302589,0.9914351467965071,0.9852648395058559,0.9938201913139241,0.985589325465547,0.9892536733147029,0.982670222212017,0.9880398258653159,0.975577527383828,0.9887817148178901,0.9785015883056719,0.973603040772693,0.9842583863301991,0.984195851173476,0.9810282212896949,0.9864920383462059,0.9944500816614309,0.9879538788366379,0.989564827227145,0.984426584681496,0.986198063394081,0.9877162175522549,0.985563356936187,0.9824844842449381,0.986538050522668,0.985503405577738,0.983978389353352,0.991946518922472,0.978339802879476,0.984998763869717,0.994677751219624,0.992498227915548,0.9837609906173509,0.9920869520944621,0.9860966358946949,0.990227561225003,0.988001027785971,0.9815016670188901,0.981043831451009,0.985816051921322,0.98179471578853,0.9817027467500911,0.9884577088152801,0.9874955983936569,0.9825461522973921,0.984865854560752,0.9800254932535949,0.9871018548512879,0.985703936470257,0.98470903874318,0.9776178046998539,0.9832741831760059,0.9763981505343199,0.985527864714773,0.9842967561852389,0.9759142214711191,0.980353409928318,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+38,39,cg00001506,0.9496566209281841,0.97689009439602,0.981797614543242,0.9731856969299001,0.980174879181273,0.9482588535354929,0.9607154123963191,0.9629955630834781,0.9662961434525409,0.9715788178875451,0.9760555552887641,0.9763654651917439,0.988791374197939,0.9702236964772659,0.9504210762596801,0.9683745444757691,0.9789726149828271,0.9754190903035408,0.9671873210611841,0.974552175445239,0.9830628942198101,0.9898452736175831,0.971090278999713,0.9799324491079879,0.964065884488289,0.9820351454342142,0.969676431306107,0.9672516857903141,0.9614557381837009,0.963185262019141,0.965952431160411,0.977863697428875,0.9792283242135941,0.9650897991363669,0.9739087618647579,0.9740327054385101,0.970259429942733,0.983354109596331,0.9666923837300129,0.9787687014139649,0.97442762674421,0.986061347662999,0.982388543865668,0.991794109362722,0.9707901752949091,0.9615229407362409,0.981445839933438,0.9831132869914,0.9747907968706429,0.981838310214549,0.9616982871866401,0.9780237507495709,0.9849428054155791,0.9787759087629491,0.962911606317662,0.96755888647688,0.9852541938933129,0.969800036811869,0.97071197310441,0.9736973176869941,0.983861056213289,0.968190614198498,0.9762436140295421,0.9823023484394421,0.962831319257185,0.970663213916527,0.981665898862925,0.9619725786390979,0.9826983655300442,0.980986801633551,0.980634121930133,0.970625602772292,0.9720802084913249,0.9631355639512429,0.986914345525215,0.9915049221850151,0.98354295120152,0.993377293886593,0.9757048734432758,0.9860125695104119,0.966766510075442,0.96940377765746,0.9858395425515141,0.98193721690743,0.9836139957518091,0.974787331087266,0.9720655984573909,0.9748895553900679,0.967631962498645,0.975901156858235,0.96597837811505,0.972460162516419,0.974409445816571,0.970937782264383,0.9765938867600459,0.9779970680107559,0.9746289158743241,0.9808202659800899,0.9739510329808779,0.970200692655942,0.985516198411225,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+39,40,cg00001510,0.469458993648863,0.42138248032078207,0.43834099821297795,0.538590871322843,0.42140104639831105,0.486065560620685,0.5005851405646,0.503753509547999,0.4783657723975279,0.4822737180128329,0.4396052445313211,0.46324998564649894,0.518685322936632,0.43402940758502706,0.4771914482874601,0.501870750610254,0.5120116967994061,0.443238042939498,0.46799109200252204,0.49569166035277,0.486302985211294,0.49869181828292897,0.45317020812985204,0.43114337899048905,0.45430744515202204,0.534374297290968,0.522238410955742,0.562398739097803,0.50721778653716,0.526063565110349,0.519490656084485,0.46007535026537,0.485737147429199,0.5860365793793,0.483608679103026,0.48192835483765295,0.490763320348743,0.475125829437401,0.48563313455925106,0.492691889643494,0.526685297006845,0.5381829538683001,0.507746050796516,0.49387230146134997,0.46999717025594206,0.46959798731563107,0.597197714749125,0.467883232452544,0.454136728130644,0.499524838322286,0.49274129985966,0.49993594300456895,0.5005629766604021,0.443851823115624,0.651409913624441,0.648806647890688,0.6657976430024979,0.646652097605157,0.5841104568525151,0.43681459938547,0.383384894058615,0.4111311392068929,0.513855958291317,0.511756178721971,0.506050234913472,0.544338035241382,0.488369823264244,0.49441700068331207,0.496431013742609,0.48753955777818603,0.4794799556019749,0.54718627796485,0.47185351909621603,0.45700641094354494,0.5237046520559779,0.43353374299754904,0.440870034205159,0.471324053010065,0.49203783731997497,0.45372600781186206,0.386905454454875,0.41801523898807397,0.400133321476921,0.48348855647235706,0.450371775607484,0.46417182040446503,0.477386245616498,0.454324072975159,0.443153087968062,0.45710426531192294,0.43688903604980106,0.415731720551128,0.48268514362382897,0.441867029399314,0.44709775842204297,0.48361671545083396,0.465568538972033,0.447447596845494,0.43836272492701395,0.47655544336174704,0.384455226481379,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+40,41,cg00001520,0.9077104044359741,0.870355240541785,0.8931823381019101,0.868868780574575,0.7057022192469129,0.822885768669713,0.8504523374467191,0.863562481644083,0.858905921270597,0.818892072593164,0.828795260924183,0.889274136349963,0.8921291029991999,0.7928469639298491,0.7201044847304789,0.795117569754032,0.82552322124763,0.808319987190415,0.7800083731666608,0.8590308857153142,0.8327449247504759,0.928023694197166,0.968680420134097,0.9695155327318651,0.948742475975643,0.9649212492399971,0.9454299202902521,0.9651123978603421,0.9765997902928559,0.9697606726246609,0.9267480983037261,0.9070282534835741,0.9291016066502971,0.9572840562534202,0.8941455931513029,0.893600832112115,0.9441856220530179,0.7903540573458929,0.873464792686982,0.8823643633906451,0.854970986269737,0.895381194188457,0.7587684983845051,0.5538415540229189,0.875425429218535,0.8242084219688979,0.798232050904452,0.795578445513717,0.792175221790975,0.8107311769359329,0.7643724691478391,0.624856782660354,0.50885520898544,0.8497149110636399,0.834639984418543,0.8148844218636909,0.814853254463239,0.8333197316048341,0.8212541513397651,0.809507976111458,0.863711141168925,0.964104701042892,0.9074538213982729,0.8595396948806949,0.876303393893149,0.936751262877241,0.725263160300515,0.898330820312158,0.8492653357080121,0.7910682705694929,0.8275798506373722,0.938903191676042,0.872197949789013,0.8764984676259909,0.915695991798683,0.759944062531021,0.796969749312045,0.74280379861463,0.526029355094529,0.691647887509154,0.788878016206138,0.8725277712559201,0.819198088241048,0.8003365149721571,0.788065416727753,0.832286654239624,0.8159872530316991,0.7645461008890021,0.8045303325153871,0.847274685868718,0.886155845604925,0.853365595337706,0.8543859928606641,0.8668617261306991,0.851556448995391,0.8672559172732979,0.802805184117669,0.7399826527611071,0.8180692475088241,0.8540904189900009,0.8160835187752259,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.22044604925031e-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.99840144432528e-15,0.0,0.0,1.89697146879553e-11,7.578382366091321e-13,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.691147635962121e-11,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.44089209850063e-16,0.0,0.0,0.0,0.0,0.0,0.0
+41,42,cg00001534,0.937867392712394,0.974411755088801,0.9477353032995509,0.9641394218851399,0.959833328757,0.8935297976996879,0.969031811246966,0.9504836813130151,0.9636080863788199,0.934690714289551,0.9242892550096591,0.9781761181016658,0.988942998456578,0.962403452418452,0.9591575769430619,0.9629429308830351,0.974737212242104,0.9649319800448659,0.940928957439589,0.981094681668873,0.94988573483109,0.994773601064713,0.988613014849344,0.9926176400470971,0.9870140992253041,0.986174360974752,0.989638542984965,0.9887976681431959,0.9925216860718821,0.988220261373553,0.987405537101055,0.9905613634039692,0.986844829013442,0.985691279007071,0.983875906858698,0.985434067908337,0.988961028843403,0.980933692825803,0.984594467817087,0.987167335466979,0.982739198392085,0.983838602267261,0.9800151695617859,0.974727681654188,0.970812171502498,0.9560274194299209,0.9779872658880531,0.9569729471115291,0.9114213076805991,0.9684876827933019,0.9651538943254,0.9813555589548729,0.9591855330533839,0.9728391412218199,0.9827101586413031,0.967310113608912,0.973201103582523,0.9756132174069159,0.9766411731096759,0.9852924107981221,0.9939674266402109,0.987961967528646,0.986611019653521,0.9880531713860479,0.984844202036587,0.986962688044813,0.9807824585325431,0.9826309232232471,0.985302023983205,0.980368633117846,0.9829168136435029,0.9904203251403829,0.9804339476391519,0.9824758637489308,0.9908718879629042,0.9882706394452819,0.977111770678591,0.9916285820226299,0.9736251876462699,0.9871951670974399,0.9842225018569329,0.984356201852272,0.9845468492584258,0.989775209739114,0.9820091395031451,0.9855902655693659,0.985394963573408,0.9826439500572479,0.9789920334105501,0.9773012473914381,0.987198773560307,0.9869892178763141,0.982667189432621,0.9796363092246241,0.981544452087688,0.98680696170126,0.980170325944646,0.9803591069209922,0.985376840478975,0.9828831034077421,0.9796007933347329,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+42,43,cg00001582,0.0295436482348452,0.0243413271691947,0.015510235310723,0.0179881830940032,0.0183007627746832,0.0196613774682601,0.0143700509214248,0.018897233875975,0.0230242819834794,0.0183342008112826,0.0303679587951495,0.0216477306411484,0.0134407229258202,0.0182598102300431,0.0302557150262011,0.0266834104020879,0.0208961146765963,0.0279456752569366,0.0343957912690642,0.0260108841507519,0.016814271928534998,0.0152110263177714,0.0224864586910703,0.0134922233640566,0.0175634450504426,0.0286533451831155,0.0243174749043485,0.0255881383868358,0.0120683144175856,0.0265773742576719,0.0188818917305313,0.0219612021288632,0.0147888072758446,0.0205559972782211,0.018783922593209,0.0352865102719312,0.0101028705081657,0.0252954993357078,0.0205931043522185,0.0210665746810409,0.0212860833924685,0.0229681673920192,0.0214272166841508,0.0178910477936335,0.0135998608134488,0.0147052283940518,0.0201649009861556,0.0212714448628175,0.0218438226330496,0.0230676615267429,0.0223106763292127,0.0304334964695656,0.0299762031324355,0.0203760738933085,0.029205910167647006,0.0237171686522952,0.0143681908927066,0.0230944277714544,0.0286557067755061,0.0169929610137372,0.0105462256511582,0.0101956393227037,0.0145870535348902,0.0220141989820586,0.0218515279239847,0.0165149131071936,0.0286109452604887,0.0234720231044674,0.0231580898370828,0.0248207929286537,0.0152725130735402,0.0123791125195337,0.0175601154327467,0.0269732732672472,0.0105296852016271,0.0137067731036199,0.0106147113373428,0.0094697470317442,0.0293363430182029,0.00824357251397057,0.0223590036609529,0.025132669104530003,0.0181609652628187,0.018587197530266,0.0162276860347933,0.0247461237727296,0.0209592467296812,0.027820305909832994,0.0211451849648839,0.0151877220980969,0.0158693983772063,0.0183685590646028,0.0113913455169575,0.0192850496855274,0.0323465272763601,0.0318210516158886,0.0177259236648933,0.0187533646959416,0.0346406702333385,0.0141153243925706,0.0150178316575793,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+43,44,cg00001583,0.0389477013643371,0.0212332771681074,0.0319675067028008,0.0385035140835658,0.0310516085718357,0.0309112813106855,0.065219928853037,0.0300249635412684,0.0203514875336093,0.0278813755203551,0.0219402799571285,0.0317846155521625,0.0133481280678103,0.0282979927941819,0.029570892696154,0.0350667995443605,0.0331940497729561,0.018617077849565,0.0421203998245108,0.0187986218977502,0.0228862676861564,0.0377044689132673,0.031690813655776,0.0373198620688529,0.0467178398792581,0.0409098818708209,0.0477806575350392,0.0479129584396174,0.0226889468721841,0.0280020730793651,0.0378341341265306,0.0291628126894755,0.0274233185911999,0.0527465418517075,0.0327249024473587,0.0339055243308353,0.0408807215370522,0.0415887985173231,0.0268466993778943,0.0341261386941828,0.0309774036248694,0.029397898293351002,0.0366872961321819,0.0270764306763816,0.033238109510221,0.0213950283024178,0.019827039478334,0.0333451468977793,0.0288352632571093,0.0305712392418673,0.029411312492333,0.0252783235514652,0.0292025566706039,0.0285600429812384,0.0195112138306053,0.0257385396830748,0.0206426114696199,0.0223867755000714,0.0252400895599303,0.0674153396796919,0.0191060722276742,0.0366968521951891,0.10853350630768399,0.0379741027145715,0.0614545353718639,0.0635554345092327,0.0502711699681659,0.0322553250420287,0.0473143226733755,0.0296275194844928,0.0427447752736985,0.0493694745397951,0.0681523018515065,0.0353608424593768,0.0264940227835357,0.042425073020232996,0.0269964032501852,0.0218796096579916,0.0295922381442867,0.0186199746874143,0.15708327592129198,0.0965957003624024,0.0605434628523005,0.11342741912485499,0.0642079929292794,0.0921088658260605,0.0919845118432621,0.109078060756715,0.0257938341878324,0.058032162671408004,0.0390592653892314,0.0659512640055748,0.0335163515951543,0.0719020825286146,0.06109984838881401,0.0652590433594283,0.137471538058474,0.0304798084082675,0.0786814159729313,0.0327348090688608,0.0223686232030217,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+44,45,cg00001593,0.9826873738751009,0.9858767166280809,0.9788049968697371,0.9764817099214391,0.964435252814499,0.9765936337971771,0.9763699362735151,0.9816361878976941,0.9778603551769871,0.9709379254907259,0.971618791154259,0.9782167944726109,0.9816721589260309,0.9735166494701158,0.9676119210978109,0.9763747798226992,0.9652008072112951,0.9596231962261179,0.9719881695629651,0.9871338778120821,0.9600524983149141,0.9677933207406,0.97163662318056,0.981234720001228,0.969974343243489,0.9830451643646221,0.980518512023772,0.9831682109116641,0.9880960949049109,0.982771271430158,0.979388677242261,0.9635024497608801,0.978402401759006,0.9813041313603309,0.971657682114812,0.970937572375548,0.970295905857985,0.9455976716861451,0.974309931455306,0.968777167007942,0.973960616772447,0.9739233755315759,0.9376195411336109,0.96930815743598,0.97868736971222,0.982175433816835,0.9413905538413492,0.970808816988518,0.9623030135876021,0.973579276976298,0.971559704207058,0.9542039927682909,0.8963994918994941,0.9774243956711759,0.933469931798483,0.947802722629247,0.9207292910842809,0.96303209793152,0.942787411633942,0.974051072583564,0.9719389656922321,0.991780899471184,0.9837531688307808,0.9809056973658392,0.980411402469729,0.9805542814535301,0.9789452447309961,0.978866391177063,0.971809797802332,0.9702512410736228,0.977054401804295,0.987123926432357,0.9788451236892441,0.9823886003918729,0.976538951987016,0.963034468439696,0.9526309912627029,0.982188095070616,0.9371098241647801,0.971056223190908,0.9695496931001891,0.983175070091081,0.9863182891775151,0.9764385453860129,0.9600645389774141,0.9825561461904999,0.9768157373565041,0.977026686314787,0.9774201526082329,0.9777858393972341,0.9708405683787,0.9736898848316179,0.9810870651587759,0.9840386555434029,0.963268120639703,0.975765174114808,0.96613947822989,0.9621607816812009,0.978187618401198,0.969864446816196,0.9673302652693822,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+45,46,cg00001594,0.0395177779608124,0.0266957485692876,0.0293345526670983,0.0351262285885344,0.0273372782593412,0.0348387439140198,0.0355160317152867,0.0309633058550766,0.0326731074038242,0.0371837987486014,0.0364091518920762,0.0325654981009496,0.0240076075841865,0.0413505322998593,0.0327586029085175,0.0286949513383353,0.0301423630326038,0.0295967294467006,0.0330123754917849,0.027291114380924,0.0320895730691267,0.0281899493923555,0.0332143699204075,0.0270187016679161,0.0379527743299408,0.0368767638536743,0.0322625042629831,0.0309293745781118,0.0301047117963654,0.0327064741984065,0.0361625298387819,0.0314679183486242,0.0387209506868011,0.0336378571141829,0.0339328057448324,0.0420108900077101,0.0311254969296044,0.0276051509705387,0.0355329695950033,0.0328840273578504,0.0282752785270441,0.026579542751407996,0.0330795719254042,0.0249891855246908,0.0338783797745944,0.0310729407469996,0.0293547927619001,0.0351861144563837,0.0378535249960692,0.0290675576542131,0.0407706240259306,0.0289958296487145,0.0341276472413593,0.0326390616341005,0.0291511379567005,0.0325593567633369,0.0348995488271144,0.0303777392899496,0.027865128357429998,0.0362185490493798,0.0298852267191248,0.034594456443778995,0.0390442177971977,0.0359198458872483,0.0316314084474435,0.0479992835069172,0.0453050162094488,0.0397890241347028,0.0383935128008464,0.0401691948490708,0.0423873814451255,0.042730116198834,0.0413822840294865,0.0349312279117213,0.0231956701861668,0.0298062266886119,0.0408099832599852,0.0218386936332598,0.0275249928621205,0.0278930917020408,0.0322933130092482,0.0315484219204928,0.0344214976861754,0.0348659645796104,0.0373974186977552,0.0321054435411123,0.0381156220407501,0.0333699132906878,0.0431515724961822,0.0467942860985414,0.0320971784595759,0.040170931617464,0.0291741843004837,0.0307489574628128,0.0394702931816221,0.03763886272528799,0.034418064118462,0.0356296493574493,0.0302025426281114,0.0383284158591623,0.0234988367800296,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+46,47,cg00001610,0.347415522339802,0.38983364526723296,0.282248494165662,0.400460388946335,0.312579618149432,0.160543253319258,0.36502184445223895,0.48609585974376,0.44692367476137496,0.5134545620992971,0.267323778377132,0.561600102854531,0.362617445292874,0.310999352943261,0.31031107400520197,0.461966240158154,0.274759164166947,0.510515240613109,0.250955265660117,0.539273163072695,0.462853965275568,0.9858708093998779,0.9687387986986329,0.971869191967119,0.9657819216613049,0.9834756317631329,0.963997611056216,0.981108167463628,0.979916876933375,0.972828555248331,0.9834026884594891,0.977025379045851,0.979021351472396,0.974612852932138,0.975632088848817,0.9738553558723622,0.965760768944744,0.9741671119870551,0.98286169523375,0.9765182078424001,0.9717964832443349,0.971070773962409,0.5501720081093701,0.398880509401537,0.39431341654349394,0.191549446693004,0.6386343655646199,0.255164948681331,0.268947103089935,0.349484874462216,0.12395636703755901,0.15330398537010598,0.189770431931811,0.5803063058441489,0.646311436117973,0.776854066747545,0.853225992031797,0.592177854310679,0.693016313592438,0.6824697184383001,0.872430724628277,0.890490723135995,0.8267075577477141,0.8289083802944949,0.729274057784326,0.87091809223153,0.40983786251722204,0.845392873545858,0.953857004561853,0.630260595341315,0.4535126504344171,0.7055918486003872,0.39978705289755107,0.8252929040783911,0.9646383408754491,0.189155031538702,0.370702905632299,0.81772455802683,0.9349245709554209,0.278776927210447,0.0516862225385475,0.39799016885672295,0.323786449090014,0.220326268989112,0.22005793587581102,0.0852663380943434,0.452662533498618,0.0674605755411429,0.392694045412198,0.368885684453536,0.0743951134726515,0.0412852731832425,0.0331900051824148,0.0940158990303706,0.30101832427359904,0.533195758004845,0.0264377387016191,0.162480512084206,0.12490560558146499,0.410564853757125,0.0323577682219193,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+47,48,cg00001636,0.901365355548435,0.915329409590182,0.8282823659890509,0.917852485376447,0.93278910750684,0.869291773555727,0.766636108782479,0.840701528802138,0.8031628874067509,0.8537104659784742,0.8172204551772021,0.864176349506942,0.849495188737984,0.9243967603599691,0.809009878291146,0.8807792606705809,0.918136796618136,0.84031197497503,0.799966310060314,0.8406477366590358,0.820937238023761,0.954062775192533,0.8886020778323871,0.9044054849314721,0.9558454821018622,0.9666051270631641,0.9158465091710519,0.901573575373345,0.921335321145602,0.9092856067519369,0.918592790221443,0.930341781801792,0.9179035226913829,0.844202812039129,0.9417636722284609,0.8569651752769409,0.9431175895602679,0.956347494300385,0.935596121370665,0.9118379916238589,0.922003393176896,0.956860090576635,0.966344793910394,0.9345678250810879,0.919013615936035,0.94638956813123,0.9686793043786941,0.872903847323462,0.861828170650334,0.821443227853785,0.9433498496735809,0.959187718394253,0.9066520290549142,0.8371388047087759,0.9739198534230781,0.9690160698677571,0.973280880998638,0.9759511112606161,0.9754741318327091,0.959361242384357,0.9236077758509108,0.914959372810358,0.9352298027088821,0.957464288063532,0.939342712685186,0.90322050457403,0.9527299905402831,0.9466213988954499,0.9456602541778759,0.9294549367370649,0.93091900605031,0.901350724419298,0.921841989826571,0.9320939693568531,0.960514252281123,0.96543345648842,0.9299003423013359,0.9696271863423329,0.94916152778286,0.962361482230338,0.9641757704427241,0.958970139435472,0.975916572622907,0.961851497058173,0.9562458066614009,0.964533544342068,0.953924730829335,0.981650024828485,0.9629916175824059,0.947127303785591,0.9724474471803829,0.966605361680032,0.9790733154196981,0.971496268440488,0.955757022265757,0.959673790093884,0.9706795424348441,0.9582780943730409,0.973487932161275,0.9656733802988628,0.967926186600283,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+48,49,cg00001687,0.942724195763852,0.9874766483143771,0.969126232868305,0.939882016963059,0.9647990890181289,0.9829017870487541,0.951749975057733,0.971229069372385,0.8370638214067749,0.900014466661165,0.971844911724427,0.8960857781539381,0.8915398928789592,0.972431430418362,0.9789792806159979,0.8470472697930319,0.9384570801794571,0.809435259401491,0.9721990167228091,0.868573020046397,0.922680888060896,0.9873770511042289,0.986408164614714,0.9855156506654699,0.9854926425915891,0.982095041374755,0.9856193766868399,0.9856652665606719,0.987954223058629,0.9865157082595329,0.985529031851095,0.9845384545347691,0.9852876677166079,0.985712577785451,0.9834779796654279,0.9817424398047979,0.9861472585236859,0.9821249054440441,0.981345727217645,0.9801850061224079,0.9829672505664259,0.982854084124667,0.7400112143110509,0.952326461697813,0.9618245673382411,0.9750959617711792,0.591702326174385,0.9842006467342951,0.974970747664437,0.9099031279963701,0.550589899239822,0.5774442432031579,0.8250555505181719,0.9792508548270491,0.19645516288835801,0.44173362638421404,0.284872703397603,0.44801495066967895,0.502411622374329,0.979825197761774,0.987726684787432,0.985477220878995,0.98325837533115,0.982510292733825,0.9841140468053959,0.9861767929871109,0.982193306949513,0.97950339935718,0.978894262569964,0.980297771101776,0.984860829497388,0.984132647603038,0.9810984601129359,0.9818771468037741,0.987783028073725,0.988467160825925,0.9807294087008159,0.988542328784657,0.9814270984435071,0.9886826049546391,0.9811996268988729,0.983948464619365,0.981700632428654,0.9801886628644828,0.9823024929835209,0.9829656100492191,0.983778117094496,0.9841651798599409,0.9810226486891949,0.9799844434439839,0.9868125743031629,0.9847338770236741,0.9858314453718391,0.9838387066223359,0.977635275420971,0.982106829992808,0.977596878266394,0.980714600039206,0.9819820541312281,0.980023501215727,0.9827040683663539,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+49,50,cg00001747,0.0214134055167825,0.0164220028872889,0.0248151487721177,0.0173261683252148,0.0207677131768081,0.0232111194301921,0.0226875985630465,0.0302274964371576,0.0184107764991776,0.0268095317332927,0.024245726256598002,0.0271277870047176,0.0112191674873833,0.0188706288854935,0.0214982661139125,0.0174190858215452,0.020117950645218003,0.018996592683117,0.0287080136969492,0.019611073457317,0.0209934383590513,0.0224695063075873,0.0229614232674494,0.0345217697474848,0.0446139422401286,0.0338768385535691,0.0372151320677605,0.0345298263880384,0.0218422747712114,0.0259974160911394,0.0315167501209142,0.0305348072481272,0.0291262985533655,0.0279989930845218,0.0238704409773919,0.0285252065570674,0.0292951439192268,0.0210828484752926,0.044868076454211,0.0288881131964161,0.0363654033756097,0.0251467493204381,0.0205320647797071,0.018588071173979998,0.0208645455359344,0.0175762678082997,0.0152386787880192,0.0228024553648472,0.0257740871973109,0.0180133342446432,0.0211723610211156,0.0197870493940353,0.0197184920041303,0.017679380068683,0.0172191763070371,0.0241394741175514,0.0206885513943371,0.0214748212472297,0.0192940651911047,0.0273638045419712,0.0216080125510909,0.0222546644324289,0.0251991593088106,0.0255877704733372,0.042307850423445,0.0450440869128513,0.0328968728713485,0.0298040258748982,0.0340359634763833,0.0271527872624319,0.0295602270679365,0.0329905401284686,0.0406013175621742,0.0261128638201775,0.0168986631536466,0.0167321894550352,0.0209842148182273,0.0163955035938181,0.0196631398589784,0.0157099391774044,0.0362435587110462,0.0343268420937124,0.0256158637475252,0.0333107042423808,0.0279843739974492,0.0231524015389881,0.0382466986765966,0.028866422739737,0.0238753467232742,0.0295934577331889,0.0306757801950058,0.0352359901073821,0.0317753629310556,0.0247490549243831,0.0316900186242114,0.0328128582059702,0.0398169597960368,0.0234358300452269,0.0254262579882275,0.0208614109029665,0.0148652789382307,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+50,51,cg00001755,0.9874989585106899,0.991829143296587,0.988275360518299,0.9810248905747511,0.9782685420434,0.9830904915013771,0.977565042232136,0.99191913365516,0.9838683308414531,0.983291762311336,0.9813104520282858,0.988973303587167,0.9903559631883749,0.985210278938109,0.9758976865078629,0.983018895267182,0.9841860416004821,0.9835649978802741,0.977442505983983,0.9853610973519219,0.9838408577628571,0.9868701696193141,0.9900390292587009,0.9908489015354242,0.9893633377453299,0.992744963938614,0.9897594292723,0.9892283979591079,0.9940809904493241,0.988650402419602,0.98298171942593,0.9833207876144251,0.9903978826350149,0.9867458677484431,0.979545469335417,0.9824545011275742,0.984566885067313,0.978194165252818,0.97409359468579,0.980917795288585,0.982774594529033,0.9832947259561551,0.9757167634627459,0.976734362982463,0.982807666930148,0.984561829452014,0.9762775346368221,0.981593314986788,0.981320473290735,0.986764229658453,0.9640322154971601,0.9616647763081971,0.960367679402556,0.979348277053477,0.973091038152591,0.9743373838584991,0.971011926743234,0.9771856193085359,0.9771033959894719,0.9790772282543639,0.990052232455149,0.990723129073072,0.98863883852166,0.983765147432007,0.9849756641691241,0.9812749059337571,0.976063668067898,0.9717048265791991,0.9804985692046351,0.9759947536520172,0.976796641915773,0.9877243188376559,0.9719257595180351,0.982929497485225,0.9857017927158991,0.9839410733861791,0.9694550496479541,0.9892489592313001,0.959144644492813,0.9867276333697891,0.980892128619238,0.977983243766733,0.9790219711969741,0.982396068880854,0.9626786002562522,0.9845971700781959,0.9799368671267858,0.9715049552358629,0.972408617894355,0.977244528749592,0.975810018164354,0.9709293499431351,0.9664573446414321,0.9538770259731201,0.966614029991212,0.9745989153593471,0.9502432533728928,0.9737107353002851,0.9763093722088242,0.972911647512335,0.9729638590966959,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+51,52,cg00001784,0.980377647421702,0.987250119037413,0.9776260981574442,0.983116246474194,0.9678027726063899,0.9659595642384391,0.956054153643245,0.9798755824682259,0.9710087772699749,0.973809088619038,0.959530756678623,0.972059739158688,0.9791254965169209,0.975283799405414,0.9727604825786379,0.9726557171270621,0.967900029325242,0.9762537007331049,0.964076895256743,0.972703382879956,0.964574342674534,0.986884455647315,0.9839863169794799,0.985417818995085,0.981128757413778,0.985822590098313,0.982074241425467,0.9785471580869091,0.9861521856189929,0.983075676540811,0.972372557166995,0.978050091509203,0.984118258814636,0.975686821370402,0.971619650736895,0.9801220388821751,0.9774564345492159,0.957956634362721,0.9689718743261411,0.971229510711887,0.978207208722263,0.9706680180370779,0.969577874039438,0.979577518598117,0.967699160739798,0.9784849876438029,0.971856769446242,0.963636385028318,0.9728501759167841,0.9677891167834342,0.961588530646938,0.931081498329748,0.9304685480692471,0.971138996801918,0.9701898024000479,0.972407191384621,0.9676081646489059,0.9667849412975809,0.963742049937657,0.8644888696634979,0.959080742383803,0.9496482416172192,0.944141906707002,0.887622754488841,0.9100895571269659,0.942734002714934,0.6285751432845121,0.8985330772679879,0.953784856343953,0.808200917458398,0.72181620941896,0.8126388022585408,0.549667079850595,0.9092658856850592,0.9856558496826949,0.5798172805653741,0.636733121543167,0.937639685316086,0.9270762200027829,0.456145641438323,0.0843177373154784,0.527018579321082,0.362072282067663,0.38697689828851095,0.355303809844625,0.39542678728050606,0.5332768338925901,0.370975039345483,0.511372044144481,0.5834906002959871,0.40781213470931604,0.40635841731336697,0.13622481546002,0.262894759103093,0.49066985154886106,0.7316278427936072,0.211556297258263,0.317230403803028,0.371858986631058,0.572540903282468,0.0652328449073729,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+52,53,cg00001791,0.9863991105473779,0.9849276022659109,0.968793408997308,0.982102205392116,0.978233302289283,0.982099335193923,0.9784298609004491,0.960942090910882,0.9699332950984358,0.9683346644190072,0.9786049133208309,0.962340506470225,0.977543695936825,0.984365006460359,0.981573997766353,0.987652087867432,0.9742426140725401,0.9793039729640309,0.973598993123841,0.985351365893792,0.9808746941861031,0.9864692654738609,0.951657929473701,0.966961738263271,0.9804098131301451,0.979818291274183,0.9658616530518229,0.9700070161233572,0.972633036920783,0.988235080154364,0.9732629460458341,0.9795340278939979,0.959732013871582,0.971904899837832,0.9788918251049209,0.963593699583116,0.9825274386096591,0.9784040990098929,0.971453832138893,0.976638130043845,0.975724021796612,0.97024213191432,0.9803417176090641,0.993198266595064,0.9811496121075949,0.9811720470866351,0.9817808801482591,0.978612523383097,0.978428558962843,0.97755779462696,0.9834398345937571,0.981624044406866,0.9819838129956949,0.969343567979855,0.974545888230998,0.9763977759498629,0.97974887697198,0.9741125644591659,0.9839848835494409,0.976264851898857,0.9899385196693191,0.961730230949323,0.9816928530274449,0.982434756577185,0.972879747698597,0.98180700822219,0.979791866126196,0.9695426472049481,0.9787002243203391,0.9773830932605809,0.965887066969168,0.9774666215092459,0.959321941691859,0.975158613230947,0.991302705102141,0.9917212936216571,0.9715831515268258,0.991112699531002,0.9715828553208621,0.9774227847981272,0.968205515579562,0.971064195419749,0.9550341384673491,0.975940602896345,0.9672247478760229,0.968597315401896,0.974338264319978,0.9465532447012441,0.9726439147059409,0.9651149109036191,0.9677692614505509,0.9632430864214692,0.9760979751624641,0.9553891270352879,0.9606098308395771,0.98655642533732,0.9729497851769922,0.971553001858467,0.953985592147634,0.973420948331435,0.975819978515368,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+53,54,cg00001793,0.9137141004573309,0.931313303056899,0.9157775029706571,0.9041544741141491,0.849935577591022,0.901323045321985,0.902166965245245,0.861827668575047,0.775976306997936,0.775110949227478,0.854491277193981,0.838337973013918,0.7421610624848671,0.885142131151631,0.8901902475590471,0.843152532117491,0.8990001698517321,0.7287423071756999,0.90769000402425,0.8022919904459609,0.8233110845057671,0.7727449801247058,0.763625232770607,0.8201840922248979,0.834239346013231,0.753485158788362,0.7827525986165491,0.727249377238972,0.8325346445400842,0.768650269576548,0.8033148425227129,0.7627217803668709,0.731629326992215,0.784358783086447,0.644625824990968,0.690703017769609,0.728235576740513,0.448667507657807,0.714741781040256,0.722869194396884,0.7751919653715359,0.7036289438105551,0.8433347867035059,0.8562878897919209,0.892727580406464,0.8826420536069509,0.7834808502764921,0.81716915734491,0.8884455681684771,0.8791841559344269,0.8426002100797478,0.828719140156954,0.8271087549891389,0.71350504881216,0.7268600387674979,0.7645587396414879,0.6848552883934711,0.824023598377105,0.8129723598451459,0.8103067366914201,0.832288342941345,0.7924703225611891,0.8726496436886071,0.726550569822363,0.786203085208396,0.7671072689314391,0.844932850620179,0.742450992809222,0.610267936146225,0.804219915314409,0.8815767664781129,0.8459356586521679,0.852174069243132,0.801661266151893,0.6488037749253621,0.713075560995951,0.853703025915032,0.75191823169236,0.8138907248149059,0.6976636966012819,0.921276813032708,0.933072385451135,0.938120306096055,0.914172197366293,0.9161279037210721,0.9146799966453009,0.882450248839111,0.92841994835549,0.8307034418770041,0.874615647547402,0.933679021828723,0.938937705255125,0.948239982537273,0.933272967764284,0.8695190944045059,0.835239963958313,0.9055274896136261,0.8949223299076501,0.9031396574291959,0.8358416934458291,0.7854409412543499,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.772360450213451e-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.23074900165921e-14,0.0,0.0
+54,55,cg00001801,0.927485028585783,0.9247209231880631,0.901172554778221,0.9580889145706301,0.93620519311188,0.942968960247605,0.899349589845499,0.844882029085886,0.8222005031999509,0.8395708286773209,0.875250539152144,0.8064018876490191,0.829488444648764,0.9142333135731191,0.9477967157070029,0.847877221877376,0.9255983209533221,0.8318038929146101,0.921468120768235,0.8710780102666071,0.844219598149172,0.0464026187014027,0.11714909297287701,0.134469716894397,0.0815543341455388,0.0768671582938648,0.145587778180999,0.0791730746191188,0.10546115600564598,0.0918770673467179,0.151345733718504,0.10400543613000501,0.16427482146073497,0.133055405819246,0.0500642797930752,0.0797393803823918,0.145989375889776,0.0882399016777902,0.13929133802662197,0.0838422542728691,0.24807734392433498,0.11533801800202399,0.850865149830626,0.9548101223383342,0.8096546724474691,0.954150677336441,0.812966807135584,0.958904592012941,0.945950850290852,0.863173892502773,0.909498217833,0.865939045902313,0.8965719351874609,0.9079315175085101,0.33464608020390696,0.622373730128838,0.61605782053102,0.598918085201934,0.6586669723127541,0.45142914499940096,0.291332108339888,0.204040994447488,0.37784006597390296,0.287929594464997,0.35744416111940996,0.22566474541242,0.599987736713284,0.31244007946290603,0.202077268171734,0.5445463490881329,0.620640760696162,0.394178490998389,0.578930378787765,0.28315761708705,0.0912306011093327,0.810708106954937,0.799505199462903,0.15815238413557098,0.25083152043182,0.8829819177201609,0.920334656843097,0.695493377241797,0.7690029752808342,0.827770120995254,0.818794543836318,0.790905979538054,0.6714976915705679,0.8595546953634929,0.664656579857845,0.752479470400258,0.8043656405316341,0.8030504519805559,0.79902274189805,0.766201184425692,0.732413262355857,0.506710427247519,0.8541792385132091,0.8523281762737851,0.8005196412682021,0.698857566437354,0.8822192996420899,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+55,56,cg00001809,0.8800727537199821,0.894702352454354,0.8921055563949141,0.8947361458267289,0.862296208946297,0.8635187765866941,0.9088774566150509,0.860146696711109,0.8463995033953879,0.8685373132470671,0.867242658675932,0.8556553841708571,0.884393804180559,0.8894024950463492,0.8661862431544479,0.8886770841806608,0.8738924638347009,0.803279340487933,0.879400758870154,0.8601720944203409,0.8461398233921379,0.906153611499762,0.88974946772204,0.8674641692031941,0.839766437041408,0.8915207723436379,0.8760532616887919,0.907005673306486,0.9041063651771709,0.881723767105155,0.8894352121619581,0.8859650071764978,0.856097214137389,0.904675702039659,0.9010652472424409,0.8564184590872909,0.889034310722807,0.8371549175277572,0.856691127209021,0.874119802428704,0.8208593670898471,0.874674724932553,0.9235043745200809,0.8971575567364279,0.87500531388224,0.925671909509272,0.908504637320881,0.920276747209419,0.9085205854105001,0.839496945401807,0.9098703953466151,0.9089287437222371,0.880251629246842,0.8535195082910509,0.8957796001365341,0.937999976626321,0.946721435238914,0.959341820615904,0.91891217134293,0.8460264517052729,0.90686622205847,0.9099151350211508,0.886636650377803,0.8724310593222361,0.8560824035377959,0.9039214454894559,0.856410070250216,0.8982760233816279,0.88724328612647,0.8566159230778331,0.864944583248521,0.893981605812739,0.845994371668587,0.866540029985131,0.940855851638007,0.8271285178101899,0.8755271881990621,0.8743570912733921,0.8856827455628241,0.8675710856841808,0.84941835225333,0.8473882196932149,0.873017095193667,0.872508204470122,0.8411229235475992,0.856638253496512,0.8769906492912249,0.853888870862974,0.857686256626448,0.859542709902523,0.8890782955469481,0.88022637598606,0.873990377876357,0.8386741643681859,0.8625094682480459,0.830951935650239,0.8293564519659731,0.827475832911549,0.837619750343148,0.8429293932785429,0.901427961989141,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+56,57,cg00001810,0.897266762005733,0.942016491883336,0.946319807349707,0.9180155223237351,0.850528158596672,0.894445502487226,0.8880453206641958,0.9235975574529509,0.816691830861833,0.8276823770201641,0.839526449406243,0.907631995733169,0.6892916303822709,0.890240204932039,0.8693030729702109,0.748632034389741,0.8593903015464901,0.7009702033981329,0.863883738769172,0.8841433147412421,0.812126185201527,0.9036306128947841,0.91847675524516,0.856005679056562,0.857007738834323,0.871696608918483,0.860123620043215,0.874461240108136,0.869419552499862,0.824923170387543,0.9002951234287859,0.847701391092198,0.822055907667431,0.832925926530205,0.8306975517603341,0.83770122601813,0.8300089654513249,0.7612791089863851,0.7518087909327459,0.8486493569571499,0.886036327077004,0.799632613954798,0.7254304786796669,0.77820888311171,0.8848101361284929,0.8765711038683119,0.635398393225352,0.8197836957608241,0.838886928527793,0.8336615803425601,0.779248058850452,0.816799660327726,0.623151040392501,0.8805431799426461,0.15852120470003198,0.47738988909519503,0.362956978627135,0.294746414847665,0.519012983468331,0.856648573023985,0.8531759241575171,0.8655619957338481,0.8445623829632058,0.6990265660292211,0.854803829472519,0.881611568064207,0.759875521799841,0.7760992996294929,0.8062098433024221,0.7485709759251,0.8360789463097571,0.842379427942103,0.77998055063844,0.829414155091772,0.7807507506961259,0.6129633571104429,0.7884881282564141,0.8180150014276529,0.616538352719875,0.785527149492391,0.8852253649367,0.8778015667482241,0.85538641858748,0.8760311329565121,0.838052834988723,0.883581015022978,0.873223248016047,0.8731098948252359,0.802709409918744,0.8326474232191221,0.932279514233731,0.843041476208683,0.947687628985562,0.89034128025796,0.8322182563149441,0.8144975298316629,0.8372838616529259,0.8115694740211579,0.889933332017261,0.8355711917827041,0.7665040603733221,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.772360450213451e-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+57,58,cg00001814,0.44696126785064705,0.508869757917626,0.484956577746894,0.47459031082556,0.475967900641049,0.35362253072332,0.47923287829106204,0.415714134108698,0.46325277138968296,0.507858585245396,0.46054363952801003,0.449180212593531,0.381485977339644,0.494084437207335,0.480384554330933,0.42628693015269004,0.4554579761972321,0.475806381633703,0.40950327303508605,0.52979577628939,0.49565612106543494,0.0410094648946754,0.0925898441962089,0.160948266219156,0.122500916237554,0.0955670195142599,0.173646999974838,0.0467314162814779,0.0632427681678022,0.0654243644000995,0.0983942586603881,0.061700964593887006,0.055117498278214994,0.0546307506876993,0.0561364258938204,0.0531266982676352,0.0619762420909661,0.0452817052913631,0.108627225003086,0.0395225430986388,0.202012307960436,0.0563795897985805,0.38458102035351,0.52242157381055,0.48825198291900607,0.43929049878392706,0.32711695297673304,0.601590298058517,0.49798545313847,0.47677331894867897,0.29168053471933597,0.384835778162686,0.403804881346592,0.5409916368756,0.176318216211618,0.30050739365564,0.33439941098979703,0.21071729328813898,0.268914501236106,0.0251649730351101,0.0216856593578736,0.0433192693630859,0.0209351778098447,0.0257426593063527,0.0312310231907339,0.0448955667282926,0.014067688666687998,0.0353778176043624,0.0311660648143767,0.0188803833451259,0.0206641515327174,0.0299375469814809,0.0265341173093184,0.0292447919795836,0.0189680786292159,0.0166883782995821,0.0254161995744732,0.0160820068148283,0.036483326144274006,0.016872778476705,0.0202786875923667,0.0237350123169917,0.0185074958447734,0.0123745765983385,0.0276167258800613,0.014564770962006,0.026584718721325,0.0189731523037188,0.0271531724741929,0.0156188583287452,0.0132910489480972,0.0198237368056653,0.0170261406633687,0.019805020246762,0.0184125060125846,0.0206234453786375,0.0118217793775618,0.016109392684744,0.0191797243927871,0.0189803998618207,0.0121841088316357,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+58,59,cg00001854,0.986460884689513,0.98845628485433,0.986319426297071,0.97870263941146,0.9666109746281959,0.98177161121717,0.9813233072634708,0.9831453061855151,0.9769497252698621,0.973383569575053,0.977563598432582,0.9768164944238001,0.9847843232181209,0.975844365646856,0.9735871836807808,0.981262482727237,0.9780945473925391,0.977673527011862,0.9643798793569571,0.982940531936325,0.9813432283408872,0.980195885322894,0.9684119741927271,0.967318504183009,0.9850040135282929,0.9793213813941399,0.970908314038307,0.9812375764269051,0.9916446540975641,0.985634640543635,0.966225182258405,0.978316507060676,0.979767749661168,0.9841362533832371,0.9711493296515441,0.967823559155225,0.9813967069623871,0.9614102307092192,0.975280010054479,0.975297129347855,0.961066794655052,0.9822696359621291,0.9715374360971241,0.9674779682765641,0.9784454414206322,0.987266153599987,0.976461804278668,0.979212545930655,0.9783937224287359,0.974359629758348,0.9669856960965579,0.9567189906441841,0.9505350740505021,0.97641802244192,0.969262069560615,0.971074724130862,0.97349721908238,0.967732851605838,0.97150649805428,0.9797086290805429,0.9857199580029758,0.988462873675722,0.9875823672304259,0.974872500524228,0.9825560530358951,0.9861884913542309,0.972767697294298,0.9761098570832321,0.972348335102503,0.969041280937475,0.973460129363349,0.9805068986361299,0.9776790350654541,0.9784171924520451,0.985902875775359,0.9764084337102181,0.971093567481884,0.988067434829261,0.9596279027864208,0.969807441829682,0.970099950709511,0.974543882659024,0.9784261415374631,0.9719112098659849,0.9693243310437221,0.9661055434291109,0.9733737742754759,0.9655589540372099,0.973124569682254,0.962870755340561,0.975077048656502,0.9755964850703179,0.9847509908891361,0.976041491113255,0.9616377393724359,0.971529314037458,0.9538802149763,0.9698434079800721,0.964835708572129,0.9444201769764301,0.964579818284197,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+59,60,cg00001874,0.600084707505787,0.590297842900199,0.5980429456129059,0.6403153886313371,0.6217873241790229,0.643678202912428,0.6350516949880649,0.565915740421398,0.6018607982314731,0.6263757308744791,0.651645619680297,0.590371624528105,0.5279616384918039,0.6157289003454209,0.6749993180758791,0.6199514522681079,0.6401455315361889,0.492498498262345,0.686802679820084,0.575680257623818,0.557031982099464,0.6589649716797099,0.517923863469144,0.589652751461099,0.593377334648148,0.6038780538786179,0.6373316132583849,0.44350326464331397,0.516899646547511,0.654379144045863,0.580120520735071,0.5633547117041989,0.460226738459927,0.509934500492482,0.527012402445651,0.5539410556332621,0.544567402853073,0.379076735654822,0.5886610756773729,0.49323591844839604,0.5989775390336249,0.46955197521605796,0.572927117361905,0.6998912355833149,0.633600897560546,0.675766412182408,0.5944935008118281,0.69138266351447,0.674819570363935,0.550341260649158,0.387702124765594,0.581779294645668,0.6208135003039731,0.582543042256083,0.35711475065241705,0.39676690236934603,0.38233218149287895,0.282776818562242,0.38337045040587797,0.541735901050628,0.467308078179738,0.466237590405368,0.662028284611078,0.635746073367692,0.5891201127516421,0.476634854141675,0.698465624551628,0.7200833462169001,0.5945427009623679,0.7113090677191959,0.710428414256659,0.6094629364036129,0.774222787217935,0.522104548088619,0.5400688421292029,0.8327214029466941,0.7953398624452421,0.541273363721969,0.636821636815245,0.790918243004783,0.8559845335584241,0.792236975578379,0.852755390144468,0.9222162264419099,0.88000420932128,0.8843880727391079,0.8154695500620359,0.9320652594850071,0.7902480402931491,0.817936671361252,0.92029628888645,0.9302894880047891,0.9108149495800891,0.9299403122945,0.810769974163047,0.735559837906774,0.911058076846741,0.917561964637636,0.8292888142877389,0.8473439704857192,0.9153872327456909,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+60,61,cg00001930,0.986890351455332,0.981645535641223,0.9803503312016891,0.985865385163867,0.9678927772868159,0.9760734196915641,0.974046530928184,0.984565642306989,0.9810109271781721,0.9752424148238009,0.965282529197971,0.9679262664666329,0.994228727034197,0.9800349658918549,0.980799302383411,0.982215676459879,0.980526050070802,0.976004581490479,0.9671849864427728,0.982641229444198,0.974667587862751,0.971990170182918,0.97768604087112,0.96569974318554,0.9792142796323859,0.973945495453403,0.9620950957774681,0.9764227383119058,0.9687857749902921,0.9568309797531429,0.970993150165993,0.961837364974016,0.980340438996024,0.958973525445931,0.976508774747756,0.9671151465297951,0.978653325687103,0.963734825567547,0.970171759933255,0.965850765364658,0.9701554050789679,0.980828322269928,0.9754574468247199,0.9759221726375871,0.9762679442069558,0.9851300544961591,0.9771768472783721,0.974722141481667,0.9735325993564721,0.9792874860027958,0.97691637018852,0.969478312289572,0.9480382232866171,0.9786551203128969,0.975685109644503,0.9587438734607572,0.9804001758177809,0.9696203281364479,0.968951695277792,0.9675950573601079,0.98766086721187,0.969316936660521,0.980913739171379,0.965418249897687,0.974409247092247,0.969342886947792,0.966431207623359,0.971532302775068,0.969224046179802,0.95566394615311,0.9751975530903759,0.9789586712180071,0.9532523756360191,0.9592782984517808,0.9832695823552109,0.9757750904754029,0.956894747293067,0.9794446752796461,0.9669469899048101,0.967293406842057,0.9830728679971891,0.9819307511847919,0.9783012614272371,0.9805458544470941,0.977781745454766,0.9819040560943991,0.97144112956199,0.9771668799547679,0.9589276371647429,0.977308309480215,0.9855367353794229,0.965914919505597,0.9822143683983041,0.983509720288932,0.966511387685827,0.9752790819600241,0.955667347327441,0.9667046640153241,0.969228539703931,0.9622782510496959,0.980574871067853,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+61,62,cg00001997,0.47999067964654707,0.39803608122370504,0.428279657650445,0.450093842506698,0.344943858860306,0.343557844013292,0.40956968746365396,0.509622388704404,0.532504666420871,0.5925905603557371,0.321731897207022,0.697921949295559,0.638878108562293,0.3776821748496261,0.35679721908090795,0.5432697797718421,0.42647178963151594,0.6466840273985339,0.337651665965787,0.627279018277047,0.512256867924398,0.9229963313810071,0.92808103384175,0.9182205413502641,0.9026622158005351,0.9256057430196608,0.944804686450298,0.9186972959570721,0.9456596113382009,0.9580788524754391,0.916525345414197,0.9132806910753879,0.9378389725677491,0.945346533223583,0.921000061345822,0.926377552959251,0.927425736078506,0.9524131318913621,0.9356996375784159,0.943530971131044,0.937042808996843,0.9235778718370848,0.6532301685769749,0.505214538566191,0.5288287175451011,0.36130651384551793,0.856991341283347,0.31916501377856,0.356880229644299,0.4684442200394029,0.512650972931837,0.5155245506691271,0.43471096602400294,0.537630685117616,0.8389264206835291,0.9393405650387171,0.938397462225208,0.872494065216631,0.891525812698613,0.719965403405198,0.8301488709039979,0.8724837973887158,0.8018117450319109,0.791911378576848,0.7675395569444731,0.8511531573768041,0.5845307452779039,0.8440594755895209,0.8686973099337171,0.705283525803715,0.666038983311345,0.7555567054289579,0.538312040189289,0.825965876058795,0.9145878928393051,0.635784500207494,0.55517231000101,0.72738126931124,0.8963411072938829,0.587277869662162,0.324111668078164,0.5002829957580051,0.45995341889870706,0.437205634566338,0.468548791893175,0.4720621726649699,0.481305593822343,0.290715668897701,0.678431557428749,0.554554233995115,0.493437238686729,0.44812558754072496,0.270853201814628,0.320744461550625,0.53809987906332,0.587463133839942,0.538321299052772,0.470524269491793,0.47652157944027296,0.48453691329209,0.490205142206065,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+62,63,cg00002000,0.9853432990996629,0.988337932352416,0.9654679515964208,0.9737243788096359,0.972864921294083,0.9755744521982671,0.9812080485383778,0.9734432570568671,0.971874463482738,0.9751979921592421,0.976948992735807,0.965783471563056,0.979596910661882,0.979270557224883,0.9689835588300179,0.9658724685684399,0.9777050778435851,0.9792302549313341,0.9666004249273991,0.9838256783669821,0.9752264951019649,0.9794522177984392,0.9742828211156771,0.9758143910585291,0.986359582229505,0.9829062232601701,0.9755555829363058,0.97229888546933,0.9837066005343281,0.986205312782548,0.9648817709587859,0.973422861786105,0.981104065051042,0.9830419555440929,0.9730514460918579,0.973346762166608,0.9659650877641659,0.978417526434363,0.9770264244566801,0.9585304909895441,0.9844006561566959,0.981736156048483,0.9751503621023291,0.9847814774987429,0.9804694148554199,0.974696950104178,0.9430144528059492,0.9862878234126871,0.969918242988509,0.9755962249893941,0.965799639465971,0.956516786758893,0.96747512928823,0.973634430541484,0.9695886489383121,0.940294723898604,0.9675748678962621,0.9695546869933,0.962074507969869,0.9824950961973778,0.9899191518680409,0.9765546055841,0.986014433490526,0.9794592123267679,0.9808830463816459,0.9846267334767049,0.975141333949381,0.9798619154772271,0.977694675324222,0.9778858597386301,0.9800099807470021,0.986583631337794,0.977991563078631,0.9726512287309499,0.9766506202183871,0.9927067513843499,0.9819705552504701,0.9913305870514549,0.9688585202582991,0.97698439762117,0.979629023706848,0.9778956824878041,0.9837885195863059,0.98441396281869,0.977707368411688,0.976403946581054,0.9740865978908629,0.979026776848529,0.976072006932856,0.9729456777192579,0.979240949986448,0.9777038767914409,0.9868677980981391,0.9818870098369159,0.97336958567964,0.976276485205978,0.9785739766992159,0.9746739297156041,0.974772608194644,0.9736522949012671,0.9822717376922199,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+63,64,cg00002028,0.0247104692012376,0.0186307974648678,0.0197709410136387,0.0266507396227534,0.0267435468692668,0.0273344411689374,0.0288165468645632,0.0242666345708799,0.0326885323701561,0.0352070423758748,0.0387507046214497,0.0233811973482965,0.0164409633843695,0.0345968959921212,0.0268485619127822,0.0297907973939198,0.0335787102938217,0.0333868251310196,0.0407674428482867,0.0295122472286813,0.0381609942592541,0.0188794886311222,0.0267007833022037,0.0343591257921785,0.0297693599890271,0.0291637723959753,0.024032133736633998,0.0234898840636524,0.0159903634065893,0.0246684166948455,0.0237693840927475,0.0273756043616273,0.0238637008405981,0.0242122239093011,0.032924443029229,0.0327730088114159,0.0279560575365828,0.0379576515565947,0.0305216372593885,0.038141649975543,0.0277853666683886,0.0361408653782932,0.0271316372839066,0.0194020274327702,0.034180776094107995,0.0209820196434616,0.0253863266318561,0.020221021281808,0.0354269273987781,0.0251905512314776,0.0399176481589162,0.0271618214922493,0.0314162050873492,0.0327026305353211,0.0256471378366014,0.0329723280313574,0.0297965459753298,0.0252466681494936,0.0361387067122748,0.0410182188455941,0.0181498329895525,0.0306494131377621,0.0301519088162961,0.0475758664685763,0.0227169329565555,0.0323367658970074,0.0381682267213512,0.0374866018422143,0.0338589482321471,0.047608013363667,0.0270531500382822,0.0345066304595354,0.06371185153907599,0.0343123900884822,0.0188072916966784,0.0206598499383347,0.0887630438442253,0.0200629234066196,0.0431698547273704,0.0288700554276753,0.0304003257174048,0.0315756176509899,0.0396940873175706,0.0352254531087114,0.0327161182215948,0.0231063112242693,0.032319760961245,0.0241398624194952,0.0331304141841743,0.0365432165330212,0.0363210116222754,0.0319305750492677,0.0237492696617109,0.0319833190444605,0.0439202696446315,0.0440429815009514,0.0517997030087237,0.0392449692541526,0.0357412016685225,0.0641189488350575,0.030565336034813,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+64,65,cg00002033,0.263450106063701,0.257777809510265,0.19923110915222197,0.24505573650974102,0.132625056200104,0.19352643010711498,0.16929910867260198,0.28103465836188,0.281771378462561,0.246657029662483,0.14440459510711498,0.315834219349096,0.292552460524684,0.328805323150549,0.238976044924741,0.320777276503954,0.325068581337217,0.23165635661960396,0.298540510475667,0.26853961271293,0.24081479035009998,0.551247857052365,0.419908776440122,0.8730743071783109,0.884185691385418,0.9240991883116229,0.919104762709312,0.7855447817828249,0.923049884156845,0.8474775295324741,0.8962422924504599,0.692841698849962,0.808980272080293,0.941754455700144,0.8006038646831329,0.8255068288987879,0.908547571783129,0.841953054448708,0.591792178881758,0.567728662365543,0.642558692403818,0.681033275513646,0.298560057859071,0.26021105019166896,0.34447387621871894,0.334781419862951,0.37191804304778703,0.34570921913489094,0.175035924367541,0.392942123307305,0.287106125320145,0.31997361824648807,0.2762828111354961,0.333773948073549,0.322837114397814,0.377935092348464,0.3159616479310539,0.397481273181767,0.365260126733106,0.248276395869513,0.302523378567782,0.5702589424096489,0.554107866534985,0.515938467244219,0.483379114477568,0.603136872805183,0.350927829067814,0.474627680985855,0.6103895357475619,0.332050191313165,0.30271251090075796,0.44956650771813,0.347637857513408,0.500799097496491,0.75832123570678,0.290531561861575,0.27674515257255,0.381567582447714,0.369675552938447,0.202302278708722,0.0347861390820435,0.22806063959061604,0.206429876672501,0.19514742923064898,0.26265555952452696,0.14951834213654502,0.296542536622628,0.103831548872385,0.268024097131871,0.28484709345183,0.12573855612654303,0.115684688825818,0.0955980067011902,0.16292255768476,0.272463750687017,0.379332817396133,0.0816092336735196,0.0359824918587743,0.18552044888584604,0.302081901062517,0.036439053349966,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+65,66,cg00002080,0.8473410000242,0.8851190286614542,0.887750072223604,0.8845404404233002,0.845591442750512,0.886398329594706,0.8729600917778609,0.806788258402317,0.7122274952173779,0.8712752359025121,0.8538575316708951,0.8136734221541129,0.8000017110105849,0.864186941631744,0.825671308134592,0.789133196419129,0.8579274099469,0.7353301291671741,0.8385670273189059,0.8306921114950899,0.73766431728783,0.8680584661356121,0.8320256213249358,0.7551123732501659,0.798939881516544,0.842016974751748,0.8047840444902791,0.8499268712991659,0.893047558242153,0.8201027050987031,0.8270298137462171,0.831333719157428,0.8545471249578861,0.874294175320815,0.840938507343458,0.83839933717016,0.8393515568252421,0.844076389806501,0.8140880548063159,0.8559930486542241,0.73444705476352,0.8284337699676471,0.858485018092261,0.902350731816123,0.784812291030745,0.893650457910956,0.899369908068496,0.922445197037348,0.890391336002413,0.874421586827817,0.8718917906962891,0.878645068294618,0.8994537821253841,0.86723676630464,0.9163176175285059,0.8760369963775959,0.925491269410443,0.894883115348529,0.9270934247433621,0.7572540169734059,0.808785703912937,0.816749352766104,0.8220991176298259,0.774462543312757,0.7591667996610101,0.8410839586781949,0.614247335940296,0.7812393749809291,0.8483178080828159,0.735666346941496,0.6953425075632189,0.7469524913223471,0.654055523232074,0.7650091312473559,0.8285085421739999,0.606373061951605,0.5754724793685501,0.8503467258187671,0.8714525511202059,0.577923651476239,0.5763191982381529,0.534762895193402,0.651160994019636,0.651106748370784,0.48722673553681894,0.39043809618741,0.675476112421041,0.38118907087176895,0.5554820546542281,0.622120924746692,0.5209629958287461,0.461728918314884,0.456398709335242,0.513826406408147,0.634309940361673,0.611909285784697,0.5419198477241529,0.49223087327422904,0.589469231955489,0.703403679801102,0.46431553253186,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+66,67,cg00002116,0.0109968229667309,0.00839368754511005,0.0105223607539686,0.0105825055887612,0.0140341560845373,0.0132056269569866,0.0109696732323863,0.0118712055255193,0.0119226261356559,0.0136965893189952,0.0151795957180151,0.0116914814322403,0.00775728102006075,0.012474230994558001,0.0139007220206016,0.0118069396425178,0.0134798838544507,0.01300625750669,0.0132378091266751,0.011688409473226002,0.0144937199187141,0.0100828598330389,0.0102593532770957,0.0100014417706299,0.0112902073397838,0.0145605587499318,0.0109909976480537,0.0114176655889939,0.008090614462802159,0.0105731516143073,0.0138252318544822,0.0130753170806543,0.0101802299315386,0.0112260333182917,0.0140244904253045,0.0141960544297903,0.012987552973478998,0.0129002257179267,0.0149922441172777,0.0143227582691126,0.0141276393445353,0.0134855138807909,0.011589503296856,0.009527144544724841,0.0123149347368826,0.0125402569541437,0.0113333631627735,0.0101601801224592,0.0145992303887338,0.0114186516502795,0.0142458505449008,0.0125433560182469,0.0132279237606642,0.0130833108601217,0.0116653418872338,0.0134756277221197,0.0094396900031783,0.0133658079984845,0.0125684112297137,0.015790940700181,0.00751212528018675,0.0110326020245533,0.0114033128880001,0.0136802070737037,0.0127514483843087,0.0108814243118145,0.0123996286615746,0.0154136686163884,0.014439453247108,0.0135447966847156,0.0117242864520804,0.0117303474481806,0.0168693093863362,0.0133935563206006,0.00865629034655221,0.0068408560970149,0.0119220494930685,0.00924682788027314,0.0134855114891611,0.00878861743988935,0.0151995827385571,0.0122032314289733,0.011621408871058999,0.0143281434930181,0.0134327133527505,0.0112428224210929,0.0114573526817644,0.0116445835877746,0.0137753505537323,0.0141396356887127,0.0127491569065128,0.0117635570998862,0.00902421095576726,0.0118213450940432,0.0154179562258006,0.0154608841512098,0.0159041458395004,0.0155834891248311,0.0132035401802914,0.0127065697574712,0.009382080684999409,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+67,68,cg00002145,0.8797347077991969,0.9088355407506921,0.883931684694252,0.891175941088717,0.8636126376097779,0.866899747422797,0.875243725485912,0.9173203081023671,0.862353021845746,0.879135091584657,0.8510977019540469,0.8762088034659671,0.907914281724814,0.895772065191518,0.898862728725934,0.903776060493592,0.8577609738188191,0.908429531314095,0.88605369896202,0.8661736190877859,0.8882705941013779,0.911032035181037,0.844407045386498,0.8895659756764459,0.9269826100413809,0.8875456750694649,0.9006372341840451,0.9355465761080369,0.8782123487383771,0.9185207457197291,0.903349830604072,0.908791131121562,0.897860790100973,0.8934777856545558,0.8960738536776379,0.921949376340131,0.9088025034561479,0.891590699985259,0.9134317675590791,0.908121616897745,0.89702315016661,0.890036836867307,0.919121473387118,0.910331921041159,0.8716957450268761,0.8524787328228199,0.9035445704755931,0.8956882877005501,0.9041400830597099,0.8561163727793529,0.847193521889851,0.686366365668662,0.9044685876435781,0.806095764929471,0.922790464019865,0.9627183369559631,0.972800857701999,0.9545329517914949,0.932602933787495,0.9163986532248231,0.942991704144952,0.934940228651575,0.9155617727274191,0.886110242066064,0.908767103698831,0.9122080081115841,0.9030172031491209,0.8994581117444979,0.8890570180838192,0.9153002580764329,0.909299763117637,0.914184097776658,0.861389657066745,0.8842079353275201,0.898233509622999,0.9038002153759409,0.900494832272345,0.927922874772367,0.9279757102978722,0.9364198295150559,0.8766300204915359,0.874918658941303,0.8827145260939829,0.882248247838499,0.80192524577244,0.813145555530846,0.868250332615255,0.843934940892881,0.8683802567272181,0.8712567175249492,0.8789995939834828,0.8445503585659191,0.8595831632540519,0.837144115823921,0.824412911186514,0.8930829939491931,0.8293789244584459,0.901832886950386,0.8777332717746361,0.8861744559118621,0.8854506364375021,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+68,69,cg00002154,0.90312204029089,0.9489382758705699,0.8901502227395071,0.9148047358744941,0.8323811426614359,0.86730764521357,0.879363338143183,0.9334117976495842,0.8166942766323451,0.8560277869388321,0.894458385262528,0.882234101491451,0.92200277283223,0.8885950935488249,0.899576917727764,0.869206472281225,0.872301979130619,0.8803451205543779,0.864796451951328,0.898801968698827,0.8486923769388109,0.908213323748315,0.904831408901086,0.8832865632182769,0.9004035611318091,0.9197385138667751,0.9297744297333829,0.803970993817614,0.900038058042081,0.885651339108928,0.899859976333547,0.8523854025143179,0.854463610712313,0.9164427892014789,0.848758307903858,0.8395897299713772,0.8958121535176259,0.7832286753984129,0.846185095253807,0.842387197894177,0.868380017210799,0.9051223626757109,0.838074141080437,0.6563830385980209,0.882063815669323,0.913827410085489,0.8248059183510781,0.852496308711506,0.8809729756616651,0.900258515381972,0.885367738775363,0.8370906425278871,0.584357574735373,0.868247596084601,0.860934132850971,0.8720494970153231,0.8785730349792958,0.866974914248687,0.8574317355070781,0.8439870977879621,0.917977423420176,0.9364973401578242,0.9091851833422171,0.860922826225756,0.874832867697686,0.8929381009404409,0.83203106523772,0.8721627745982049,0.8352736286271429,0.818458146339926,0.8811957339376859,0.906905111943679,0.8379814161885699,0.855452166235463,0.865597280426959,0.7531732058036842,0.8366980472753249,0.7919156262000691,0.447168458179653,0.7985387588665329,0.879248309262065,0.921296425161217,0.877938254843322,0.862043577980981,0.8373994874835579,0.8653993701333509,0.9016768375538041,0.847694670071886,0.8559160873434051,0.8586995740482691,0.923467599608923,0.910966233587025,0.9539942532815029,0.9128695174682242,0.8583848963938641,0.8547831938494991,0.8195788375385741,0.8077963991333801,0.8636045300996071,0.8553519653680279,0.8097606062596101,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.5427216715788705e-13,0.0,0.0,9.333446682191491e-09,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.44089209850063e-16,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+69,70,cg00002186,0.9896762535495359,0.9912921747502421,0.9893577332313299,0.990021480342145,0.979898530473255,0.9864973417235279,0.986540077079235,0.99039663127095,0.982945632469572,0.9789916272982271,0.9857268808768921,0.9865102096408179,0.985416602462521,0.977330759408235,0.9784127250970129,0.9797723728565121,0.982737219487436,0.9754918932948871,0.9806874112028771,0.9812394192568991,0.9815783068498359,0.990123844540295,0.982426748352492,0.9795292049907479,0.9848017317069921,0.9883693666559741,0.9754817463724129,0.987889097115578,0.991957206940722,0.983650371453284,0.9836279209523392,0.98140642271192,0.9882515324474259,0.987161951837731,0.9785068084256808,0.9818500550177729,0.986986742083234,0.969973176464044,0.9826793912918,0.982162194245538,0.974901628462317,0.982670303546917,0.975655226351605,0.984301428543504,0.9807228896677249,0.9890737687801779,0.959510553801022,0.9855618009456909,0.981330296451962,0.974576421365331,0.9718046366785359,0.960130038138855,0.9532504300600679,0.982870634259353,0.9638873922476401,0.953308877234332,0.9487505659435791,0.953472177417391,0.948101871358287,0.977666138713881,0.9937315400852059,0.990445706712783,0.990541289958895,0.9875881106262149,0.990065743450556,0.984831319980459,0.9834426794056029,0.9827337427365741,0.9840157951728841,0.975620605580662,0.9834527770659051,0.9886108147836659,0.979992435818582,0.98349372412166,0.991315267967212,0.976291257211902,0.9807741477170808,0.9888661653897158,0.9698610655044241,0.980277242912122,0.983820370236979,0.9872381198417941,0.9831608636592599,0.981150688429943,0.983134763991521,0.987315772364636,0.9845045479899409,0.977577654139219,0.974285706750167,0.9822968112421221,0.986669492473283,0.97775108207442,0.9900451166685571,0.9866440463856999,0.971154139822397,0.9792144828802181,0.9690600987143969,0.9795830255413079,0.980339480228543,0.9788534396638641,0.963844335319045,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+70,71,cg00002190,0.9284734370516109,0.9358275758156981,0.910019038085976,0.9350431527039929,0.8984144731252819,0.8965662830948108,0.9102873797281279,0.8784685143179449,0.9078187529717541,0.9372383517080942,0.910034627994025,0.9119634402233191,0.9526635401729,0.9044126285283292,0.903926432911375,0.891856602747917,0.9264917539889109,0.9240508564772489,0.917900614368917,0.9167294593502121,0.8946682057881179,0.746493888283872,0.7292269718216491,0.796979057039918,0.758087620643104,0.762278204752041,0.7921418578647429,0.76859210766571,0.747047652699328,0.7638293354782851,0.699711124570302,0.722999444457034,0.784490098387812,0.779029573865277,0.7186180281437579,0.7178940350163409,0.721336000823767,0.6595517822559289,0.6901651993502629,0.725080544394015,0.7937463668978579,0.6854245555749481,0.883632098360407,0.912127393845131,0.920444196457938,0.9112736168085942,0.924786675352627,0.8829988261909549,0.9175270862172149,0.906013907161033,0.8940238997160259,0.8604850434136372,0.903975342498357,0.9032661702307678,0.909616126802436,0.91764476066512,0.9179594364352579,0.897309276387299,0.9148322724476681,0.7440473796545529,0.7099623320325771,0.761450951124352,0.790444056373441,0.7345411991272021,0.759935343699778,0.785183696296838,0.824765563656626,0.760720366661253,0.704688657011378,0.775625974148318,0.841886879109447,0.8413407588986629,0.8395378478812242,0.7206869742409681,0.6909046506717479,0.890660699464898,0.888037884163843,0.772981277837802,0.771038481497689,0.8945941288432221,0.8304594489205241,0.794133504101953,0.857560955532364,0.881441933521634,0.8585673173783391,0.8673615579410779,0.844468099728998,0.898639680552908,0.7799862029053509,0.820861575085002,0.8557061738611141,0.897140167763759,0.898739012844609,0.855201271443695,0.806944671648096,0.8046609157383141,0.864908337169045,0.8957500455808979,0.835708553930547,0.8384844578711641,0.916312000988,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+71,72,cg00002236,0.0168436714345042,0.0115477724165208,0.0203279057344887,0.0133694689961948,0.0160926828466542,0.017355804596778,0.0207094350232381,0.0327010777722916,0.0209801294122624,0.0167164425774032,0.0158502581604811,0.0190535297210279,0.0088896501631491,0.0218612188010003,0.035790780699992,0.0242371202530571,0.0187934108788627,0.0199641591696982,0.0310045616364388,0.0174013897075958,0.0310890173027697,0.0229068834852113,0.0209201148959768,0.0266393344938923,0.0373668421167224,0.0369548425159011,0.0239822241938505,0.0259866461474391,0.0199531709287983,0.0165923723346341,0.0274582000738505,0.0175430267261659,0.0250022904765386,0.0262629538698821,0.0240902617921724,0.030455300380712,0.0292784472471742,0.0208450553326617,0.0372313800644803,0.0230055391720026,0.0212926765618485,0.025400842929836003,0.0151533525423558,0.0103112548893454,0.0141563723941111,0.013270830545371001,0.0184682479128631,0.0153817061211101,0.0142105025103141,0.0208770743695959,0.0176345761769593,0.0392109166269865,0.0246200727856927,0.0212210965019807,0.025122313747066003,0.0186989411679274,0.0154607284499084,0.0191411871717392,0.0244964022265941,0.0154181620610251,0.0127356814696564,0.0148026275710535,0.0189426160336019,0.0126442937300929,0.00931931824390352,0.0437975244968642,0.0187887983557688,0.0194575146115262,0.0261797505329203,0.0202074521333494,0.0341340327302859,0.0268593249704267,0.0173136869515922,0.0136094746482367,0.0150999904401648,0.005903613791277029,0.0215946951114743,0.0150184316378093,0.0164786135834535,0.00705327129153207,0.0193299007210048,0.022668003322386002,0.0342326753229691,0.0155245523527615,0.0108903044812268,0.00904500454908684,0.0224793342696095,0.0264623712138659,0.0236722331814909,0.018190783734001,0.0205002350897801,0.0338562810428391,0.0292711670818885,0.0182696310362437,0.0304219391782863,0.0224023383937374,0.0202420770651906,0.0148486000820773,0.0241015755888115,0.0222356077484549,0.0154317184646324,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+72,73,cg00002350,0.9265891015324169,0.934279135115855,0.8042293922440771,0.9481621849778772,0.8548371104863269,0.8903385979301921,0.8598862334709141,0.8263887756772679,0.8721846874761741,0.8711242437400558,0.8982106924523409,0.861014876067756,0.918788282109355,0.9346985441970029,0.886218861158295,0.892669594277516,0.9033066308116959,0.9003342145709009,0.90928647508616,0.8693945192160091,0.8903572227537979,0.978762983305616,0.752010380833497,0.749943392480391,0.746899590037552,0.847835433823374,0.771642007812677,0.705745673690821,0.733847381086397,0.7549555361100421,0.767699332527423,0.875711641340297,0.770193485372967,0.771721093665589,0.8469576257868371,0.744665390152293,0.8515580336927299,0.858237901519904,0.814299536229247,0.8683987921322059,0.774330987982758,0.773159794986487,0.949280431058603,0.9483030751680329,0.884973171930438,0.907835160925611,0.9548853922372379,0.953872980222039,0.8723112368246229,0.9140648783063421,0.95598532781413,0.91767433743386,0.9065202503291311,0.822791750067853,0.963723550551794,0.940543314076608,0.9262951349507942,0.959351897996068,0.950380808330062,0.952392670760725,0.861657732104875,0.7748237207529292,0.8158525393448491,0.8876001705982042,0.8158948300337351,0.7965533786514059,0.8992617318961831,0.805445331815626,0.803475559427321,0.900792299176338,0.8298982278595759,0.860423271116457,0.8880660763577328,0.8429295008369909,0.9227626906163721,0.969983132955945,0.934975407625255,0.95993140554796,0.8872570964985951,0.910632159588296,0.9336196606555981,0.8874594909677009,0.9118530504354009,0.9429866876545151,0.9492100801926249,0.937154440162708,0.9149062887810171,0.956522240546779,0.8869664593466129,0.9115886847699491,0.923114124686638,0.9540653559480509,0.9470308991966709,0.9304150670710251,0.9150956986233699,0.9005229734450358,0.945875811977437,0.9449138153967629,0.9176827495757629,0.8891343120346619,0.9170802582687629,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+73,74,cg00002366,0.56180778320547,0.598432056911342,0.49838838281208003,0.579043065675048,0.6142512299131999,0.594255015739077,0.522231248032864,0.605464212186569,0.5410062355512739,0.563823542116052,0.68506741427351,0.7658866473486771,0.6897413239022291,0.510139876982134,0.5254487998656611,0.666748420833728,0.496933667469656,0.7336005202519649,0.462871325598032,0.660036986289201,0.501546094820468,0.9722898677715309,0.874449243681477,0.8441550322898191,0.9031974754152909,0.8973790169275271,0.870689684644895,0.8808072353336209,0.873637768742142,0.8716545252285128,0.9057956769228199,0.924691475007246,0.865696245550763,0.9070923185092941,0.9194694633964109,0.875660134649705,0.9039536944527221,0.943047760522429,0.949249668989062,0.889673804842718,0.9048806873596349,0.9414788177491021,0.7659502547417321,0.7673377024552421,0.656202344158843,0.609476327959146,0.92154147640239,0.5665414552685251,0.726800471039132,0.574578227213656,0.843601620710879,0.861345004797879,0.7177487977738659,0.5754462731926611,0.9367097190334,0.94542183330981,0.973745134889068,0.936539570026376,0.9347618098386741,0.9361413292480641,0.9728249846075859,0.87685448549107,0.929123071599581,0.9556514012765129,0.918724477905025,0.9056322191320669,0.964084293156473,0.936433069684688,0.936034732181226,0.9381957267002671,0.955486208396384,0.909117423545508,0.9329408648641141,0.881555420693217,0.9746928321791991,0.9695132238810171,0.950593087311794,0.97710318528686,0.9363133163571441,0.9349023718961641,0.9543802173873199,0.94482423048418,0.964111155112473,0.9691851476617909,0.9396318623196008,0.96618779508585,0.952252042279681,0.968683959970482,0.94232267414382,0.9373233902540781,0.9603080372068029,0.9717152289303209,0.950859870251063,0.964745057484542,0.9518583915293729,0.9538780926361221,0.968297573515333,0.967676206146682,0.938594314426843,0.933144473842119,0.9542050718288019,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+74,75,cg00002398,0.9806230807473029,0.9837830165884571,0.9795729682607142,0.9813240108116129,0.972522281425039,0.9768102945715079,0.982470035702122,0.984240486915476,0.9769918859137628,0.978861188025886,0.9720420312922199,0.980261854079369,0.991289334393343,0.9733438307074059,0.9739514814970609,0.983450754813334,0.975843945445389,0.9767219380431379,0.963862855254968,0.9769054948843059,0.977350397667433,0.991058882674618,0.980198709747892,0.9781297841811891,0.973473940068679,0.976446988786131,0.9826710297767242,0.96485399324809,0.9803473331008421,0.9660632512720799,0.9773496070482809,0.975182055368876,0.981856290561831,0.981677346984932,0.974419484035252,0.969821898900415,0.9801037456945979,0.9678512679190859,0.974413652999205,0.969667824822027,0.972961805968643,0.9768509667754329,0.980868132429812,0.978416712331328,0.979977666366864,0.978452654387249,0.9726884010582321,0.983773356198725,0.9762287435150981,0.977961004410129,0.979700212731798,0.967601936454107,0.942796576044603,0.966681115058364,0.9761793303341171,0.9776961811806701,0.9827152848018209,0.9721299893378341,0.9720766737754899,0.975131266565126,0.991327458809547,0.979207974127361,0.9871786120748269,0.965583238864058,0.982947179789986,0.9797304149199321,0.9675481212466401,0.967840391116523,0.9707482226167059,0.969843291630146,0.973792771198615,0.9825350341429241,0.978484238513937,0.975891783032894,0.973514241674543,0.9527169319466999,0.97328223278575,0.986079589529993,0.961414540911251,0.965100519730218,0.975974452307563,0.9795994510909,0.979000565967668,0.9774492049514308,0.9750016768536921,0.9793934210224141,0.9746592394657192,0.97078878485512,0.9738428902853309,0.9761261346101808,0.978201347364663,0.979050588026918,0.981963066262995,0.9723360989004741,0.972497556852103,0.973461337066664,0.974308164444495,0.9651293441426009,0.979311040211615,0.9754565906012191,0.962641233542082,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+75,76,cg00002406,0.0112187110915176,0.0066323838430304705,0.009185486331674571,0.00796154410384806,0.0076154900724608905,0.00862855056880207,0.00907903856815999,0.0121114534171569,0.007560418260990179,0.0120167191209894,0.0122991759482609,0.0074304076843800205,0.00480786034758819,0.00803531653995625,0.00949030761906911,0.0108689276051591,0.00900483255487537,0.00772637591397057,0.0078189620961311,0.00762486998600177,0.0118877741273619,0.00834611553687839,0.00922749428543328,0.00649078655541665,0.0122563488256281,0.010629462303309,0.00868875977107626,0.0102056532875272,0.0114764025941163,0.0081585858056834,0.009194641927721,0.00839726203514423,0.0113581074418784,0.014527767332392,0.0105248000629388,0.00970371891420379,0.010726365264965999,0.0081745043781706,0.00688174110147515,0.0128001127816954,0.0087945017409333,0.0100614021530695,0.00796495816893737,0.0066089234438408105,0.0104225510722066,0.00719866431619853,0.00793048196501286,0.00757749685189649,0.009658821548741241,0.00927151635440898,0.00956408727849025,0.008726239261691691,0.0094044899205687,0.007831850025115791,0.0105670863435537,0.0114392212907609,0.0111502919106613,0.00922636338276963,0.00912892610447623,0.012897969844402,0.0078012099350049,0.0123392565452923,0.00965100610163296,0.010538959770621002,0.00731116951637502,0.00676587693093335,0.0089654092607927,0.0119910841530477,0.009297934118568009,0.00975414821349516,0.007591855347311909,0.0111811539818917,0.0110484413847977,0.013616990234842,0.00668062345573586,0.00415726970874887,0.00670554034818404,0.00873862399780182,0.00898404964377528,0.004940952134596529,0.0078122284050936705,0.00799135660181003,0.0139613273284906,0.0132218479236389,0.008882251145657029,0.007038527965626071,0.0107280959436133,0.00996546587814278,0.0104971241932851,0.0120654061517845,0.0104156452598555,0.0070890581192914704,0.0100791315805076,0.0068811498907569895,0.00932663709873856,0.00988218602089051,0.0115102276178739,0.00718454820522625,0.0108504060163848,0.0087449372084193,0.006631876984173979,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+76,77,cg00002426,0.41648305386796297,0.43403924340185096,0.36789213954698896,0.378066479747964,0.366755930593452,0.350782257351965,0.37683106727713794,0.45431580413158706,0.376354780772634,0.472975548265633,0.34455624906422994,0.474029598085515,0.321382130076696,0.38453953051879897,0.355793642447476,0.379899759437489,0.369444811694783,0.336238916108208,0.33962462741650395,0.413814225585386,0.34313173315868395,0.970925928106102,0.9468041764432908,0.956345098867793,0.956565301462652,0.9473218145934829,0.925360066972582,0.953422172999793,0.9656372435664609,0.960483570708967,0.973999791438233,0.9260999211261791,0.955266385229016,0.966756116976494,0.968703775799524,0.959086236450424,0.91933129293749,0.966366842568945,0.956341106577162,0.969370835384932,0.9523486870793149,0.949345181433916,0.35061861294494606,0.29527770047185603,0.443093950032623,0.28629774296014304,0.200619041768568,0.213999961589727,0.282149965250302,0.33896170251586794,0.150506690466577,0.085057916059284,0.22280654029084698,0.42945079331304997,0.263745069345015,0.20009923240059801,0.199411107777809,0.254498228828196,0.154547044665604,0.631127629949111,0.8121976304058159,0.844098983357963,0.780486765437105,0.7502259217059921,0.698214246326826,0.8482406663674059,0.420322922983064,0.7622738354460681,0.8907628559962649,0.582211593123467,0.448788804789019,0.728004497092272,0.45140360647500394,0.709134203477593,0.91274797782693,0.28764144237502803,0.370134326213286,0.6776982869245961,0.8041614471071221,0.260809020836289,0.15942725861678,0.39771297509527004,0.351701249316651,0.26800862084531696,0.33285840011193796,0.165738178028805,0.428938808834338,0.0978173177714821,0.596197953550558,0.45681472319827704,0.22282610282374,0.213199452837088,0.16975300608047797,0.300856369253218,0.3748642041530789,0.57551802838864,0.11711536831048301,0.22960666327700702,0.229638539518509,0.5344579577387479,0.37051327903340703,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+77,78,cg00002444,0.777796380924005,0.78573079858319,0.759715161726347,0.771666648177849,0.6694401432432061,0.6455074585491091,0.7754277439660748,0.7586710619306929,0.8061057458666071,0.792073064855806,0.6837876242659101,0.821853953368956,0.8444155675142769,0.727785352918867,0.7270360529704579,0.755579028444823,0.83329813414131,0.814849226291355,0.760769117655326,0.821672931875457,0.69926646702695,0.8181115167128521,0.694227786946974,0.787967955518865,0.855016957680223,0.800924421534496,0.859187100103472,0.8064678953048341,0.832596576144837,0.8331172268826371,0.763946729812749,0.750250214913193,0.815293241083454,0.7524262016477751,0.849077606832787,0.806889122812127,0.7747483288954321,0.767035915759073,0.7931707245028641,0.7997188110874119,0.8112876363068471,0.8140223788413459,0.7531161257333991,0.778708764981246,0.7669961117433621,0.7856839909163509,0.874694979718045,0.795167513649386,0.7394894825957901,0.770660614995796,0.7446384856292109,0.672528197866836,0.701511697486314,0.7749283273854398,0.898583568218385,0.895058072150822,0.813104562653175,0.9303703521153149,0.8930822287284592,0.488054450093716,0.45379902242759496,0.6986387633671259,0.718378538145688,0.7756818423242959,0.667344997762981,0.7184807990248709,0.320259772274468,0.6223453312970739,0.736097877391015,0.453344796676296,0.369308319449046,0.61254880291818,0.289751583401047,0.661928643838923,0.796817690617766,0.198469168950186,0.269615092824942,0.463976186332334,0.7168955039132141,0.224642114618606,0.13658839880224,0.308682254607528,0.167667027981929,0.169453771274613,0.24977954186781398,0.10243663668488198,0.31749361491045003,0.16402546354641598,0.275275382904872,0.30379829719720797,0.130841471151632,0.0910722755043115,0.12628675704749198,0.0954402862523355,0.268556960800044,0.46344440015558896,0.0767863737292048,0.0672202502800961,0.13385452003745402,0.256128733882922,0.131676623694727,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.6848302187308905e-12,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+78,79,cg00002449,0.9250941104532991,0.970677922136641,0.940710869204829,0.9464995018195509,0.938790370941923,0.940560148798952,0.9426540801049599,0.9367889949502979,0.92103085560606,0.9475482251924591,0.963232839833244,0.938687790238734,0.961992588597827,0.953503295847702,0.969277939189184,0.946066001220859,0.96329417267399,0.963126062102103,0.955368981762465,0.942351811674464,0.9496488813141759,0.9262996272734879,0.9173527747769351,0.9296714309017571,0.9385934695768722,0.940751312401735,0.9442094537639641,0.9472902857318871,0.9355739050641858,0.945399421040723,0.944376030471563,0.951945582706884,0.94935370685191,0.9453475549799009,0.9527276436991831,0.939996656595288,0.923761558472265,0.949162148347667,0.9349767653809871,0.941810682391617,0.9522389271999889,0.945048988276342,0.932693100486234,0.9729286738389321,0.935961886284989,0.964620296705961,0.966444518836305,0.9728245453079041,0.959770553830563,0.9354667778532809,0.9535200602282758,0.969526106303579,0.9503110665055141,0.941241939622306,0.9410141743151841,0.968009497880152,0.964838799631429,0.960569160996431,0.9590717353322071,0.93865924243268,0.9683879504636659,0.9165833812453559,0.9514844519059851,0.9596856427802621,0.947424692602808,0.954199547857362,0.961926516286855,0.9422877527375729,0.9424618337506608,0.959542154879761,0.9569834011644849,0.9662926370665359,0.939875702756801,0.9443639769068021,0.968739314992259,0.983979210619757,0.9744946782803381,0.986619323045792,0.966820877442725,0.9800835478399141,0.9619069516946891,0.937944464938353,0.914020939513359,0.9563025335644129,0.9373867789205269,0.953670531131565,0.965049519106133,0.9480496480776278,0.953074684922873,0.9443790182173779,0.916193705404907,0.946279446963425,0.9624320116064641,0.9330524253598841,0.927647749917351,0.951220453903938,0.958944587465171,0.9467131420454641,0.9455355729625631,0.9429816045818491,0.948944946422178,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+79,80,cg00002464,0.0292026476179752,0.0223044217712272,0.0243151419157054,0.0233571819999895,0.0373165125275761,0.0306978923282032,0.0340588740151139,0.0301261408080776,0.0296955095387783,0.0355541172691745,0.0319074462621839,0.0187146601872665,0.0163903227171183,0.0242298972456941,0.0228777046248106,0.0231361127086541,0.0317646907408146,0.0297994863317997,0.0315375096375647,0.0254151700209198,0.0352418364518161,0.015254151064016001,0.0186204961130307,0.0365659685432365,0.016610112587371,0.0260408992980162,0.0232214407087923,0.0160919528164286,0.017578020855336003,0.0219144965169906,0.0225964575434193,0.0171806883447139,0.0275532763532441,0.0189984995535646,0.0293456085145221,0.0240074263744933,0.0313154537198667,0.0276734061591594,0.0391642260098273,0.0240061158594897,0.0398886257438674,0.0285196480438027,0.0262718871152509,0.0274701682145891,0.0273487253824166,0.0364640153262469,0.0365380379501289,0.0299307098173772,0.0352892747671382,0.0305730455337462,0.0303434101143951,0.0200992520803484,0.0313872396675194,0.0309409385873384,0.0283787410113214,0.033572648597917004,0.0190668296744717,0.0238774445517725,0.0320339137091591,0.0151508444784779,0.0121995578922222,0.0218681499744355,0.0266700042112772,0.0365589001386377,0.0175094091154318,0.0234416561900669,0.0291472127323484,0.0345900244393045,0.0248598627090604,0.0257813889870168,0.0171525681502798,0.0194971756881614,0.035447568310688994,0.0307850110704624,0.0135240921562722,0.0177955966142832,0.0330089094991284,0.0205596701488127,0.0223322852805437,0.0229705410422872,0.0138722683067736,0.0262463713750202,0.0185067823779357,0.0186930655065408,0.0364213554237814,0.0196768600956231,0.0181912020663355,0.0130031961530181,0.0281334462365276,0.0233919778540816,0.0147006861903007,0.023317654439704,0.014116430021025,0.0187266543084431,0.0305682005828339,0.039463370754464995,0.022822813290706002,0.0294234778509403,0.0204968903852473,0.0430596447764083,0.0238134446538468,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+80,81,cg00002473,0.9585726765173092,0.97242953528196,0.969763557201802,0.962936597189353,0.9060838232087242,0.947701986839761,0.938840665454984,0.9677197184333959,0.9331195545996659,0.9247109014118199,0.9418654691391021,0.958586663276383,0.93464676400933,0.936629588166522,0.9260317639532959,0.9287755704621801,0.9377356134370279,0.910417230415157,0.9320871328787559,0.932402493442935,0.901970482094953,0.9284755355855219,0.9861695226172109,0.9781943510465699,0.9752674169772371,0.972146291682647,0.9689767253866289,0.9870484250298258,0.9864038239147641,0.9801428668554399,0.958214455340192,0.957183719794688,0.9680225020755191,0.977115662148702,0.934267088711995,0.932557777711146,0.970915797158986,0.873432465783771,0.920365320468425,0.9339371130807801,0.9253500464923309,0.9240370975702131,0.8780183508968941,0.853521798719472,0.9347026613428959,0.9496652564537859,0.8542722443895291,0.9414045852408491,0.92977185766368,0.94461343458608,0.556540283601723,0.7289712430037371,0.721796109267527,0.9376097130431451,0.7971524104401,0.8224531582677421,0.8333019301599259,0.806152135384043,0.75526759681065,0.948269651091755,0.973008072514488,0.9869486003708929,0.9710450309940079,0.956060331689122,0.964446304138999,0.975239844314691,0.8883639613327509,0.95244555246953,0.932648577409324,0.9350114234142691,0.9626939329158359,0.9775792201822099,0.96400987576037,0.950809945705999,0.958197486132928,0.8458236821839491,0.8527162689038961,0.906437858259368,0.826521078325535,0.937355850615838,0.942802214552425,0.9592665654054608,0.950764840030328,0.940597480602426,0.951060415510453,0.9428105010873091,0.954022065466985,0.9316496279947309,0.9231817385709259,0.943042462156371,0.962545673265528,0.947121416472736,0.9655995747593579,0.964300791245908,0.907281730700143,0.923128837182497,0.8965952695858579,0.882694139819719,0.9275018382645309,0.9186009990595101,0.826883305516137,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.94022620192413e-09,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+81,82,cg00002490,0.00996847323738816,0.00751827619185073,0.0128241218608021,0.01050041525195,0.0138807458563606,0.0125046702284332,0.0109986248659845,0.0118427490753565,0.00943056182582195,0.013000973212421999,0.0112387122716457,0.0110600060626667,0.00663348469483949,0.0115644624575861,0.0118862601341508,0.0101631671260236,0.012556890955155999,0.009360975778713929,0.0153299876037538,0.0134331691190659,0.0171517131724463,0.0133033479263284,0.0103926641749217,0.0119645376189501,0.0117573470754758,0.0121643074098971,0.0100227487701025,0.008746954474527691,0.0101563032343492,0.0132129061632466,0.0133774769205617,0.0103918353385996,0.0102594287206997,0.0131802606991233,0.0141502052842822,0.016937180889238,0.00917133116218802,0.0131219480700868,0.0125388921882366,0.0101932298516054,0.0118451574897021,0.0111228700457338,0.0119337448476922,0.0127992637274297,0.0173728158019363,0.00742506788151179,0.010720485882235002,0.0127144046897406,0.014566306494473,0.00913697239678885,0.0176490510587393,0.0129553315286255,0.0140951065365124,0.0147971651142968,0.0143626062435842,0.0123272579766974,0.0119335843840724,0.0114772640309251,0.0185138220171001,0.0119250412879675,0.0170928631078605,0.00858839528116627,0.0180627052966152,0.013523295542556001,0.0105391747489764,0.0103331065777325,0.0128352376150419,0.0155105097832834,0.0126199491792429,0.0110178373920232,0.0104240829944279,0.0107228189656072,0.014908166348077,0.0125871234458055,0.00615758708977297,0.00351332426915136,0.008194441326152891,0.00960682808054495,0.0138647681890595,0.0079299636746184,0.0106358858537685,0.008925812143203241,0.0113181177768693,0.0129385421085058,0.012104653951114,0.0131314778600467,0.0123232176761144,0.00911299214978735,0.0131636288698858,0.0125395593801338,0.0118963730081858,0.0072743606023721406,0.00934575980140965,0.00943656653295843,0.0161924332964978,0.0195595053723065,0.0135333287380179,0.0156947985816633,0.0138887810998262,0.0119549524803251,0.0095618402649792,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+82,83,cg00002531,0.9628275385719991,0.97861519818308,0.9744274923012559,0.97901878578375,0.961017721524647,0.976413160747493,0.973172093153206,0.9650126396215409,0.967419114549775,0.9475689442831109,0.9695571366347091,0.966923779946949,0.969838991133827,0.976889240339265,0.9438365932005099,0.974322350304159,0.9704515058606079,0.9735131431846641,0.9793252652103721,0.9575042119716841,0.97409157900967,0.9774377117502521,0.980963795475307,0.9844627187512879,0.9623274507760692,0.970617582615775,0.970227040917213,0.9782054617798921,0.985288982914939,0.96866220812007,0.973193415111018,0.975068067981794,0.9807986347249029,0.9692682923510809,0.977363152110588,0.971959560342588,0.977756037724563,0.980788852933384,0.9727247364038759,0.967231805844114,0.95676693120552,0.970127934244817,0.978600709533509,0.9832195118160981,0.9818835444847329,0.9706955515780741,0.968989510573938,0.988746822003865,0.973211122977234,0.979188583797667,0.9748199045526451,0.968389469787336,0.978252159165644,0.9873742513325849,0.9723092131835299,0.9556272582942149,0.9793204720563871,0.9633302046367429,0.9664335082101221,0.969631919300535,0.9818308049674609,0.971315859592328,0.977503071010251,0.9791903030466321,0.96723158278737,0.979189213057369,0.9677106199016591,0.970350807083461,0.948923982770977,0.983270933621486,0.9776783410399759,0.987147389358177,0.97895321483084,0.9662581262779159,0.9825087404742029,0.993988358311356,0.984742424146463,0.993712425958682,0.973406397022884,0.979277943674148,0.9758393059107009,0.9766699718899671,0.985977654384453,0.9778721979876851,0.977458194380596,0.9614480482077851,0.9614572880460429,0.985937274929688,0.9655826577420691,0.9714176587030708,0.9812080468611659,0.9805332588565999,0.9809782779603741,0.9612191219154829,0.9792745266460849,0.9809952230096459,0.9727467697979829,0.9739312980643241,0.9740721800024441,0.9669400144538249,0.9852191193458891,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+83,84,cg00002559,0.0699489715468523,0.0522568050808108,0.0626307119662343,0.0658265904703322,0.0568026501632408,0.0588226069050332,0.0535231803819882,0.0692932699780239,0.0517685309237603,0.0701924912866648,0.0872822798587177,0.0605669171939611,0.0495461617423055,0.0812250652371961,0.0596046271242806,0.0499529777822751,0.0516225005155036,0.0556190691051454,0.0543826005720013,0.0430537345239917,0.0615689129293355,0.0578120397783378,0.0515198199495866,0.0535061294405097,0.0615308142715701,0.0586637070335334,0.0581951966758868,0.0497578856539978,0.0539485032310341,0.04533304647098,0.0796051635376899,0.0668483520331723,0.0582222494517475,0.0583203865645847,0.0567420229797152,0.0556628901971827,0.0603637480476486,0.0458472456392202,0.0541224622593346,0.0555492161034257,0.05107440588498599,0.0481950005680679,0.0651531506635582,0.0735506659221761,0.0589884869974429,0.065429337121655,0.0439360057021269,0.0623775349653342,0.0628335229916471,0.0550973822873246,0.057510660104622996,0.0617882865598876,0.0567327321303609,0.05413314610882901,0.0539534264544474,0.0706178051355868,0.06781723041455799,0.0479052169214219,0.0543343228585644,0.0829374312377205,0.049727634370802,0.0610609812495631,0.0650648544219121,0.0681586952374072,0.0532036625399776,0.0580741023495783,0.0661293130893198,0.0748396924647438,0.0606482901236276,0.0718369657442769,0.060775135143048,0.0702444327800678,0.0608014435411667,0.069598639159009,0.0542539082342883,0.0670009658089685,0.0627808166620096,0.0426875364909541,0.0635745327346539,0.0376401266206527,0.0708821365686401,0.06360709520944699,0.0652351674656542,0.0898128611515087,0.0598403483279459,0.0598442649551649,0.0635955762595528,0.0602798323572675,0.0614598491563629,0.0636379754811306,0.055982628055079,0.0599735395512451,0.0698394250582671,0.0656943786532508,0.0560929241691399,0.0704438218726078,0.0608126574637871,0.0748508251452289,0.0537982407200887,0.0592093930890155,0.0649754439432275,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+84,85,cg00002590,0.8319468117983371,0.8755404930513091,0.782005054037338,0.9083504915093058,0.82958598295637,0.7669818436468578,0.7956641623200071,0.7940954286694971,0.7568567093522729,0.7983828082483729,0.786801076013907,0.82160135250411,0.784292918306922,0.746683646072816,0.7985556821738421,0.8739754536867851,0.744740455125134,0.799232801592754,0.7583354455556741,0.7494543648021691,0.76861352341177,0.8677528941907958,0.8288162334737439,0.8160805764163549,0.8301230609799859,0.826978786365711,0.820647556712182,0.7531389452558699,0.814528882638802,0.809428818068063,0.792133953280521,0.764436541383499,0.776454657829068,0.809015074601759,0.6950242117573381,0.7497755801600291,0.7811560629770421,0.8497049760908721,0.764994846249073,0.7725208402558491,0.732938894900546,0.7566538034293051,0.8284742633458639,0.9363889839791558,0.7975738868705259,0.8417823098317451,0.7898320909135079,0.8496993978065049,0.7959254792268491,0.8376779789180309,0.7558743850942341,0.8320576692581929,0.835209895512744,0.724238434072796,0.757043909095396,0.7480119320512649,0.8372114412100041,0.817668239847561,0.7376182801661171,0.8590834043762259,0.87046738194267,0.81055601513001,0.8868216637764821,0.855882889234135,0.778745314509966,0.7996852523279041,0.857457696154722,0.73798017929021,0.7835095784334521,0.822834150034962,0.757831809170968,0.79047033128115,0.7292243515050549,0.7659314121828359,0.8161284189232201,0.946287227124885,0.84885750912782,0.82689866313502,0.802614116763519,0.8128237364876759,0.817756600697009,0.776487681346951,0.8344079156528421,0.8339617883470891,0.8478485514705101,0.76138216680702,0.786664371757973,0.852973601077685,0.744157078391282,0.757817168041993,0.84819299346062,0.8265285266822021,0.8092991324536508,0.8180247295754028,0.7324407017314299,0.7879723556612069,0.7795606432298849,0.782248234674184,0.7784401674491891,0.7457198381949302,0.809243855975904,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+85,86,cg00002591,0.940402990055732,0.9368577201632701,0.9309149942487709,0.931156829807115,0.881148127292527,0.9085025297075771,0.88193693209657,0.902693264339755,0.934544025818371,0.9280063410363041,0.925268323496173,0.9283299727531071,0.9538372824450492,0.894673365696803,0.885077639082828,0.94919583486483,0.9334217135778199,0.96374982408552,0.9269793626554559,0.9544526894850001,0.9572878620034079,0.955095955740838,0.9505389534884191,0.9465946511064829,0.9422244468187819,0.9560323636259359,0.950752066212173,0.9538814496576579,0.926452892565385,0.9501467595774521,0.942182313534838,0.932118934263747,0.9180350641673829,0.9458393333719051,0.938569355102489,0.9395123787511991,0.937564827404071,0.945335364380645,0.936877035617415,0.924068655335183,0.934096147834446,0.9350243909662909,0.95557501722732,0.943885700749345,0.9139692297119351,0.920215050912787,0.9447086420097671,0.9382163446294491,0.9274140599986149,0.942851556994348,0.9292890108724959,0.8885448864138231,0.961072010224073,0.941044952371847,0.9519895685349749,0.9341074702197991,0.9557836026371591,0.9275282143874591,0.9479380073029671,0.9668720390988621,0.9480445557099749,0.956240902470326,0.9707416381220759,0.9493014336519221,0.941850476300976,0.9456232613686819,0.946763487447929,0.9485263455869741,0.935651599177913,0.9547826671950841,0.9289156992563979,0.962796505917213,0.9559274679958459,0.9575032420752192,0.9692442817122979,0.988305703463729,0.9792905690634449,0.976386610622719,0.952764346558563,0.9818984127182929,0.947558059373705,0.9431999805599008,0.9574320568372859,0.967530142164333,0.949763348118219,0.9226611295968901,0.938220681887662,0.9331229948389821,0.9566967811718391,0.9511990686623509,0.93365585439651,0.9499162737091509,0.9570470454554241,0.9183974367014971,0.9376308904053292,0.962259039347813,0.9508884888840291,0.9383832241058371,0.9400275789002042,0.9651114299397769,0.9681264697178729,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+86,87,cg00002593,0.9237575076871641,0.935646298600466,0.8743773244509789,0.8947018584136641,0.8809422508818721,0.8967860294105748,0.8782391870892661,0.880171864378991,0.9025535085600129,0.9125241395469691,0.9228088726602071,0.885162655224631,0.9420038944027421,0.8837642426314559,0.894667925313565,0.865022718281116,0.909401857647064,0.9398985315220909,0.842630499950518,0.9250976803559648,0.9135748570683271,0.960387707811275,0.974583746332127,0.955220133775353,0.9597199985943121,0.9564379200138711,0.943023574655894,0.95116741665416,0.967817402424611,0.9452325153214709,0.9651503824055849,0.9683472427425359,0.953701590845475,0.968742308728659,0.9667331617507421,0.9680330638478639,0.9647711480732991,0.9757384531736909,0.974039772663157,0.9731816102318679,0.9683107496086191,0.967670321782587,0.8762166859418828,0.867593741231225,0.921517974917621,0.893256378387139,0.937321057743362,0.917237797042899,0.9128135255601451,0.9065444835767099,0.60735064502555,0.488833053424935,0.8065970576526059,0.940910634631501,0.890265623412568,0.896679516734555,0.901749484645223,0.9440532802508649,0.941444652691338,0.828178557283243,0.9659865209455619,0.958821563851925,0.8799972805141499,0.890415015075707,0.81997320566705,0.9265556070418259,0.554224336540967,0.8826280225168079,0.9143361470294191,0.798507719976499,0.5586322581236569,0.8450158510960271,0.5221307717988339,0.865481682740745,0.962159757052441,0.34862604984187295,0.43472186948309494,0.800260447494231,0.8694049155921642,0.24318843455650102,0.0692431427855701,0.45670029682180896,0.360551152609939,0.308391594321606,0.22209716215470102,0.139819505555561,0.5058490258949261,0.041335979710406,0.446999362078191,0.43543380836810297,0.133742140075545,0.0679774399524992,0.069616469407791,0.0585696905463985,0.34097865001744704,0.7433639415311329,0.0391907430801047,0.0606675611532408,0.15739337052248198,0.416893076007833,0.0375253628670655,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+87,88,cg00002597,0.9595446470782609,0.980260184563293,0.959736697305115,0.951668910571411,0.898769754633258,0.9462133538128829,0.9423479491489899,0.9554983008784009,0.933160235708932,0.9130739653090021,0.924125500705598,0.94890482592655,0.9508341894025379,0.925499630104356,0.9330104899446771,0.9015105146194871,0.9273695188378741,0.877828635317821,0.913884113268958,0.9284921271027958,0.9237370753239951,0.958575673393919,0.984853470595955,0.9749283099349609,0.9714206928143921,0.9747059729797891,0.9732779412462741,0.9774762316733001,0.9796223127424779,0.9770270476082841,0.962023478862808,0.946616910492654,0.964381175643695,0.971678344236995,0.936767797465174,0.9399730465304421,0.9720898083458801,0.8259346994302149,0.923571230948153,0.91202135346964,0.9143532882459541,0.9208872782466251,0.902247560364779,0.8388672338375079,0.945470935572783,0.9516085520259949,0.828238050396064,0.9221862961967471,0.9185810416125649,0.931302330298315,0.918935109506986,0.8682428511301379,0.668287983574561,0.9307974054229741,0.8199471225082641,0.860285452205797,0.8293231891256508,0.8943846328408991,0.8457271504882221,0.935028808980491,0.962075990954235,0.9782777547219069,0.9581861227670648,0.940138077031178,0.954488958469065,0.976210332618226,0.9105431693652091,0.940311851787943,0.9311737379222991,0.9012844445202459,0.943077116095869,0.975826249143095,0.963289782320757,0.937643378207067,0.9490700469235059,0.844476430348022,0.886295819925919,0.9175442643835041,0.633172752261189,0.887981947949046,0.9249947516175521,0.963813322312935,0.9401337845794009,0.932920684842221,0.9412287749464351,0.9498594719130009,0.9480882243223689,0.907622051006753,0.924414592379912,0.937800163442254,0.949070048387869,0.9412884447249499,0.9641829390847411,0.956865403048847,0.9048273678408959,0.927293459116768,0.899189664417648,0.9236547908820659,0.9286727242126791,0.908564056795886,0.8865139720485959,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.99840144432528e-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+88,89,cg00002646,0.939270595679595,0.958373633725037,0.913279458445998,0.9331680050726608,0.8917772015774811,0.913834508933794,0.9412311614926892,0.894335447714831,0.92677897388356,0.9269189517515529,0.907625045018356,0.9487673511879491,0.971098352644338,0.945176677707354,0.932907021599003,0.9110736446417479,0.885621294297604,0.925858500093568,0.880881269327948,0.9483882901449129,0.9143078931570808,0.952836318530032,0.94939529840055,0.9409890431160981,0.8945613308355022,0.949938154699915,0.940555059317302,0.9454329118945849,0.96272098951458,0.926651675012687,0.914867273097282,0.928988634283054,0.914377367431174,0.9387121596943009,0.9356953822442651,0.9163643739094479,0.944548881877483,0.8923194182691949,0.917844032182489,0.926212864192065,0.929152259085512,0.900871196203761,0.948948966498619,0.966504806256275,0.9121579094333109,0.9285262707193829,0.954763964514897,0.9349974225011272,0.9054230481152421,0.9260913777651111,0.862998193616323,0.910930945821423,0.904795919035022,0.9053379968761529,0.9638121485083729,0.9738438149535799,0.9625521709102959,0.9683535226095942,0.959199421635977,0.908182769042165,0.9303424841390258,0.922047273054203,0.937438378334919,0.886697309986895,0.8862119360162991,0.9311296768037499,0.9222441450855009,0.891120121490512,0.918314935068976,0.8918523151478491,0.8894887181095559,0.9277793168781021,0.8994135037061172,0.904119541638254,0.9598679463523191,0.9684029212952159,0.8651553272079431,0.960985467530833,0.938275707927271,0.9146083126913759,0.891613375741601,0.89969730266574,0.8485018719142828,0.9432905114944151,0.877309356318375,0.883117769789473,0.88389716344551,0.9222022161444409,0.844247772244859,0.8968995760979259,0.869993976478167,0.9100300200584001,0.9040861232381129,0.918082168042665,0.877467699907898,0.868492311592015,0.8973145617899799,0.871471844143388,0.8159452015186921,0.881859972603905,0.86668426182145,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+89,90,cg00002660,0.0336667577275787,0.0202352877723702,0.032360484911731005,0.0269850276162553,0.028155665548261002,0.0202648912604708,0.0239439426755814,0.025114409866326,0.0134673980658073,0.0197421607426054,0.0151355281559791,0.0204297485253429,0.007347131892953541,0.0145414693192635,0.0201816227080571,0.0150766305872066,0.0207735958373975,0.0119460298884571,0.0236801555294939,0.0165828576796131,0.0210175351325248,0.0115277100935517,0.017171208532972,0.0302561750795064,0.0233482645611797,0.0228341747054295,0.0199911628365774,0.0267612841968168,0.0144765954822567,0.0226126225386759,0.0192458189758997,0.0192589493287081,0.0241415207280629,0.0311991260380324,0.0145134285564333,0.0204694477561364,0.0221843889684191,0.0164355602808843,0.0189108523605064,0.016004159041343002,0.0144794815313202,0.0155811072752565,0.0223964773706524,0.0190683374853013,0.0216269738699643,0.0220748167123025,0.0194899020099678,0.0235139030616691,0.0285479496098617,0.0164782832225122,0.0166342727061247,0.014245753823813,0.0197051464521308,0.0215309614931805,0.016658765093888,0.0244150866718847,0.0207497454713985,0.0144484030091393,0.014735607926602,0.0227976765456255,0.0180136735253544,0.0265441228360905,0.01934286604328,0.0265155212457795,0.0198222953596978,0.0340731145225959,0.0261078028170603,0.0246432918987409,0.0191828614664658,0.0391400220276482,0.0262581252802923,0.0328018732076827,0.0209227658112699,0.0191896983343165,0.0110607209269625,0.0231763925840858,0.0243081277431583,0.0110115789965281,0.0157695748689335,0.0184904577969091,0.0265781160419161,0.0283106825258627,0.0312187991689931,0.0399561236778239,0.018806260531113,0.0209930457281395,0.0243633097232695,0.0233433119345944,0.0288007532448752,0.0218990697871823,0.0233776523456872,0.0295706247708428,0.0278985398881728,0.0119638610218294,0.0225928123948384,0.0250469919689944,0.0198182035301442,0.0204097101267761,0.0215515272514289,0.0218370183917235,0.0159392973442186,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+90,91,cg00002684,0.646595680724617,0.625483164477394,0.6577071738245389,0.647764377109649,0.614628343264609,0.562741547335688,0.650199333642401,0.611937502039667,0.6438978085840029,0.7415688376764521,0.681145365796712,0.7148683769782079,0.632566074458729,0.570395272055327,0.588496350742964,0.6577142486851739,0.631797554634275,0.674046527509207,0.570681309311468,0.6967820515143628,0.6435530236675071,0.874838038378893,0.862580724267798,0.8698378959894821,0.862011139150846,0.882879203684592,0.86179542703096,0.8784941789803259,0.893564460380827,0.8608923502891781,0.8682327105690999,0.8680080739155179,0.8634590929036451,0.879872262999655,0.8410616417867249,0.847783255833119,0.876682226408833,0.8282030888276399,0.8539619310870479,0.8277168547149591,0.8671619857779609,0.873982455801063,0.6613381978976949,0.667237398035759,0.65770882132051,0.585474247207799,0.7346885475332969,0.6245033476604829,0.648290750703014,0.567849127515727,0.44470898123914204,0.48881618451647796,0.576261264965965,0.658231168381862,0.687098429890616,0.7269670885626641,0.792177358920022,0.7495390866124879,0.699271270653953,0.6317386888474681,0.7669821416880491,0.797493113395033,0.72956610462568,0.7210566269599781,0.677521797941754,0.7935848250883549,0.500192381918521,0.7338832311120219,0.793410686521335,0.61179941221949,0.5625523323488281,0.6896624909358778,0.503546736525414,0.702173189251822,0.8493331279828019,0.42357918517812604,0.497452368420373,0.644227647287506,0.732658614215743,0.46361270864448906,0.35028271971835906,0.47459345079813303,0.459198539716332,0.49925533743163397,0.460880348209024,0.35447364625035205,0.489718495469744,0.40211761284302294,0.5136055530081161,0.47488433586249396,0.413655884052081,0.4050633042541871,0.349804577114617,0.387631666769247,0.444680024697484,0.570932798466272,0.37547240220082395,0.41763938038332,0.389951780635512,0.5229322465145879,0.39050263222031706,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+91,92,cg00002719,0.0214125000103838,0.013778260316812,0.0220909373742686,0.0229671017869926,0.0351142586913022,0.0257721052883555,0.0241609153398362,0.0263184552804084,0.0233696230715933,0.0289090448919563,0.0260706912848396,0.0211301561418443,0.0150907521750873,0.0281349397749381,0.0277626043852146,0.0246539238623411,0.0244071914876008,0.0309237919813681,0.0307162199615615,0.0220456888313342,0.0285666141856698,0.0233794369359755,0.0181147570832964,0.0188426751927557,0.0209301923548049,0.0207128288203032,0.0240916429504364,0.0194073119561654,0.0138100682049305,0.021179859989729002,0.022397701044281005,0.0279560316119689,0.0261165938462002,0.0231917837547324,0.026485699686203998,0.0328087690832235,0.020130887198236,0.0337972702551811,0.0297127668620895,0.0294150746661942,0.030137439374067997,0.0297752038205435,0.028752490736563996,0.0368609342144213,0.0245705450706904,0.0241754928547396,0.0257403676488785,0.0260224770179473,0.0261657967305781,0.0287772710079432,0.0285817634790491,0.0314952956831567,0.0540881544144581,0.0266817724339169,0.0287760727459437,0.0269487002093967,0.0287681958900879,0.0281595924184549,0.0278074724352872,0.0395175121734581,0.0230921209300787,0.0195282391735613,0.0263556265063873,0.0317385405603558,0.0274843013977006,0.0259774383415941,0.0397729671627875,0.0310658682246586,0.035179621762856,0.0350997163450312,0.027520837911339,0.0263824026306868,0.0311862266188638,0.034129460390713,0.018737066664526,0.0325565096364528,0.0371527095915539,0.0229028500148222,0.0613470709847697,0.0283083798560883,0.0458620645421806,0.028107333176166,0.032146322749299995,0.037551285479397005,0.0319363949696445,0.0319899058827395,0.0279917564216437,0.0372287476175307,0.0337443172239615,0.0386909866985226,0.0261565407222819,0.036191964862397,0.0254256390644222,0.0290483424320364,0.041936086527382004,0.0307509409867015,0.0404008164448422,0.0392437672674201,0.0313441264394075,0.0309801557535867,0.0284335053426211,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+92,93,cg00002743,0.849209639375145,0.811516864075776,0.8174862491273069,0.8449947938110441,0.7330477512155029,0.6966628927430439,0.7664371558513979,0.751331716308496,0.7735980833186891,0.7009802807119,0.677566533960806,0.7499460867902221,0.78268981216985,0.7535869588890809,0.7742266070269029,0.7805810425168471,0.782464384980802,0.8095991185213521,0.717706187618683,0.8441989936059621,0.788421386524683,0.821064409901462,0.838571091086718,0.8120096078642841,0.815970224433268,0.738929994051612,0.8030177966792091,0.7769372084995609,0.8020197531248291,0.7735984022746579,0.830679472407745,0.782281481138927,0.788093134955322,0.7909887891896079,0.7757916634246701,0.723975819783677,0.7484824011252521,0.8755333092636209,0.764154466722047,0.7490110065105949,0.8207444331521179,0.8373432352245441,0.848226381066389,0.8560806574659541,0.727917818322393,0.7397693323181079,0.860241218609532,0.753395378389444,0.696825921373302,0.849790542730812,0.747167661885367,0.7719902342597941,0.785747452006549,0.8240677401557299,0.8702762123585999,0.78180428557532,0.813819231502349,0.8064346455880369,0.8273913508134879,0.79843728978177,0.867909103051095,0.8493064315634928,0.8820718628011259,0.757330506403024,0.762489878512491,0.7655170779083729,0.774564048094562,0.737524875779105,0.677901869903103,0.7586759512854759,0.780672946467252,0.757539724039236,0.683403178004666,0.71262830674273,0.777721177531527,0.765017259034946,0.8055066629595999,0.7775441857729509,0.9156581840096151,0.798662867848443,0.805929463412185,0.7914750256743459,0.835866072578182,0.8825830479589329,0.7617445347593929,0.7393104466576609,0.7778323634568621,0.82042674380477,0.733221552061778,0.725610490092909,0.7783829947337951,0.780107499951948,0.748615124686027,0.7912046483062841,0.749465682865846,0.692464368399588,0.7353669761376509,0.7621886276738941,0.8143403654294179,0.8247569635316929,0.8593185973327391,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+93,94,cg00002749,0.9517302235106481,0.9742468717000441,0.966939258512734,0.959486706311629,0.896969317092337,0.945451063817732,0.8954167470656159,0.959404943984271,0.9461878695136758,0.9407773664681791,0.8523518355805859,0.954157001086966,0.967273351929248,0.9423491495248809,0.922776048515911,0.932253521401103,0.94643442867577,0.92066119017763,0.9366306789627891,0.851863760451765,0.935540806220703,0.953524221183098,0.9761916973659099,0.9682763445358721,0.9639796920056601,0.962518247119704,0.963820523293937,0.9364958047564609,0.97957374951588,0.974314318735963,0.958216859094677,0.8920021344649741,0.964270923157242,0.9749517940430521,0.936838831819475,0.923832236984218,0.9592739484397701,0.8853166679038829,0.942039795614883,0.9380526061363541,0.773024879556179,0.9409997013318371,0.9137892112347591,0.8362585104760529,0.9499617634358589,0.953234671297798,0.914077529286395,0.9206365938559391,0.837679770460866,0.940462527789303,0.940874073621992,0.882529574745188,0.7571939589946399,0.8855537625365759,0.9258779241741291,0.9356961538324771,0.830224218874958,0.9437045748280659,0.832622835216558,0.9238476109296591,0.9612004318990229,0.9678794498075101,0.9517772770934041,0.934514937113568,0.955518661564819,0.9286104165028191,0.939725190948058,0.9341832705475558,0.9172222685799141,0.7971962726393279,0.947535457595928,0.96856643149372,0.9532003302726669,0.9426422770608058,0.94969287223122,0.9378939685990121,0.9161130164625129,0.9317001206451391,0.568187367224184,0.8972078096086059,0.924621840115444,0.955944963274096,0.944928249613332,0.9263135215564521,0.933127831406784,0.938548493238174,0.8925001390893629,0.9355492961090609,0.9144802650171371,0.9250348408801229,0.9052362776173041,0.9529620094682459,0.9726147127982819,0.959971358519843,0.912875194545673,0.9415136328693721,0.9235940588912029,0.908015408856431,0.931629489199104,0.8431730623864659,0.898070615289062,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00216860973088606,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+94,95,cg00002769,0.881778769564567,0.899418148298016,0.836533883401905,0.869236365385798,0.8899488998963622,0.842169347914186,0.842629642622879,0.8582647043600541,0.880314376016596,0.8625570626800121,0.868828871954231,0.848132519017661,0.931106304666591,0.867960489339829,0.8533832340922929,0.932597579513427,0.907474804409485,0.8710446389483629,0.8185346278532142,0.8809307833811421,0.883019557182863,0.8579487421006959,0.842328799761806,0.84167032993045,0.874943529845835,0.8393219984856991,0.8755794121994641,0.863408082473849,0.88203174093101,0.8296403147583579,0.832947383674958,0.8213572035222879,0.8133880338721171,0.874656845186456,0.8706087442150071,0.833891607329818,0.8236000975817409,0.8911244946075849,0.86595167665699,0.8513066919808209,0.8903288869885742,0.8400853177075229,0.9256887794443691,0.947253925182883,0.8376739527567271,0.9239303170386111,0.9087833307655359,0.92813396069367,0.88155163267837,0.9070284204264649,0.901778315487511,0.907851385001298,0.8910689836912249,0.858499113777926,0.89125614946041,0.89361039172072,0.920268117471343,0.9447991133631758,0.9063452482236058,0.840834527684051,0.9105972720698801,0.861347253595601,0.868340076155779,0.861160262749673,0.8490370819639409,0.871474823454577,0.8726776170458279,0.8391153704517651,0.8194921337128229,0.8639817884417959,0.8686285171210449,0.8536790062210241,0.8637295215305991,0.825848113562721,0.865791367650718,0.9415693889500492,0.889283313006739,0.942247825665092,0.785201767445819,0.9328201261947741,0.8965039516943071,0.828142161255647,0.8169335881214671,0.8925650652914371,0.872743931425359,0.8916245610717081,0.9024876705106899,0.897112825872273,0.86411886450274,0.8740416792900759,0.8888060159032031,0.8815100354192941,0.8758090349527159,0.901276498760957,0.8772300042915699,0.849804312206971,0.868938907163806,0.890046596742568,0.8841148706276479,0.8666431433381421,0.897609572254896,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+95,96,cg00002776,0.942374701441552,0.920396924907978,0.9494202273451109,0.9455225141418159,0.9492606122339681,0.9208964937532241,0.96242321168676,0.800376326220759,0.9235163190016981,0.907318395360373,0.9330651497003609,0.8070148860906521,0.866867078535318,0.8867184098715909,0.9037093652667959,0.9246191594401851,0.944804958011538,0.871056740750284,0.8898394311862908,0.8721718130532041,0.898329807654719,0.0215354268950422,0.0366558807074621,0.0324764137495087,0.0456609625714074,0.0392361900854465,0.0396915908885992,0.0284233875649634,0.0169929779163976,0.0307488881235317,0.0238656175578867,0.0450573815064755,0.0376643252529392,0.0532791059367902,0.0288651683765643,0.0206932341371493,0.0265771997242669,0.0253902853311089,0.0186327982036872,0.0325054631774553,0.0215862025660062,0.0237736500705994,0.901157832499833,0.9641788461955441,0.804707082892966,0.9631990850660209,0.89436964401164,0.9363828155842351,0.927680767522708,0.843294792219011,0.9353424063950642,0.9458280491634141,0.9311910051183342,0.825676500967011,0.8205673309704878,0.828741236366582,0.8654931911636341,0.7659799897203471,0.76542110972948,0.436475174423351,0.24058751887636104,0.24435804700245298,0.334782121956668,0.34458995590044794,0.37082529570060996,0.25758812290975397,0.650377946089119,0.352110374681241,0.16026207996657002,0.530545415759348,0.6701056917742341,0.48897774152569706,0.716420603887891,0.28591219591352696,0.0483745791910247,0.920778235624035,0.8209512984278821,0.29093862012787497,0.279863195848305,0.9013030492272951,0.9596467018409909,0.7050099188274491,0.8350005095774159,0.8902447064606391,0.8600758076629721,0.9253336575856899,0.7402798863687929,0.962567040126563,0.6992927092183,0.712190492097435,0.927645008090357,0.9666107313098121,0.920202992931972,0.926114265964294,0.7215556865563341,0.523654775935646,0.963999837664994,0.9524456922576829,0.8992418629760942,0.734550483560396,0.970868150643093,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+96,97,cg00002780,0.963224120118932,0.981966740792725,0.975528497458331,0.95747014231412,0.9465728484935001,0.9535346599337908,0.934408216841375,0.94606106899112,0.9290608260084949,0.94524696886416,0.951968328537111,0.9478085717363341,0.939542571451641,0.9622736710762221,0.955231847995425,0.944153341686162,0.944258457017163,0.945853159137198,0.9549163711981329,0.9155093888323641,0.949570274594654,0.959877874333567,0.956625446780828,0.965787220811135,0.950714404927275,0.9551037145079351,0.964282901963927,0.958361207106566,0.940245931940902,0.9454073704439799,0.969575116851928,0.9626577401591679,0.945086341544693,0.942619769587146,0.9372038278337601,0.950703231090475,0.958989729869249,0.948025840082272,0.9594354724889359,0.952018935211016,0.9061248722518371,0.9382997642865101,0.948301126601248,0.9473350036274159,0.9549234657462842,0.986437988896938,0.800261139643004,0.963735877513379,0.952600702680787,0.95164711988423,0.9640746126381321,0.9699534889570409,0.9553088446227671,0.948624128435248,0.741103172577347,0.761592686118664,0.748251765281032,0.8927412381074059,0.773558736126052,0.9461600050646031,0.96079102063621,0.9670462521640821,0.971629643282647,0.9551211083825369,0.949158374569016,0.9738377602532579,0.9343308401804571,0.94809531223702,0.962438427351456,0.936986379023961,0.947383225065745,0.9527156806399449,0.968138082025454,0.9642289379493791,0.9711013744530881,0.9928847402738591,0.9547912212136089,0.9658873199332679,0.9766724644737821,0.9738254277439471,0.948376480922412,0.94287616882276,0.97130243474143,0.96116206509331,0.9484382188233371,0.95310599269754,0.929835316712034,0.9198227522118199,0.949206341607852,0.959593412123467,0.9491187212256851,0.934389349480525,0.9499662927447571,0.9224129716706501,0.9496629836089321,0.949486746761698,0.947425227866876,0.954026329059245,0.9500871270268291,0.955579230534755,0.9530262492547099,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+97,98,cg00002808,0.9025929224703241,0.933854146112996,0.88716891031486,0.8939507322501808,0.9411240593332919,0.929996747409523,0.951739041513402,0.912247752576457,0.9655241335164442,0.971038241771294,0.95060547907377,0.979645469343756,0.9805138522860691,0.9277079901872359,0.9399619665193659,0.972209195851565,0.960346120962646,0.983552986111359,0.944243656935854,0.9831718224579209,0.956884777517123,0.9768099084204909,0.9156749385920749,0.9415490090002321,0.9398719605783922,0.9223341189014409,0.947078096816075,0.882332653839453,0.934728271722218,0.905320636735135,0.943732884997669,0.938005885696114,0.9205942175724,0.9187877043815831,0.9473909311755321,0.9634190094430691,0.8825623566290111,0.952823256358038,0.9446446827336921,0.947050979639607,0.96661246532856,0.9296430554432259,0.9786836051590649,0.9830891168460091,0.9570317988843811,0.923193170559157,0.9820716837494621,0.9437052287210491,0.956525167778205,0.953765413151154,0.8568674923349251,0.9629407074428029,0.9641361146267501,0.984497905090455,0.9790363090341809,0.9773604003097071,0.984169179093826,0.98492244562986,0.9828743869790721,0.9718633274566579,0.959511488003475,0.8963640840968069,0.936914120660216,0.972513715249342,0.919744183788458,0.917276001251397,0.966646584447037,0.958181131389816,0.9666879371561421,0.96848684597379,0.9626564870526801,0.9444312815364059,0.962384138453153,0.941023530526118,0.932609757259617,0.9960196217216111,0.97846631357013,0.990156668866106,0.9743549648666691,0.9916083440045591,0.9794924344128192,0.9741029665816919,0.9817666451648891,0.9814810557027459,0.981343743372703,0.986871331229135,0.977186632445953,0.98547755876515,0.979032932605619,0.980150607216878,0.9781396678751659,0.984107199583374,0.9800598054274301,0.984375706020963,0.9737426680929759,0.925242772517373,0.9829754244247081,0.983131994641636,0.976727725575799,0.975367102738791,0.977392119945513,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+98,99,cg00002809,0.9371411675513421,0.9493930635601209,0.902461144527248,0.9525384358826371,0.9330808869619641,0.94039923944905,0.9270332407274351,0.9131504495750999,0.922253664554932,0.8853745093436991,0.9201041477308171,0.9215998160298691,0.9608846041261659,0.932491304417398,0.933132758960052,0.950240549749993,0.9351820639872029,0.9234659000280009,0.888129654859394,0.9399473775128679,0.902043478586268,0.963652490571325,0.9417889830282131,0.910502929623228,0.930003418989494,0.9396222502860999,0.9171458264062071,0.9341994929177959,0.967733192742348,0.9246590176341429,0.9427018306995749,0.9382035911855279,0.9346442660378431,0.9390537775599108,0.9024982165404231,0.911223131467053,0.9237437082765841,0.9011537733965859,0.92261680128816,0.8843342065461071,0.9256922079009872,0.9244310922790079,0.9042659016286642,0.968494257244603,0.930562321703147,0.9589732044481372,0.921172722051499,0.9403536194504921,0.8974104008567428,0.9247533255101609,0.889454495916948,0.9331201262096271,0.9118437053911601,0.919223506508876,0.9365473262479459,0.918591074126832,0.9322282375015849,0.933067121318195,0.920682581675869,0.9015473601215771,0.941788520159956,0.928151135566266,0.9361017270305569,0.9011437819180559,0.9260434717079058,0.939089213710091,0.887775492359677,0.9266014980752749,0.921360377901632,0.927516544840533,0.9185038621653929,0.93596507810516,0.902318013752491,0.8776505642446322,0.938262916659465,0.9430457173078219,0.9088973021037009,0.9511651519431039,0.887440499342165,0.88966265338054,0.9232997966255521,0.922576914219106,0.9032076836036341,0.9392920533044301,0.910306370635978,0.906654287206136,0.8999863457161741,0.9058423498151079,0.891496172533647,0.9405498751097501,0.9116742451815021,0.9172256405726821,0.9449459987412641,0.919903959007271,0.8980717467916329,0.9177185726590631,0.8899393127039209,0.9077128284665659,0.9242931258878722,0.900053805569218,0.9238128411169441,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+99,100,cg00002810,0.0419893528568599,0.0206377297058404,0.0412496537526417,0.0278375655626945,0.0355332218476785,0.0361500189528998,0.0406682316173125,0.0380017779818315,0.0351330469710859,0.0309375974773387,0.0504521427033603,0.0310941252533408,0.0124573049583163,0.0500920408157256,0.0285168072922001,0.0619444441340308,0.0420671566904919,0.0332812640938615,0.0418621284569433,0.0250787589694301,0.0261432165890699,0.0325601993814665,0.0602462976550402,0.0622513766963124,0.0453001206589333,0.0494804409045,0.10088446842019301,0.0374147664621431,0.0311575535091985,0.05748348554885099,0.143826868279014,0.03563886517201,0.0400177114406233,0.0496253311404049,0.039954235337230005,0.0497859279486795,0.0516440308002523,0.046009807375766,0.0623789038299519,0.0578289474744607,0.0717873154080515,0.0485356499100005,0.0393086882080955,0.034018116061869996,0.0486821212353395,0.0262831509611207,0.0344191883270255,0.0379198607811654,0.0515939542842493,0.0447226025403904,0.0346066026672419,0.0320995364964581,0.0506425010758093,0.0401578534794665,0.0300121679959804,0.0327524829111161,0.042103208530100994,0.0340057669223853,0.0407102190217062,0.033964189096006,0.036706149413354,0.0315857372033406,0.0414046767978902,0.0364840083650861,0.0484290224531386,0.0516086808831167,0.0468789164327824,0.0524780824743922,0.047410503975845994,0.0338966636535092,0.0334522715649789,0.0280098077942021,0.0494535298767451,0.0407493318846363,0.0294934470358,0.0334866628801115,0.052824722609043,0.0274264550109494,0.0366700078776677,0.0346147113462008,0.0579229424043123,0.0380309882395734,0.0408593070321838,0.0372508393828438,0.0424191208544984,0.0505037160865435,0.0527632041712891,0.0455277569597192,0.0484306432425358,0.0668893259256463,0.0211122232412718,0.0322504783096472,0.0277661607727119,0.0411210815641264,0.0512684786352131,0.0353852717259836,0.0531105367516755,0.0397551997208977,0.043921317765114994,0.0416530536944026,0.0269734499803528,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+100,101,cg00002837,0.5981665211892769,0.570369617914718,0.5192460320342179,0.591007888061974,0.526449079661389,0.664497511069883,0.5424760862141389,0.578925687856943,0.501324538162608,0.53229936928886,0.524291714877267,0.587223680033616,0.628382959833518,0.571097655443917,0.523427749053884,0.599166583474138,0.601300070356525,0.54584688294671,0.645923008065075,0.584524940293754,0.482411627560519,0.164077099108115,0.26691067023682397,0.387857731651875,0.352604215465976,0.38089228456685603,0.357585439831575,0.25312496721674,0.27795894759100603,0.304228016025051,0.339206520608903,0.295471362849687,0.317268017275931,0.316659409009072,0.241291448615302,0.300578134882969,0.325598378971856,0.219883525012895,0.41321901501083796,0.25875607194816197,0.441454107422878,0.337707462652713,0.6959574153907211,0.568003742313239,0.565914336758324,0.672279827577623,0.711199942075264,0.579718968689046,0.600822762777692,0.555176111799349,0.628406595944604,0.5701016684794841,0.571946931547369,0.5163042998167809,0.7971261785899431,0.73925083020523,0.8173784014183709,0.814145330035952,0.822513315210987,0.31668112287284805,0.2172110389056,0.33113094539869703,0.336761970419154,0.410034597508448,0.319573545957614,0.256468646703437,0.394001662886352,0.344292798342605,0.240129872728538,0.302077932974122,0.401160015452641,0.354901202757641,0.43314370530673796,0.335070554921107,0.241368747410524,0.273935890451024,0.457804821998629,0.202777718847073,0.23420715805699,0.5173822254124311,0.516153500137195,0.46446211357894,0.3670354285084671,0.503151783317721,0.520173337057435,0.501631748075729,0.438534402059048,0.540900664641004,0.393950550322339,0.381529510047455,0.49396358187400297,0.50682611745438,0.495111441143488,0.49512474307990795,0.316424256959601,0.39455146727533297,0.5358996736701099,0.370831684257709,0.49850862254471295,0.413997442258261,0.452572538984933,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+101,102,cg00002907,0.643994744237575,0.567141605182116,0.6234788491268349,0.630740134004991,0.525063212103409,0.528104346512966,0.5567863751117249,0.649886518888164,0.7362117281679341,0.767140321749655,0.484647835311168,0.7643363833930391,0.7796429501760659,0.509388310366931,0.460398715120659,0.7778046188101541,0.53440070748823,0.7890270191873051,0.5020538922650299,0.8035896807909079,0.671149964078459,0.9661653608997579,0.940157263394732,0.91887483710632,0.9546350128904079,0.9396336060711411,0.925768879981492,0.929355821514232,0.937285119434722,0.948734371648435,0.934986562855368,0.9429881224773822,0.941727487224077,0.915991462381638,0.9467003396017609,0.9466252830320071,0.9236523287572959,0.972161518909849,0.9518036929142449,0.9405558003904599,0.957401430231653,0.9284526138496059,0.748367815707388,0.750586318535347,0.6394954746804661,0.546884323976341,0.9164050054996941,0.7265057002563299,0.533572205240079,0.7315262019685569,0.6779077543806801,0.702969272339209,0.603653035254337,0.780893151921987,0.8978901863014209,0.922098609299541,0.90218589895046,0.9152560015096342,0.907536844502485,0.921057699702863,0.949273513894487,0.9091483037853649,0.94654033588184,0.9302747503973601,0.93880248161273,0.9091456342454151,0.9213560633107529,0.9344404885658639,0.94577111960466,0.940411084765701,0.9067938961288091,0.909751533022601,0.8882658958788109,0.9236085034471129,0.96528568888437,0.963004877465319,0.9281697824526441,0.9526867501711899,0.9846971837272159,0.895018571366631,0.8179914383866641,0.8644085416558571,0.8938638924688059,0.90888567910523,0.8845782574610279,0.842255580172503,0.9008099668290781,0.8531267294753921,0.8752708875930331,0.867894648197355,0.848738468955736,0.881283858933895,0.830183907052406,0.86534744030164,0.8783903263180749,0.8966182701261189,0.869293099437381,0.868718702652308,0.852875082217032,0.8811090820559259,0.883901401254683,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+102,103,cg00002926,0.9589799752966021,0.979468347347598,0.97752059652402,0.9557250723555429,0.906631773372343,0.9392591077501941,0.948935009115473,0.965023325305343,0.9458091257919871,0.9302743649207349,0.9350056750503829,0.9612469614490742,0.9443763795500949,0.941593086691228,0.9183004809078009,0.911523269398355,0.9396914696002721,0.9069578373641999,0.920329036508081,0.9499492002102199,0.914878580252244,0.9540290527824491,0.9843624853069459,0.9826371482173349,0.960853656372623,0.974032989934912,0.9754668209724822,0.9792049589741101,0.981441111017193,0.978135766862254,0.9669122967614392,0.960803061574993,0.968696102913246,0.9684129358717259,0.940805513496456,0.926547356329573,0.9504621016885141,0.832670355411253,0.9306954426338241,0.944919090875796,0.9382612080573371,0.9289008343825649,0.8520182873991379,0.83345195153487,0.9505341139027621,0.9473086110164199,0.7950809726043611,0.9288719315276921,0.9192191321610479,0.9328158144523909,0.868619838644961,0.747791978676292,0.626152681923678,0.940536803048892,0.753458163072933,0.8377462835471171,0.798492985575419,0.823415685631371,0.8068621942740741,0.9239533066136261,0.9468652646790541,0.9804704487815699,0.960226837084318,0.94263141435929,0.958950981757561,0.979766016276184,0.9060239242073199,0.943204353098514,0.923505543230914,0.887639070135136,0.949602675953892,0.9805616282292141,0.9604953163060149,0.944779179480125,0.91233102152443,0.899022417583233,0.891651290126503,0.915686960097896,0.607801003388568,0.8813519684273051,0.912150878276879,0.964326220418154,0.944067365411082,0.910304234266623,0.934829441694413,0.953781704361818,0.9463742048974879,0.9434626029836372,0.913285844393785,0.940538751880638,0.965840139913096,0.958149034038557,0.9670179676386359,0.9526172014698979,0.9085918736540459,0.9359912544804398,0.888104008828924,0.897580396420127,0.9418682705196421,0.911041252406339,0.821657243601722,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.18327636156846e-11,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.2334356586384302e-12,0.0,0.0,0.0,0.0,0.0,0.0
+103,104,cg00002930,0.0352048325298128,0.0219128250183929,0.0154342852379093,0.0317734391485682,0.0480806007620506,0.0243158423131633,0.0330338172424215,0.0228954698470738,0.0426183183525248,0.0377029317726469,0.0374294025411996,0.0281939107773264,0.0249928742894872,0.0343867735290889,0.0417425326028571,0.0285394192712149,0.0337453850397084,0.041302763510227006,0.0426622942382207,0.0494784345525137,0.0324602724809985,0.0479227127129237,0.0395549684671571,0.0295032618384086,0.0336452593328866,0.0331540538655926,0.0377653090009064,0.022503000125811003,0.0389942734427315,0.0395157980648563,0.0277638154355958,0.0471775993928155,0.0408129162945324,0.0340734866485545,0.0560883101907973,0.043737167061123,0.0342582702071268,0.044539322333025995,0.0523403806679359,0.0352308388411017,0.0360440705139493,0.030550863505319,0.0383308457645984,0.040928154847891,0.0324260351107586,0.0508932002677125,0.0337755619687026,0.044874355240457,0.0383260311524918,0.0348171748025005,0.0479398384528704,0.0471683145863755,0.0791650257020246,0.0396924821523427,0.0336028879351735,0.0404276161068959,0.0388966898746604,0.04047916488255,0.0567343094684962,0.0580949644987723,0.0280991615589127,0.0242164077172408,0.0239325086087309,0.0354355881355451,0.0388830080162196,0.0392846577143138,0.0759800118141402,0.0479554099803809,0.0448562131848517,0.0817547288678566,0.0438358222824921,0.0498744668830374,0.0299880212997797,0.0472871575901513,0.0395039859083283,0.13111664665670097,0.0441762089901464,0.0311399577281309,0.109985331211905,0.122629207864665,0.0310047472745849,0.0411459729575038,0.0534393734956427,0.0690067404829932,0.0402183935304573,0.0274052204284716,0.0485170193942165,0.0616808524241639,0.062109981871114994,0.056690982324849,0.0401893123082111,0.0404870956193809,0.0223819018745307,0.0313957751800132,0.0593242978597864,0.042705804589153,0.0530503022539868,0.0986272432130005,0.0300399145672728,0.0836386650258713,0.0585513901379588,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+104,105,cg00002934,0.0157299652369707,0.00936471654395665,0.0123843631932036,0.0165986366852318,0.0129868780929818,0.0113919988631407,0.0148118092275563,0.0132333066044962,0.0138950231510775,0.0123552140063843,0.0121015947156226,0.0172111423828906,0.007702958779101509,0.0111167939532755,0.012545053839912999,0.0160727487339266,0.013373943364875,0.0138953062855953,0.013069459293621001,0.0137731075769236,0.0135650946845012,0.00913181110929747,0.0110162918624972,0.00863130922991451,0.0139557858596152,0.0131447379295636,0.0156231083512446,0.0110502734038705,0.0123682257534743,0.0154816962731424,0.0138177587058588,0.0131661460229467,0.0136695815384211,0.0143432022217089,0.0123170690963037,0.0129796643880614,0.012080032816332,0.0102197066403267,0.0129855998948714,0.0120501500116205,0.0110469937326839,0.0100267798511986,0.0441834455233468,0.0129315590107998,0.0114695821501976,0.0179424967499082,0.0242056991725772,0.00871334921342627,0.0118292325143331,0.0126145895000319,0.0227520298310615,0.0171995029309944,0.0777937216209801,0.0104519586881281,0.0234739079644749,0.0374331061078871,0.0130904303163445,0.0520039366402071,0.0353229744142456,0.0111666100139017,0.00950028546223921,0.0142980058778907,0.0107901293629114,0.0127333213752539,0.0151723984491871,0.0138195461536584,0.0190857841614447,0.0120774613690673,0.0124525875590382,0.0110328005412175,0.0142317245990558,0.021082178161908997,0.0172504361381452,0.0129436271291493,0.00665489420103804,0.00795992400143315,0.0106788347476845,0.00766224967286091,0.0115500899109269,0.00739607253560825,0.0267585322343959,0.0164029455717021,0.0168542196714866,0.0247864064464905,0.0168576328582039,0.0229523349778952,0.0203718553500478,0.0185876839629818,0.0138920353780963,0.0118128761246665,0.0163028156056276,0.0235705237902023,0.0186451191472022,0.0155772260832685,0.0170534940412298,0.0125559115049923,0.0221920513033851,0.0119001873155359,0.0211312560140392,0.0116502421493074,0.00979596921574004,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+105,106,cg00002979,0.8730689386269659,0.9480448333307141,0.9381830028224459,0.9222293365242259,0.8187184484126251,0.904679378650735,0.9220046866512379,0.955616389677921,0.888997131065048,0.8905902564720741,0.8747054946257778,0.947012488673709,0.936644452940125,0.8661865649037931,0.8732474572661608,0.814131857926143,0.88251740811664,0.8725973101391099,0.8326408840763231,0.91046070682071,0.898384017725889,0.7734964238427159,0.9753835726449069,0.967801963911713,0.9378185135887891,0.948179755655576,0.9679841797288091,0.974905419534131,0.973009088916514,0.962270033906354,0.9226686952782479,0.9181047951555892,0.9290016336896099,0.958951802236592,0.8900467771986009,0.8739468805280809,0.9137267851698699,0.761720522581999,0.896531615416909,0.880941669213575,0.8804018565284158,0.900891037407047,0.570145196981525,0.532571969005686,0.9115874660519029,0.883020911486465,0.8550035497877909,0.886716030298616,0.857776284595529,0.8742517623405541,0.864128979085282,0.797847319598783,0.50667480050496,0.8896610162566041,0.830944987836833,0.8727231854931841,0.7591089761279809,0.886884609986132,0.826607076727356,0.7031934075874821,0.9022589114134809,0.9749542257348179,0.9334231912211619,0.8865962786222691,0.9259174130185659,0.9662887093860981,0.86905544176203,0.9084719580133821,0.892855591663726,0.825384069055563,0.931362258203864,0.962866792102506,0.9297656998258659,0.9060543172992359,0.7537558165814849,0.6681645518524321,0.8445255751634579,0.879658620747397,0.458846069432637,0.7723584150214661,0.77183056825852,0.9210719612391759,0.907295661040525,0.875446307485331,0.891923245731025,0.9321078188793941,0.890899690233763,0.8648998540564179,0.867523231403623,0.8938165388965279,0.922124264315531,0.9332436898872819,0.9554704624121619,0.9264442492903922,0.8954676373299649,0.8345710008176089,0.8417756448169971,0.816130696564056,0.889796224318178,0.8682797027574821,0.8668763260697692,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0631495683810501e-12,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.95299326477949e-06,9.692578295528158e-09,0.0,0.0,4.7789796020492006e-06,1.1141865208230698e-11,2.5235480372032303e-11,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4388490399142e-12,6.75255433679744e-07,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7370107008882794e-13,0.0,0.0,0.0,0.0,0.0,0.0
+106,107,cg00003009,0.9800407065187869,0.984743446286111,0.980585851920284,0.972656509051883,0.974204083675563,0.9786469141902621,0.973319786667969,0.975274438290236,0.969455276566889,0.9549152620442142,0.975028665231085,0.9599669445573191,0.9828086225681859,0.9657202664005979,0.968821806362939,0.97244124879355,0.9786400927110269,0.9651669601607791,0.9645936407232479,0.9816775980938821,0.975156716784621,0.988168467799484,0.977846716275981,0.9584432678932621,0.969181074151697,0.9798429042600421,0.977421777734604,0.9737787581298759,0.982305444786222,0.9805402993380441,0.9733433588784499,0.979801191493783,0.9818901685625279,0.9818397286150992,0.969980051902689,0.974404388514483,0.9770217402055908,0.966382145137119,0.949900498794141,0.970429363543341,0.9663388205369051,0.968560244363994,0.973296234317157,0.9551874858994259,0.9662881980070509,0.9853667378492929,0.9661609738079769,0.9770030082736221,0.9750155945468859,0.969580493380072,0.971389784572016,0.971610854847856,0.940414460132076,0.9752233254781391,0.964368042782518,0.973906310330379,0.9708862407343459,0.9674857054429151,0.9717470230475709,0.98028674174795,0.99326075987866,0.981624139073408,0.980824934522021,0.980464928049343,0.983828527981463,0.979212264342048,0.9774373282921751,0.978578748584831,0.9834968577697991,0.975130822429405,0.9718616853303051,0.980099630388354,0.978799134007341,0.97642456453687,0.9907594756297501,0.9881269375384879,0.9787205957984421,0.990888586896734,0.970879778695985,0.9839331547919209,0.9744986588743358,0.971826124037001,0.983632886286229,0.9787825587236941,0.9741534082200959,0.981553148731375,0.9752894586241501,0.969076535410208,0.9777163098747641,0.9701738908515021,0.983579408637692,0.982633304914306,0.990718349212417,0.977496422103521,0.9738545809538319,0.977610413837772,0.978223249907234,0.979960258034405,0.976370485846397,0.979173469420196,0.978262581311236,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+107,108,cg00003014,0.9732217649412019,0.987046145592825,0.9818020194618191,0.9842560593426509,0.9845398790411259,0.974080486709444,0.9740167426227759,0.9848317921853359,0.9773337053034731,0.978870407443292,0.9779871530179509,0.9772852613499379,0.981597706870604,0.982186008145391,0.978309427785787,0.9802761588952209,0.9781549810080921,0.9824643740634058,0.963765410627268,0.9800955743939529,0.9764385205476249,0.9881503282415329,0.9743611608737621,0.9809458360231179,0.985659884227043,0.985587328457772,0.9899201390197461,0.9814859086600201,0.9875904013027971,0.9779233345729959,0.9818210693661259,0.980086170572182,0.983980111370961,0.9853963515978259,0.986623928859436,0.983631170242905,0.980311780467505,0.9840288073289201,0.984797248129981,0.981604313097471,0.981700955152843,0.9832631054382109,0.986212542809636,0.9888166551887131,0.972617738974195,0.985739323712093,0.9807167330934,0.980882305590283,0.9760156397706109,0.983593333571634,0.9544053055394208,0.960149509811462,0.9682344504703551,0.9803751589751459,0.9689892285457259,0.9700148304249542,0.9742524882525091,0.9573521042981609,0.9821212034734,0.972637805563258,0.991636699519522,0.982518673449869,0.9844267424461379,0.9832156874994621,0.9846645804236999,0.9868695562576729,0.959031119481473,0.980605266317748,0.9785039670201958,0.9745432435874,0.979521447728841,0.980742571534205,0.967110149817667,0.982006659449869,0.988176979525406,0.981718987816585,0.982817914429503,0.990344180219334,0.986471229913543,0.982087741617688,0.976181012704989,0.9786529749584458,0.9727378771223492,0.973815009447265,0.971978818343115,0.979750324441303,0.965007845962362,0.979914383606586,0.971478478749411,0.9744330583179441,0.9773364448023921,0.965520036419718,0.9727092731259841,0.972080870707092,0.9732249508383921,0.981244904207558,0.9725267890921558,0.973871738620387,0.976463265472202,0.977034023098534,0.9713986890291222,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+108,109,cg00003036,0.0195362712044355,0.00984660015915184,0.0142958364290559,0.0146507786397787,0.0177926579035844,0.0182074575849526,0.0185285506391594,0.0294102243768402,0.0178366632755448,0.0218833529875532,0.0216620805289697,0.0210548954788195,0.0151029894229054,0.014947203244905002,0.0250118387893534,0.0117517404794891,0.0191453140639553,0.0181876206803091,0.0189965432878571,0.0178424504642793,0.015366646748508999,0.0310349249986612,0.0351653766714997,0.0402286169323346,0.0486065059497663,0.0276402289067786,0.0667779100569833,0.0438895754652314,0.0294490474003838,0.0581039816276677,0.031160315231989,0.0209921427422217,0.0376470645001664,0.0508589717267994,0.0396625136446415,0.0309185255569414,0.0507595783039769,0.0410524160046767,0.0432407652213036,0.0612594566731807,0.0349129014101062,0.0272367478417298,0.0197664859008616,0.0132342133889934,0.0279744106304671,0.0164771188374974,0.0144495262213413,0.0163822998152338,0.0278423526773032,0.0168048501029534,0.0200365482640789,0.0137350989730055,0.0138862340583826,0.0196642699292704,0.0183459936143831,0.0164479447605261,0.0217179989304687,0.0166744598157913,0.0183243113413398,0.0428263079126738,0.0159009046374989,0.0298201727052921,0.0530717333968204,0.0332127683681294,0.0664755560307385,0.0569757153837829,0.0389536672471894,0.0353403895473736,0.0369023363987605,0.0313994852501421,0.0219282920575932,0.0531722742929768,0.0624806053751955,0.0450692882969691,0.021655735004667002,0.0300467583007689,0.0218425753852704,0.0286795603938407,0.0245379372272411,0.0152530700760221,0.0814611587314402,0.0562531440201975,0.0221721690629849,0.0615280543050334,0.0532169729107704,0.0456737029983357,0.0540940901600591,0.0414805677273443,0.0336229179894014,0.038433126740936005,0.0147650460040007,0.0319383723035208,0.0192963470027123,0.0377033491714882,0.057360725340769005,0.0565087045921817,0.0789146585569591,0.029430287762237006,0.0432754786777491,0.0341304356776742,0.0133751106030586,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+109,110,cg00003091,0.0577818472802267,0.0423123870132929,0.0668962059999779,0.104015334541905,0.0594801250483982,0.0883336827573104,0.102605598330066,0.0643060965522254,0.11367871835040501,0.0628287134202802,0.052255653583653,0.0483694009789395,0.0648229825731228,0.0549213890817379,0.0687049853441164,0.0690236342408612,0.0649976745249491,0.0931497738730099,0.0607793269498559,0.0651254933657682,0.0897919004820626,0.00700618072335532,0.0162130737868454,0.0130488119681748,0.0156381286382549,0.0138511902635168,0.0241710207200217,0.0167366772939283,0.0159086375524159,0.0141309753862379,0.0174394045271827,0.0208691682738842,0.015275731916148998,0.0105256147912513,0.0203032215979857,0.0258807379449285,0.0148736029608647,0.0160900824063096,0.0220221339733987,0.0198874958164738,0.0167232717613947,0.0136370365198494,0.0688956088489714,0.10476423965558,0.0496151527483106,0.0894981779712159,0.16537866384551997,0.0397019003662282,0.0583327833975604,0.0555917174691063,0.0742902226381637,0.10709212661074499,0.0465992369499512,0.0516014042736045,0.17754827939183898,0.151103583812572,0.110587339407041,0.21995681125612,0.131802988280054,0.0196245473217889,0.0100946020093871,0.0149129435185933,0.0124982988606288,0.016864110417716002,0.0191866305165501,0.0163292830533767,0.0133600742813851,0.0322620552404357,0.0174660938590452,0.0154135718972577,0.0149709581017188,0.0159833329090452,0.0231888988766689,0.019130123575596,0.00988805903161417,0.007104083348056771,0.0142950000327839,0.0127762554162268,0.0162568442576787,0.00665660050755633,0.0203521559160383,0.0196566791535852,0.0161387524332289,0.012143692244751002,0.0169060834108897,0.0144234521895874,0.0143999779473118,0.0186570678684432,0.016601482473186,0.0255882641755478,0.0126711574255859,0.0142685620588516,0.0077418203745856,0.0117589896627711,0.0244076433905018,0.0163600960707958,0.0194088301508304,0.0167440161544986,0.0163657985583231,0.0191371186657328,0.00933657101480386,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+110,111,cg00003167,0.6745181239550239,0.67501801797548,0.726883986277862,0.7043257087485459,0.645446950861422,0.648851743875263,0.699172967281222,0.724478458558576,0.740375566289972,0.7754854370685509,0.731835278748093,0.7859252021092221,0.789939897844502,0.5960401972890059,0.58732144957783,0.6894817718019011,0.6664670324957579,0.7924342390691279,0.6333264630652211,0.778878494261923,0.74933164563718,0.980850749468312,0.9669411712272191,0.9799738284420749,0.976335915599692,0.9807519242549371,0.9828751729682671,0.9804206394039591,0.985345149175466,0.99085436485589,0.982470075043173,0.985085745775491,0.974889025707049,0.9801116126479691,0.9754503756358671,0.973786632889149,0.9828089728729928,0.976650731810886,0.9711178817711461,0.9767703020763421,0.9863258824828119,0.9791279314719871,0.7992915755811251,0.7201876471230909,0.7268023544524449,0.6643475477284979,0.901301163884977,0.7052695812787501,0.725428907069672,0.6898288837419381,0.34520237120618896,0.441364783049274,0.516316557320601,0.6928807819875601,0.89440913972573,0.9521365273739709,0.93615133079649,0.869872863610635,0.9422370298344142,0.9766992220889961,0.98810393226235,0.986372847560013,0.975242704192518,0.970333795024379,0.985956685259085,0.9889706862040558,0.980142504454495,0.971072841063074,0.9736562268163911,0.9732723201755291,0.982418540818319,0.9872356594406,0.9700224435097501,0.980262462650277,0.9883018644375541,0.9939898955866151,0.98546257814253,0.99201522078386,0.9832780869939021,0.98723029139764,0.9639679485079359,0.970388796035442,0.978135335119673,0.970133426070443,0.9777524695928059,0.9781187584443609,0.980489756695355,0.9757251651266908,0.9724628730332141,0.9747179303852909,0.9746769988438041,0.9730446072908739,0.9704253400672659,0.967727871292601,0.9693817532514991,0.978341993734218,0.971909223892425,0.968013926632386,0.9694144362607059,0.9779964412759391,0.9701146006412209,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+111,112,cg00003173,0.0185777963758042,0.0492182532379483,0.0421700853030079,0.0188351648842575,0.034641242881202,0.0363726716461049,0.0533327539713377,0.0270396719660478,0.0304740869987021,0.037833234765407,0.0500952079616941,0.0343229829877814,0.0146357123149866,0.0339229255092837,0.0296486788074294,0.0256448250634227,0.0294173912279441,0.0264893824609493,0.034819268622311,0.0309118801643399,0.0314806139381187,0.0285197896155009,0.0353974594928402,0.0441859063211208,0.0404214118254926,0.0285428976096047,0.0565295235610718,0.0551104579122094,0.0363296155577707,0.0387768013800941,0.0395572748505121,0.035660351965521,0.0439809072313088,0.0551077323719603,0.0417648295612915,0.04473939824427299,0.0300013415113498,0.0258042467170182,0.0297471326867944,0.0439372852363977,0.0275213315527676,0.0439773563154906,0.0210997646456946,0.0128800255213461,0.0266502174924457,0.0310873414793351,0.0209736270524518,0.0355102350341037,0.0503398481291772,0.0230601708312983,0.035477251994377,0.0239779450111405,0.0340865854266932,0.02750410575273,0.0364909801472614,0.0442578081961127,0.0587699685654856,0.0442517304530594,0.0292454019622447,0.0287582742743213,0.0256260740494674,0.0299723998676671,0.0413855074207771,0.0483238834324757,0.0399167747722839,0.0974326299715712,0.0412780547593902,0.0422041639104012,0.0567921652179555,0.046615445067135004,0.0568091867563375,0.0570256066698804,0.0641884203219933,0.0473354475732976,0.0177638610117561,0.0330753116807339,0.0450938354601951,0.0202544602914518,0.0268056353331328,0.0260635642725447,0.0206181395232266,0.0317645091962636,0.0324072189244692,0.036899881880453,0.0322308517857057,0.0304186693873364,0.0330687559052627,0.0441505103056592,0.048250848099032004,0.0484353328149638,0.0503850289600296,0.030869578651592004,0.0315644565562845,0.0268694347820283,0.0384685186365937,0.0473464968691718,0.0438302174943166,0.0523396180098898,0.0272624329798111,0.04169975288443,0.0174485076617065,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+112,113,cg00003181,0.7897717271669058,0.779595380086458,0.708187032623259,0.7907765288354089,0.715606434248975,0.653881765738571,0.744974389930516,0.7915207051319059,0.7396467217532461,0.8426180190812009,0.672220991976569,0.8519669858769201,0.784845770450705,0.609284792073028,0.620650170669408,0.8557870193850291,0.7442648913597422,0.9029032920242029,0.6999417402596579,0.829522442501267,0.7182639195220492,0.9788941517613501,0.93217758367133,0.9101269039013891,0.9591375332766491,0.9298753069733929,0.942358823371685,0.912306359823051,0.9656334508210179,0.935935656913217,0.9501645432868192,0.965319258750119,0.9629589031659851,0.9447764320429329,0.9289803332792971,0.9279521280123821,0.933741554657618,0.938920211273178,0.9506490186514179,0.918554325771056,0.94653427713174,0.9497052897775191,0.865041877263598,0.899464906258976,0.5920750159608729,0.8279672112397769,0.936454110447295,0.8233446746813209,0.7692640999417659,0.8266587149614071,0.8763696810452479,0.812713192231984,0.7843225853201221,0.8637618647820949,0.927914807644234,0.9217326628859341,0.946903501423066,0.860206437625422,0.913466969355917,0.8281761206200648,0.959188159965072,0.891902663419355,0.889665960156485,0.893047629356432,0.8568008085954,0.922737978753007,0.7181545743332091,0.8565830267865879,0.9167729903071921,0.79724819972262,0.76037055616844,0.816043144653878,0.6631236218237809,0.9258490902092109,0.9139415252171691,0.678764233411959,0.73109944828597,0.881993634180151,0.900358043626554,0.6266413990939829,0.464504114905541,0.6875927075634339,0.643232867738848,0.6873353120775401,0.577937774614564,0.5582731839292819,0.715967903773042,0.632734022499964,0.6636642129304721,0.6418581196664599,0.545841259542458,0.6311786277277,0.43533207378116295,0.45679423903786703,0.6135086468339169,0.769688294469379,0.455003971708418,0.5144800472217771,0.557569307674289,0.653388321429799,0.46042176280294395,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+113,114,cg00003202,0.0138913809528735,0.00990305465166165,0.0132168522257525,0.0147474740317897,0.0147049411123415,0.0166096961956082,0.0143918145776402,0.0165092630730404,0.0143999635647523,0.0177034839620384,0.0185903840926443,0.0143197013170214,0.00728972218415053,0.0128665231511369,0.0162069061599869,0.0144131121100956,0.0148259889666476,0.0150051311863373,0.0160054903309011,0.0130837847785562,0.0158751013694578,0.0130144596102703,0.0125618318788637,0.0145596060132887,0.0130523476744359,0.0146714923553602,0.0117604298098495,0.0137122739067519,0.0117612736888785,0.0132762999357408,0.0162102038901844,0.0148195106374661,0.0165330710182083,0.013475453905574,0.0175061897359118,0.0181788811868921,0.015484609416827,0.0156363861243968,0.015146454421641,0.0187829074083174,0.0167359061363658,0.0135915099377162,0.0144314503082266,0.0125391892887698,0.014397641452613,0.0123443266232509,0.0138109748405301,0.0110989132098999,0.016059976498261002,0.0134223968801396,0.01543651116896,0.0165526320646533,0.0168909610973518,0.0145649211725948,0.0160396063396198,0.0162207468911888,0.013727762420637,0.0152012757525059,0.0146318256812147,0.0155191064673857,0.0116099692457361,0.0123072922275366,0.0138910680135341,0.0140565860292713,0.0147757854447628,0.0183365716164744,0.0147500714606442,0.0186514324208985,0.0182218233299272,0.0174685432378288,0.015252353208683999,0.0158628975049846,0.0166858945614519,0.016481898062621,0.0101529579955791,0.008291541420072709,0.01500660201005,0.008555468380377091,0.014063841320366,0.009746141896116159,0.0155861310814666,0.0153389725596178,0.0172161397552833,0.017061253941363,0.0158708648006183,0.0154397171719989,0.0150533306904819,0.0161126505703091,0.0228744778468233,0.0171172532120742,0.0159142010997271,0.0163409767017899,0.0105712133271177,0.0103226369398433,0.0160908091516581,0.0155805830542457,0.0181481462066553,0.0153922165740842,0.0160367497464519,0.0162370712978094,0.0112968940919206,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+114,115,cg00003241,0.936828420506511,0.929042366026251,0.9409562867258091,0.930668873220616,0.8942322507634209,0.9473334889230419,0.8597761633946709,0.89175764066025,0.83047643245867,0.887472597149879,0.91446779763566,0.8919978828160909,0.8812821114005992,0.8983160033125591,0.9077357527972428,0.8487363182161429,0.918572231379157,0.7673711480567579,0.896995136639445,0.8545385257516139,0.895454891509625,0.8225665603377611,0.746121537121741,0.7731179970658779,0.725112136693911,0.8370013248816891,0.805826915160798,0.7221294486877909,0.786056806847489,0.67262930498318,0.7921398348603979,0.812785037850139,0.684885502832852,0.776044944227198,0.7717236670646199,0.718263887407593,0.7337276098386858,0.703215285061395,0.700913858785771,0.7477913846752858,0.6969978061948701,0.813740520351255,0.8804844600026109,0.8879637982824209,0.93176852041901,0.946863743332848,0.8510515449386179,0.9306707503223092,0.9234464155212042,0.9011501807621161,0.516720529547133,0.6642905563486989,0.768897646269425,0.873193743706384,0.34546588255167104,0.607036836239076,0.528968307644564,0.53366607285074,0.5667603559122071,0.8334353723911941,0.715251663761463,0.6699070819674019,0.733238705870049,0.7713101347030831,0.8356982451377819,0.739099639396173,0.747368139380093,0.6913867636832429,0.7294088780667,0.736745260264151,0.733766837140197,0.724512568933057,0.7135655085335579,0.7563341311175309,0.71467936991547,0.7589522350779558,0.650945372296411,0.748430095594938,0.6224323874232099,0.500545251482345,0.630717808404751,0.6768508806685439,0.571662242450389,0.619051469798614,0.72504943901186,0.596495395817603,0.6764425614987271,0.6693337271352989,0.647112738805348,0.683743359390224,0.547339629393597,0.7632844525454492,0.504610938214221,0.623131872307296,0.60148936596664,0.7125524248188899,0.6055843314799411,0.616565192363302,0.5635006563636371,0.6239734563174051,0.487564597551099,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+115,116,cg00003266,0.8843855298777551,0.94575043909425,0.905040633354975,0.9334187982222991,0.890978714657985,0.908867945936648,0.9006338585431999,0.887719797690426,0.8639031498863872,0.927313640417875,0.915938734645213,0.92349630522643,0.927190184095442,0.9358126590337941,0.917249139378962,0.9100176421400359,0.893278466150032,0.8656691801988899,0.884051462994765,0.928982933960854,0.861782682735697,0.9704535073130809,0.978028409064953,0.969876609373244,0.939914021128085,0.9656209845330741,0.9553350343295731,0.9477881959942851,0.9636135702629691,0.9576140756226121,0.961311148344557,0.9412465126161059,0.966112136093825,0.930821990919599,0.9356359246058421,0.9490198023369331,0.975737592996294,0.885504217864515,0.94512339915886,0.943497316176054,0.951435278502801,0.930270526014218,0.881943352158306,0.8623652121181129,0.877525218996024,0.9150845501061758,0.8091326368487171,0.9114236668331669,0.885013686353583,0.822423358451952,0.7720123024206971,0.8318856243646691,0.671163468019448,0.894287955950332,0.630318136592104,0.8102054723812808,0.7655381426527751,0.8482805066517609,0.824632396659725,0.9408303617936701,0.973417643665187,0.959674214421701,0.961823752490149,0.9465990551150559,0.949290251611938,0.936202372308061,0.931818643681847,0.948187306298445,0.9432872485164989,0.921219668477333,0.9512460749502181,0.9678500054987709,0.963505521452893,0.9503387999467809,0.963696931573201,0.9542035007640749,0.932864959836318,0.9603321255894279,0.7826113093478471,0.944677697522463,0.951498019112165,0.942426089434305,0.963084345629143,0.9410562568676479,0.943976400765277,0.960022435234312,0.9460133212566,0.9268080593082209,0.944004503733242,0.9520550042105491,0.955881619302382,0.9532778762410821,0.9730735450575501,0.9730701591540469,0.949862962978117,0.951235350428139,0.9364347328063058,0.9366162525413578,0.9542835344811651,0.950078039436408,0.9026337071153249,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+116,117,cg00003287,0.31373924648901697,0.28609364859478004,0.269814067664688,0.32522717309196003,0.18999562528304503,0.184631271207396,0.295952536557477,0.25841799788101105,0.29599013970374605,0.28944571468465397,0.24591934725419498,0.3645475422612271,0.24450666860047304,0.24011721948649,0.24918305703576502,0.311378294395028,0.28991241026776,0.334793157556913,0.22365377200687195,0.28519788425721304,0.24772787275866198,0.170035555884652,0.22808606995991604,0.126129059267828,0.191163235150349,0.146885969951206,0.189356629935072,0.186549359827067,0.136461776469975,0.174075033516499,0.15395060724163298,0.198479350692112,0.139226491605829,0.198511900443665,0.16796027979276698,0.125174311071445,0.198965722711537,0.133156459651492,0.11711041250120699,0.10013309437402601,0.16911158831474804,0.12756592403457098,0.42135723142842607,0.284920553635387,0.248086441747677,0.291110513375757,0.457852272420984,0.254645278491316,0.31802611355087,0.23150041875310398,0.17189277546112303,0.18822701045653897,0.268162175694874,0.285751654065866,0.489302976857488,0.539673478472662,0.554972248828965,0.495158157439992,0.5043224753464111,0.150282622098633,0.16375873730573,0.15283515819083898,0.166259140738409,0.115754322083333,0.15492711996599698,0.198649556378964,0.0954605504484235,0.116389472603254,0.13995759467690197,0.12420476320579801,0.14201276222547501,0.0783118664902355,0.11828802524758801,0.134905357230991,0.13523937623568802,0.0377829500351424,0.0668725003102596,0.0454557668019633,0.068190294067643,0.0186908905835578,0.14356118025723402,0.198870172790734,0.150745755823695,0.170251894290335,0.14184733583297304,0.15412857503381,0.13979063300753197,0.13892709846243,0.12595544181127197,0.11152186467475901,0.134690663003514,0.11358702451307001,0.11409040532569399,0.136073800630744,0.127975516528971,0.18070173336620104,0.19641737744323604,0.11689484540463699,0.149694052261171,0.13582642727916802,0.0435526886686863,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+117,118,cg00003298,0.0279479782464429,0.0192818243240816,0.0312170012941716,0.021581824315673997,0.0437027628437821,0.0321022676108,0.117170699798919,0.0270371133504338,0.046274116814267005,0.023959521440682998,0.0320693064151541,0.0563203139042713,0.0164904714168296,0.0360576548130722,0.0282785173236725,0.0279439189187155,0.2337817127238,0.14502331264404,0.0277220311944219,0.0580719501642341,0.030872226182610003,0.0186761341022799,0.0198634765515666,0.0215730291158668,0.0218370459206704,0.0187558787323099,0.0231908128451494,0.0201361651075273,0.0177676479287089,0.0236553572330597,0.0247619067780474,0.0211226986445095,0.0185567913779054,0.020750141289172,0.0274160178984763,0.0276181081871081,0.0203327376253701,0.0211309141289172,0.0249248673739452,0.0258428732529773,0.0212275630858105,0.0231071664551894,0.0236042064863728,0.0156503164672221,0.0464104376485868,0.0443597773146843,0.0975180095044084,0.0257578422977186,0.0621244530518281,0.0273373971859504,0.0325923393402877,0.0201578010626056,0.0244873560390196,0.032202846345026,0.0559894150621044,0.0396625164187738,0.0315595542481658,0.0424758977275694,0.0384101230117056,0.0255705432939804,0.0175333010302591,0.0162509667577072,0.0245874635893497,0.0235135190608163,0.0230462404669361,0.0241546281634895,0.0254824199311052,0.0283206813324798,0.0249179362257315,0.0253838894296897,0.0277259279110213,0.0260178941819262,0.0307076695440742,0.0255523118846467,0.0149090370287399,0.0170920029014332,0.0335835015316661,0.0147046588698391,0.0238814396548399,0.0164953769612987,0.0265628320998472,0.0250250714834046,0.0220035948759068,0.0236682081084057,0.0269234772207649,0.0210526155975275,0.0251519571379812,0.0226697711068914,0.0272336308887253,0.024044358991448,0.0199125435877669,0.0209418816411962,0.0200292028923695,0.0225402926955107,0.025389306649383,0.0334869222314527,0.0287390999402979,0.0264852992211794,0.0287996888707513,0.0267639077635062,0.0175001277931259,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+118,119,cg00003305,0.12197878595357699,0.0579035682623708,0.0468445882035057,0.10564247582651598,0.11309680992895299,0.0819699912476954,0.0460750429442066,0.0691973433781536,0.0640332076303941,0.0689246021795116,0.0718633313084076,0.13231937123987803,0.0642106290375398,0.0705030108917855,0.0626675975142049,0.0980082446223767,0.0488413070768086,0.0472239847111232,0.0542421628658378,0.0677310908348706,0.0886676390359042,0.0864819206234386,0.0774067884627503,0.0892049888642982,0.0926654887233294,0.0689581187825102,0.14621762907626598,0.0870206728444295,0.0550386741204193,0.0537795059335368,0.0976032504290132,0.10101660555003399,0.0703520244518385,0.0636829210813011,0.0609236119052663,0.0696303053798445,0.0780370512623838,0.103894927577429,0.09827292370040899,0.0671312390199245,0.0764104627375035,0.0605819800407348,0.105243579272262,0.17651282726941803,0.0591093341794495,0.15998704156685,0.0510170645784707,0.145627258590829,0.0651166943780166,0.084423290407097,0.0593510065835681,0.11228793528692899,0.12375981944629302,0.0705290596115531,0.0478518237247062,0.0774624806480742,0.12407096895625301,0.0470298505124772,0.0542940399752412,0.130246137196803,0.0479680016806519,0.0453743829453529,0.0988572755173245,0.0877103152809468,0.0716080584398484,0.0851017014338654,0.166357696612169,0.0788616119397835,0.0947829824265435,0.132291709197013,0.0720238355907034,0.0706439579475543,0.0568038597445224,0.0635533875044277,0.0924033027016786,0.10734186586574601,0.0854094253594761,0.0453263068919233,0.129965386078272,0.26572251347271497,0.114711776918869,0.0526808877472367,0.0864616147136063,0.245357927546663,0.138093742215079,0.0571722422262488,0.0846862855722711,0.0737558117530492,0.0770634093031555,0.0605844532256629,0.0557846849692081,0.0577888329536235,0.082779616625022,0.036430841947009004,0.112976941552511,0.0700097923977014,0.10221893602028201,0.0721234136593732,0.0516596746510469,0.0992709849778705,0.0588049849415726,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.75082170983387e-13,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+119,120,cg00003345,0.6753072234301659,0.6974071998916771,0.7073726355151999,0.709024130738546,0.631635480662312,0.623702681126587,0.6980723541743199,0.6529770605135079,0.618672514590724,0.693427847265103,0.6931714954725021,0.678115759402224,0.6568415843636121,0.577891019266322,0.575810616302361,0.6232209355560251,0.633791302590479,0.5713147084259971,0.5844573499053771,0.664756955142452,0.5993784987426422,0.642515633676187,0.7588557455100501,0.764867426548647,0.631510966276605,0.717693276639611,0.727047306976179,0.723813897333795,0.764754509481428,0.767621012172175,0.6994449229310821,0.733716814611278,0.702737176199427,0.6803231925650971,0.5993862669548721,0.5874152329738821,0.6709515953622459,0.5596750882685789,0.685094331650958,0.642272057205147,0.6430479294010839,0.699946254910537,0.6939585639659169,0.627097938953148,0.646863937906189,0.6553579140610301,0.7530643253568271,0.5763141724525639,0.659044156565799,0.548835274118981,0.5926652417581539,0.533368937269796,0.530427243702519,0.621662410233588,0.887410254901703,0.936926845747755,0.9543170605423861,0.9311397627625251,0.8815084354827242,0.498834971583844,0.573303018907349,0.687232158971511,0.59096402336117,0.582874930277335,0.55656729271151,0.668027479531792,0.393480760538098,0.5907477698969179,0.621857564330151,0.47136550062111204,0.41656791870680804,0.600104347459319,0.38075819997523397,0.5268551170141289,0.618261116220161,0.26416668322495,0.29682398450570097,0.480345036437584,0.481930345656683,0.204655373919413,0.0779728927842374,0.38618195046868703,0.330306800471354,0.266631122576008,0.278721243833211,0.157774449530199,0.378379494901441,0.0610064444467502,0.383900427070693,0.37027151126700997,0.166182142928483,0.0941763525144766,0.0848342743468325,0.0898416530740855,0.307598099143295,0.447209229972749,0.0486788455992768,0.0748663137883397,0.16493610859827998,0.377205732027909,0.0428915107453394,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+120,121,cg00003407,0.0275107926052952,0.0198675058667495,0.0269408995555868,0.0235918568544535,0.0279157003864875,0.0300634962422666,0.0392518384626174,0.0374066266188451,0.022962975630638,0.0227815735206857,0.0205054040284375,0.024846327112502006,0.0218372393579841,0.0239391659157522,0.0182426593366618,0.0236674541901047,0.0230804155696113,0.0227767895880318,0.0269389348099545,0.0149014267335732,0.0189612879955702,0.0227971360282174,0.0337014825556098,0.0288042883653745,0.0141762411075346,0.0321497390268374,0.0429624359429236,0.0229086416787875,0.0196197870343108,0.0172462252252252,0.0202361870241818,0.0199057724992472,0.0228664617541682,0.0339399870052849,0.0307399704829888,0.0213317362202102,0.0182769428706229,0.024304751844494,0.0289351477511468,0.0207681894411618,0.0228390294258928,0.0287667622917054,0.0242255177008881,0.0192003476091357,0.0216828099383741,0.0350757920981934,0.0153868154972759,0.0152259089773495,0.030700985663378998,0.0223008592551183,0.0250054866336908,0.025701231704944,0.0294535863930663,0.0203547419458538,0.0186061482634783,0.0318741212919874,0.0223477578178274,0.0260012349903338,0.0199624395146845,0.0235246877619343,0.0173881091128172,0.0313411096323478,0.0172184984847931,0.0246137269045952,0.0270120296354431,0.0278771341318033,0.0190490745138178,0.042775261175597004,0.0207230701519316,0.0286347750676824,0.0283480273530598,0.0203280586492708,0.0260476802843553,0.0231184696806777,0.014141019315916,0.00981700778390762,0.0169075215017979,0.0160338047538964,0.0255894159052168,0.012110093165257,0.0321921688340073,0.0321402358877702,0.0300623542184433,0.0267904026019584,0.0349199427564043,0.0328365745301589,0.0287554188704207,0.0156507721920364,0.0246260311436934,0.0239098418659102,0.0234066996944214,0.0257831494269013,0.0162843803136414,0.0129854146108206,0.0227162997422222,0.0232675748724549,0.023758518319564,0.0251938186001361,0.0258722935930471,0.021468144277684,0.0154207594784859,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+121,122,cg00003432,0.9469784576906141,0.9744991510706908,0.945330968333861,0.950241892645783,0.9443898243036891,0.9482062044946981,0.9320840180535391,0.9492650679147321,0.940945591129234,0.9712855900794871,0.953005687983845,0.9767433556544749,0.961025440558032,0.9391343248908921,0.958542312136667,0.9577853024808,0.942303616514755,0.9685244884992349,0.9412058634510521,0.9755582906867201,0.955128919884845,0.9758845017923079,0.9639926076056379,0.9593206172995471,0.9515798889032621,0.9547019866124391,0.9438911341641549,0.9725188763230741,0.961419139208714,0.9705981617078809,0.946853129319945,0.9705445933846291,0.969699296514976,0.9748565270288171,0.9679387667758951,0.956763893449941,0.9717101749098019,0.9807815889391128,0.9728525798725269,0.967695687944956,0.959526969367088,0.9728420255117529,0.9789007800299171,0.978645761757597,0.9638801355917109,0.941777625368782,0.8525769716993509,0.9741548698288609,0.949079968456821,0.9489356565455429,0.957261768915518,0.972405271553365,0.9696524740038879,0.9596263524130421,0.8819217290356991,0.8989141024291558,0.936452040861922,0.90271850946128,0.9552030382358001,0.973544037455049,0.975863464145002,0.9670886596102192,0.978247319947332,0.9772263838576309,0.957092167589131,0.9646296016906509,0.9807997636141992,0.964393997356175,0.9671356795026851,0.9865674196891451,0.956249165070445,0.9623973026679019,0.955922386141355,0.9804284760929309,0.976952141511622,0.9937756659092,0.9799524226665028,0.9926448159636341,0.96641042387456,0.996521106460193,0.977926204018314,0.979265207622026,0.9796438376905009,0.985023269797525,0.9703134670554179,0.961407212636807,0.975006983584686,0.9709607208452951,0.9712883030679891,0.9731783253354351,0.975209037535698,0.9785811840627621,0.972599251223962,0.975104146640435,0.9723234583509549,0.984746256327659,0.982130986036795,0.981633359778394,0.969935123316866,0.977340142356511,0.980775517998819,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+122,123,cg00003513,0.9865747216405321,0.993052018385232,0.981945110849632,0.980744656304117,0.9762195697422791,0.983531365663622,0.9862526702005409,0.9828837174371059,0.982030778111355,0.982206144919263,0.9801225453846021,0.979763302644323,0.9890541395629759,0.987142854787164,0.9794650180302671,0.9855463529244151,0.9754305697088841,0.981913702211068,0.976628409925638,0.9786973919334151,0.984513551199627,0.9870452031366949,0.981394894228163,0.975041989675495,0.9766441195649479,0.972109699987925,0.9714297331100792,0.9793416008401892,0.985313165453465,0.977481372374727,0.9824296424928171,0.972849536394621,0.973202740371934,0.9778388928953721,0.973819986070542,0.96945002991652,0.9779148668080759,0.9640186332707259,0.9793322921098221,0.9777867011011171,0.977072163964325,0.977580284055938,0.985296323736265,0.985239706722954,0.9824048961132471,0.990460869559871,0.982978142108002,0.9797592918735669,0.9774147127125359,0.9824801095252329,0.9756572366809,0.981176596052597,0.9750367806680948,0.9768549010347809,0.9642608663984,0.969833774341103,0.975274954637487,0.9740459106582579,0.97177969017058,0.9673289331802879,0.9859567142458521,0.9718777387022389,0.949933425163721,0.9609320922585881,0.960202555331662,0.9776592551736399,0.9467387832619231,0.9603279375025341,0.9670059517114631,0.956647395465537,0.948370949437835,0.968277967617822,0.9517758384106709,0.9669805165834839,0.9906369289212951,0.9748969224742959,0.9757474580319141,0.9808126827214659,0.9695615200734492,0.9813649192681609,0.8291584721696641,0.876493403550355,0.9020344796243341,0.8920085058618941,0.9029600008376271,0.7930139562535942,0.910162502258424,0.8368084305621261,0.937117159251086,0.91296921771734,0.887460362320603,0.9166787900150021,0.823982435048119,0.860617256475925,0.887577952912508,0.953614984564489,0.7741434338380401,0.948167134190125,0.8532859046130159,0.91414210866975,0.9425977621425559,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+123,124,cg00003529,0.967957484907609,0.9620208011662421,0.96116384681909,0.967392483462098,0.9555246954141909,0.9489327232250491,0.9428454208379109,0.9578602091365029,0.9396226210537509,0.9526610515340792,0.932390361137882,0.966720626618248,0.968890154107717,0.953995382835261,0.9466732938474449,0.956482660990707,0.9618851026965809,0.9549518155579251,0.9392767741122091,0.943321311037818,0.9560981400661179,0.974008752852481,0.9796420428853159,0.963997061747388,0.9626265585234921,0.9774655566268771,0.96378956056538,0.9745696196237321,0.973601700903978,0.9596082056655709,0.9697308136522309,0.9728518705247359,0.97053310117828,0.970229109955647,0.968834524714908,0.9634700080203641,0.969010353984508,0.944749951537163,0.9652931351059921,0.9713195625554721,0.9709193019617741,0.977348403358828,0.958215936013726,0.945443381898347,0.956796370321593,0.9708320137028229,0.9574108696632769,0.956321293355356,0.943473068870137,0.9595679346803639,0.895662489755799,0.9459603964233491,0.8255272330779871,0.962979714732522,0.9546150718164259,0.895383132091534,0.955360726707356,0.927865929785712,0.8681111321914391,0.8782132420087941,0.9477470283310581,0.911741576666467,0.8875831892129399,0.8991451548397,0.882701668272973,0.931738189546123,0.6993534738054129,0.9273125902960341,0.9567848745734091,0.766005329399966,0.6665208406613161,0.804411164021214,0.5871343911279711,0.892349696929611,0.978828097854651,0.632457125095355,0.577034925795578,0.9360696392292759,0.8671973598292769,0.5687198545023621,0.434760159059307,0.6989906129192189,0.509917196048706,0.6840076198360239,0.5799431021841689,0.51666900190391,0.667090521784303,0.562394820444705,0.657037318168082,0.607718143072655,0.404712748400883,0.46976026668820503,0.4273248428560421,0.51627091145461,0.589668874474102,0.777400639422636,0.46347031876223294,0.379431955387172,0.44716098160785706,0.5854824643017261,0.43136113549760996,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+124,125,cg00003555,0.0184076651231207,0.016861398958361,0.0188095742716732,0.020223780965309,0.0211891347580539,0.0221162448013727,0.0240303517001693,0.0209952669046847,0.0188273665650703,0.0198726449578154,0.0265833885921392,0.0200305456478558,0.0153806245254781,0.0184483578521049,0.0232112295556077,0.0160986889932989,0.0205664173408902,0.0187621284920285,0.0203442757080197,0.0174673032808998,0.0241928652470523,0.0209186197584459,0.0170411382373255,0.0177836109948395,0.0236737460217509,0.0255384184038641,0.0231253404426782,0.0185294402889404,0.0193701096806925,0.0220859671367802,0.0200485429279049,0.0210467494002353,0.0191255163789142,0.017901387618091,0.021778277214814002,0.0237637005596435,0.0184038492995611,0.0195574277809609,0.0223582312220625,0.0222434532541341,0.0200135101330989,0.0191545398502174,0.0195471710649999,0.0152075137644229,0.0189072696717039,0.0195132352451912,0.0180587264046294,0.0169721177443587,0.0240306024901407,0.0193368600869556,0.0252938420134267,0.0192246265082583,0.0219952939992678,0.0202056787874864,0.0186222978349099,0.0207501593087536,0.023210331338356004,0.0193695756612467,0.0195371630785237,0.0214258987938708,0.0141132560128908,0.0163254175021007,0.0226660787918077,0.0240754541349094,0.0203643409516923,0.0257948598971995,0.0240776514905834,0.024697003317811002,0.0207129670964526,0.0248384656979419,0.0221312666046467,0.0287834085953191,0.0267663432160476,0.022274025218332,0.0144711959714751,0.0168300409289312,0.0203654091124832,0.0177815853546489,0.021193791533763,0.0212796752271759,0.0184441879816906,0.0209701926486555,0.0197876201622929,0.0224825841549837,0.0212484426755617,0.0187074007798827,0.0200444355581709,0.0242433269748526,0.0226493943888522,0.0289426265345132,0.0227557552158153,0.0191311700041988,0.0207206471668786,0.0174473580151063,0.0315829854922723,0.0235344781704849,0.0222289978597343,0.0271882171926796,0.0203911342642214,0.0242417997065249,0.0173125521494164,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+125,126,cg00003578,0.461920828201139,0.38476395869681396,0.403722555292385,0.444653918873057,0.38343902415813597,0.318596169059681,0.419379709803586,0.463843818093438,0.43967021365899706,0.49418197932661206,0.352246134921739,0.552971346673138,0.501118350894201,0.38215170418512895,0.302850486733068,0.453173937204452,0.390136878171747,0.46925700334084297,0.323896940793436,0.488248215086364,0.416571950798448,0.6097770324886209,0.627418430836085,0.5665465227394261,0.529945433629511,0.594006103453698,0.594460980663795,0.600122614222152,0.6155132561360539,0.630298883809005,0.516932053156407,0.5452117505184,0.554104864432633,0.614100899655751,0.516153379729699,0.4997758125659671,0.5655179133493421,0.475561876799453,0.517122875757873,0.47448378276706005,0.472597285252646,0.474063594798389,0.49960965799928797,0.41036433227686303,0.425811098205336,0.367178993102692,0.632099363717021,0.313537406306458,0.349750956458287,0.414850956798139,0.5036548138386,0.399975276834089,0.32599020462352696,0.383815150027113,0.746713423663657,0.735453794573538,0.825417578872904,0.793897097980091,0.662095071596567,0.624919533781521,0.62258985278045,0.54831589469357,0.601010574116984,0.615744133913173,0.61145184331633,0.648332005725175,0.6804033182133101,0.608010856909616,0.525633146626065,0.637406257023333,0.672857497585816,0.715133545177382,0.7139309486119259,0.5585007747421121,0.56844469181942,0.73157482414508,0.6922254227659279,0.525719358200329,0.45410924846318296,0.6892082073348239,0.821506030893109,0.764407313821582,0.7346716311134308,0.7842790602471891,0.812943814465753,0.8175181015884441,0.7253358412617791,0.855172282786514,0.7182117991668059,0.7033476661191771,0.7815067991182301,0.8266644690514431,0.8520686876896271,0.8309239182560071,0.697425680876916,0.657243829011911,0.8113270146164359,0.8028440893526531,0.775148896402897,0.690130387719316,0.812829298489038,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+126,127,cg00003622,0.9628129409339659,0.982078179248648,0.9678730669434591,0.9501664323152909,0.920921359010419,0.9356814100925881,0.953224761746574,0.952079612219542,0.9414744258301211,0.9364270413750029,0.921808467243299,0.962996848977671,0.9627684118344181,0.943105016984341,0.917574281242786,0.9368265971465759,0.9447680749514329,0.923966775866355,0.9157515446834271,0.9439941740986819,0.9415586624383299,0.961440820801739,0.9885930546463599,0.9779401996832701,0.971133568811432,0.9782831043075171,0.970418255247616,0.9821537616496999,0.9823310602552521,0.9770302581489331,0.964569458394741,0.948904158359503,0.9687667217759609,0.977280806310904,0.937545770457134,0.949044727904003,0.9719677154847471,0.8946154407281759,0.914540178782446,0.9369279811455341,0.912255657251402,0.938794340218396,0.921384250428507,0.8447972285495591,0.9519851408650791,0.948959718733364,0.9253614175511751,0.9362235278329721,0.910503117806993,0.928369302339884,0.8728317499738091,0.859865411980635,0.656940701726723,0.9225264368995001,0.906805451263655,0.9181090070444141,0.889723704037874,0.916939718097731,0.886165411757657,0.839097311606555,0.951553007223755,0.9653401134087908,0.920892419520818,0.928421191343547,0.894260106997715,0.956329006208316,0.806719606077894,0.9131647573554179,0.9313039357907121,0.7213532744810541,0.666902114221018,0.8859806317240531,0.602315450892381,0.9240364689944058,0.931239837886006,0.5650930404691321,0.443053518496313,0.831295767354503,0.7802386193674972,0.5120494016856689,0.5694542309854929,0.69940532354123,0.605970263744833,0.539151660929899,0.619955557343152,0.38180674167493894,0.7314831544933259,0.378392143607591,0.693224107235978,0.720893720926065,0.43467048212250203,0.36194277320131396,0.41546400648701504,0.270654894339875,0.6147858813285401,0.7876694456801858,0.47823055232099293,0.3321733809611,0.266758846462984,0.620084732915515,0.469499356788586,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.843158403910479e-06,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.32827124036339e-15,0.0,0.0,0.0,0.0,0.0,0.0
+127,128,cg00003625,0.618132956843644,0.44718389439686895,0.539727976052629,0.591955823245114,0.500151736050614,0.535463020944933,0.583418989516997,0.503172637036941,0.5631262361030379,0.5091717076220421,0.529335195636296,0.562847918770083,0.5973704053733051,0.435656845705114,0.398445887578329,0.498584443170449,0.6035564037121071,0.522187846525604,0.48023632064760297,0.535214753282718,0.505958033731022,0.9759152466783291,0.8705574042769821,0.928863178630009,0.864121652670328,0.804865994267974,0.8778161406634849,0.7688562830812741,0.92435816406085,0.923468091828226,0.8743541973261311,0.911688207817736,0.855240483096774,0.9379567006035441,0.8673933029949158,0.854779748638888,0.926118319067609,0.8246070227545609,0.825236702853726,0.807924876300777,0.8117048528611259,0.8599727629630409,0.6254982051172329,0.511898467206079,0.567096149746933,0.5491230227963529,0.74825261834766,0.595084743067537,0.5441100348606239,0.556903889967746,0.557029799112037,0.38986063026322904,0.401802181716379,0.513502476960086,0.888229123683502,0.7932557190901179,0.641512437955605,0.8019928178045359,0.8456970083737941,0.710707817528086,0.870337772294925,0.8610352230201851,0.830944502901256,0.773344301322909,0.7922360431763751,0.763348768638386,0.7204469296278571,0.7999717332110541,0.870122826739082,0.700521924770357,0.7168351750301141,0.832802613238263,0.7868521365166999,0.8217259385046389,0.918701537469152,0.830282440008625,0.652963174632812,0.843260711108838,0.7766222235438549,0.6653798100325761,0.624415786679412,0.8105612411998799,0.6811747466385971,0.827819219172907,0.7598946998366609,0.776819606271905,0.78659483040466,0.7779989913829101,0.7658663951775201,0.748333412059453,0.75673769611088,0.7910719867403591,0.733922529402421,0.75625119750561,0.762344424900511,0.8000127324774491,0.7978324603387991,0.7667715777959141,0.6914928529177851,0.7703700648387679,0.7952841034185579,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+128,129,cg00003640,0.925682875671505,0.964341095300738,0.926746359339151,0.927971622350962,0.7587387707806859,0.875911972555013,0.873511475221855,0.92319627836223,0.887394438185067,0.8676522219196721,0.8538622984324209,0.9076658384646401,0.949906758294872,0.8611523605029809,0.847777626558532,0.856880502783543,0.8588050070830691,0.836969854778226,0.8323253563284251,0.920506320833216,0.842012403541093,0.8469140466163979,0.943991912460645,0.9499794389015229,0.935996743336172,0.9344386444692651,0.9564677650449692,0.9531192443110509,0.969452717366869,0.945935028225184,0.933664705266722,0.825740940033117,0.9256081822972059,0.9233142556327181,0.865690204771961,0.813588509082361,0.9373487233313951,0.6991866068054661,0.789124432117831,0.843823330289323,0.8502124413151141,0.8335429018676721,0.7978510251483492,0.582314679233647,0.9030976870646469,0.8686363495672479,0.7562051976337929,0.816057789641761,0.83837743196059,0.846448076652168,0.859919184063473,0.6592586713882379,0.377253440517686,0.865303185490015,0.850134821642313,0.87525446692892,0.8365446418630941,0.86099004493397,0.806643932532573,0.799087590923506,0.8306142085942242,0.953935797197285,0.9151753083038611,0.8836683369617809,0.855639093113347,0.90676683495665,0.832705161904412,0.879612531495348,0.8262087718544829,0.767611873434927,0.864566546129825,0.928372032293928,0.9153480167528969,0.8648804250806379,0.87864101955463,0.477053240399395,0.758553788271289,0.764389962972372,0.40536158984343795,0.7614152728865892,0.81709471783065,0.898990736612926,0.8174197654265379,0.8446568339949531,0.7460110497512041,0.865296395076619,0.8404663419994979,0.778980317088601,0.8065908169288659,0.8300978128583321,0.924793627611505,0.79557420954632,0.909266073878102,0.88288659680744,0.8042784835208749,0.8595485396618879,0.778336817275495,0.7693394281863419,0.8278567053363242,0.7593438271669741,0.7879040419517042,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2212453270876698e-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.46513961757955e-13,0.0,0.0,0.0,0.0,0.0,1.84297022087776e-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00281633501031364,0.0,0.0,0.5037898427381121,1.5197398894883902e-11,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.71799396509709e-08,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0013719535953581302,0.0,0.0,0.0,0.0,0.0,0.0
+129,130,cg00003722,0.969442902758068,0.955945795104265,0.9704912441130858,0.969615453159654,0.961279651341611,0.9669161493045471,0.9497605669705319,0.9749550023957829,0.9657751415018149,0.9520725208862941,0.959265287959675,0.9621835004439041,0.9783925071375841,0.971743181985032,0.963891912364005,0.972123368236925,0.942735045691865,0.968163439077968,0.9532092567464091,0.975249271890687,0.9654264361279151,0.979931463847109,0.982225967310413,0.971129097197288,0.97265122233775,0.972915069057793,0.971948144413071,0.9736240526969859,0.983592250534851,0.9809145681718799,0.9722201164512071,0.9671405278330449,0.967333247644614,0.967744273575556,0.973379586242773,0.962886730377668,0.9668120825370541,0.965025542166891,0.965827116291545,0.9576029612033861,0.97271730015758,0.969849773499341,0.9636562392856372,0.9741317733491959,0.9662998280657908,0.965620015162921,0.9614734300957242,0.95835011349972,0.9586650676283771,0.964786804974045,0.962146113565405,0.95161002330414,0.945147253341663,0.9684775884185921,0.9559192370538672,0.949268022793332,0.944969018751658,0.9577891281290479,0.9599180793012541,0.9487654257735649,0.9830507658241608,0.955232994790774,0.946327673954686,0.9531014408114921,0.9647149718415329,0.953621566788167,0.918490600853067,0.944146630152034,0.954179113979287,0.9510225706996579,0.843250938688559,0.942558016573533,0.9059982176488001,0.9444950610636391,0.9816058810211999,0.9607101638659928,0.953316901344404,0.972214606149649,0.9226763524478578,0.9205464059026409,0.9662749222895959,0.949553153077594,0.9546854574056479,0.9563368772000541,0.944634187018899,0.963857071497663,0.962650721080917,0.9552896468045851,0.947028804317896,0.942859401712249,0.9680288657822329,0.9305763930407809,0.9735255932787679,0.9706482762883539,0.940714674855289,0.93175184033011,0.946150126569072,0.954455367276323,0.9264990235951999,0.9398946523806501,0.9619540632232622,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+130,131,cg00003758,0.9820867759015459,0.9876346676575899,0.982909056928266,0.9849074817623921,0.9733290332460591,0.972385364331947,0.9779259545600549,0.9810941177494671,0.977161038388062,0.9765205115556109,0.9745599724464041,0.977387587880453,0.9887224819133499,0.9789299446241311,0.972353291718968,0.9730651544375492,0.9780269755784949,0.972454521263967,0.972881780966705,0.9810626327827521,0.974033058917601,0.975624064760958,0.9697541613823689,0.974727137110928,0.973068011529855,0.971488128096681,0.975104051940971,0.9806365775639059,0.975572014006968,0.9761444950820771,0.977197970309836,0.970506498263276,0.965436350317454,0.9770776676294131,0.974026378532601,0.960552788561703,0.9732839620233491,0.944859838712412,0.9693078122013481,0.967571723750021,0.96771894876092,0.962948009097484,0.9677540797722191,0.974934308729922,0.9788091045632701,0.9839820574088821,0.965812663526938,0.9837042794563859,0.9656073211649591,0.9676360625735,0.970151422124169,0.943488316679582,0.929728092561841,0.977542271185025,0.962724553178045,0.9586764332105211,0.9690465503810891,0.958702217869342,0.942965092444459,0.966271556298424,0.9869842345766041,0.967139652952784,0.983340951984414,0.980729785406319,0.967901994129045,0.968530484562114,0.9688868822107379,0.97363486047116,0.961077567749809,0.959942467266272,0.976200434495508,0.9639080635289341,0.970946388553473,0.9567653152264151,0.9844522380432571,0.981629835886425,0.9725659676228959,0.985836436213412,0.937173689680144,0.949690985687553,0.976933242443925,0.978753534770492,0.977414362362831,0.973114360259984,0.9683516647036869,0.9739743045384699,0.97168696411552,0.9758873206226949,0.967751650147545,0.970237310373971,0.9803102735096609,0.9804213852783729,0.9863618128810542,0.9703416962855351,0.970563772025394,0.978161930417432,0.965566913523631,0.967519302518027,0.9763674702572709,0.9651171434750531,0.970071722374234,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+131,132,cg00003784,0.00800287879782289,0.008767959434982191,0.0147827244063248,0.00914276147752538,0.0126832192228805,0.0144141930427526,0.0172813956063171,0.00938540016461179,0.015296468705953001,0.0108739090861465,0.0123498951244147,0.0112723809383681,0.0043342116501417895,0.0209989564094075,0.0158061892892351,0.0150110161979857,0.0114345447202524,0.00979526915158477,0.0113281481522834,0.00804380926935232,0.0048657355396949705,0.0116574051274261,0.007446495515347709,0.00930661586351687,0.0107795126517008,0.0149378560763871,0.0106988044061554,0.00880163999283266,0.00977659811633204,0.0157737955598647,0.015511327142090001,0.0137245695822875,0.0161076904919957,0.0159645315945649,0.015584306474142998,0.0104278547603215,0.0125289924864462,0.0148064880972281,0.0136711115214433,0.0131881352864286,0.0111015387216603,0.0116400885833219,0.0120559055041767,0.016822580889375,0.0123738066914633,0.0117094759631916,0.0103744992869698,0.0115999939537566,0.014568432982829,0.00906767937452343,0.018847291233087,0.0137403591296278,0.00975989879644,0.0122215374681684,0.0128604435534704,0.0142666376643036,0.00916410302911856,0.0225095170822858,0.0125163594764597,0.0140864523223457,0.008940107939722079,0.0102727503641176,0.0121340912654204,0.0118995125681312,0.0208033534683204,0.0125565071195147,0.0139064488547727,0.0142423724801176,0.0119313069335069,0.0117098180505324,0.0192723735171461,0.0113457292905525,0.0160778130007515,0.012956529241636998,0.00823253173393706,0.00560230798642407,0.0145910920809319,0.0105144900290533,0.0177712961918686,0.00657910884711127,0.0128388945594566,0.0094171317470091,0.0143482971599499,0.0129016343204463,0.00795767752771001,0.0111892558685148,0.014784662940717,0.0106976722744292,0.0231148754680193,0.0144331310842359,0.0117662530226181,0.0109276707124383,0.00949357220689577,0.0123864974814158,0.0121028427323771,0.0119225885429104,0.0116999844167139,0.0148205724917602,0.0132060620444838,0.0120047049720236,0.0100686962298034,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+132,133,cg00003858,0.963791219986364,0.9612136238095931,0.95892001682759,0.948957378486343,0.9428628657832859,0.9222760548256551,0.921739900068002,0.939197374265859,0.9712602607732719,0.9656182184973728,0.9649917842785629,0.958438401144096,0.9836648864025951,0.9651054438098721,0.963140506679673,0.9782683566004421,0.956701051801918,0.9729340347394541,0.928262045965246,0.9707161081383571,0.9724524926735258,0.953663721346405,0.8919873351416701,0.8911526949126128,0.900527483513726,0.9407567136213539,0.890079366613942,0.9397394770375921,0.952337883608283,0.890860325423754,0.9273122948564742,0.9265081982450579,0.9297792801093109,0.951597326970362,0.938913075014713,0.9426811341126229,0.932399535059928,0.952601749468832,0.933434627022022,0.94027849860488,0.896523678960976,0.9649632648349421,0.962551533365015,0.979457046874772,0.9454463893624159,0.9622502850255521,0.978154707195905,0.9669734330428811,0.9649677805296059,0.9150593241714609,0.9706523497202609,0.9736125871674609,0.9705058817865629,0.965155852392449,0.9779019116162859,0.9707604314105841,0.9787799621593299,0.9738106372651529,0.9734428159068559,0.9552741162551579,0.9795586250919771,0.925836980740563,0.9574010792055451,0.9499922834289379,0.921662810080281,0.942064682944708,0.9634716411622131,0.9458469300602309,0.9654174807910859,0.9604768998164391,0.9637366662917021,0.9677214069932641,0.9508917738870729,0.9415158660040741,0.9433714088438541,0.979954600705823,0.9553033192368678,0.9804066691168509,0.978672993359025,0.9766663536986411,0.936619401027833,0.9451837681389951,0.9373967511098922,0.9626568367712859,0.941306763404552,0.9627789041246021,0.922331404350317,0.916652230055358,0.956783208101445,0.9552280513797561,0.953158454019848,0.927209269888902,0.935618121280799,0.9488567449243499,0.955623049401808,0.9537370399734971,0.9476129897378391,0.9636147595461129,0.9184159562511529,0.959890947538818,0.9752812181012329,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+133,134,cg00003900,0.38386441555235207,0.26606455353009195,0.209727570951724,0.32274792207631803,0.270386094764876,0.267812305337138,0.27881378708579996,0.28481009237075394,0.278356592269193,0.316176184094229,0.303415036730318,0.3635197839674939,0.230928190740221,0.323430280541295,0.245340669518139,0.283203483516878,0.25108885707121,0.301476220152351,0.289699191466171,0.230589963012108,0.27525673898792696,0.489036378596824,0.388247027857158,0.393119645642815,0.491250650327609,0.42016121015145397,0.3524867075100879,0.45172682596425606,0.383546279846885,0.45992602500304103,0.41498635297721503,0.5234199228272101,0.41960211327307106,0.44367646970808705,0.387535724499805,0.35860144843003494,0.354752284119507,0.437724909617427,0.429404253649887,0.409646443187508,0.321038260819934,0.455745863394626,0.440812517638615,0.295028031123215,0.33047982946139,0.29565316012235904,0.368939730364717,0.227446139259383,0.297978066265735,0.24177228492897898,0.49848142104860904,0.3770276001122221,0.3622741492369989,0.25156004407620197,0.41482186923902203,0.38191329523894607,0.523738622077467,0.38040529693224795,0.29234749589931297,0.395125524145927,0.39421985784791,0.368181785444813,0.515944386149425,0.418744704063967,0.318339784696404,0.441108010513639,0.219593665769077,0.427293392722582,0.36839998805344604,0.349317272863599,0.179143728064038,0.30177662115910103,0.207378283499734,0.355662078830007,0.33192300810027303,0.0929830662789957,0.17277195275221602,0.282772522755629,0.373337612565502,0.108020490089642,0.127855963804199,0.196781648047205,0.143326033310682,0.267642659665871,0.16745900723688198,0.0916339584195506,0.24060331610552502,0.0318078112067097,0.254953908735732,0.199744575801318,0.0825984591532415,0.0521695262561943,0.0328749302212231,0.051164062844563,0.18899784682345003,0.25735774670379796,0.0774799242924672,0.06257035329942201,0.10557638456981501,0.2151627292255,0.0829718248958139,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+134,135,cg00003911,0.981248760272777,0.9933327651555771,0.9865837085529681,0.986735888530159,0.9803289497997579,0.9812732126387,0.982674690662667,0.982022598027042,0.985435653981657,0.98464448597084,0.984466122274895,0.976877304059194,0.990161718356847,0.9803446119123241,0.980931975080691,0.9827327330136658,0.986643389111105,0.9820787671472601,0.9790570001197791,0.9877186797770681,0.9836917008688458,0.9850363602498969,0.969283667998923,0.9530657411528342,0.969384035928462,0.9737187323603129,0.976483142419902,0.97857946330873,0.983607420176628,0.9811402202896892,0.976211879925167,0.9839200910369978,0.963204014062216,0.976698443281727,0.978107977769985,0.9663747495673509,0.9685395816197391,0.9711111011641429,0.974001085966649,0.9707160264003549,0.977211528751452,0.97813586494425,0.9851307388237779,0.988954480195677,0.9876953732612149,0.9832609927431222,0.9809447239529491,0.983551598480818,0.9795427929094841,0.9846283963206209,0.9807874271708029,0.9752517413254692,0.965248263905885,0.9835930138236479,0.973401185744765,0.9730054162555791,0.9793699748673421,0.9716933590147551,0.9794238358830291,0.9839113298448611,0.9878618297713679,0.980439865694928,0.985780838149675,0.976953954625927,0.9779425707477121,0.9834207896339979,0.979523718334604,0.9706924583437958,0.976723686220833,0.9758877071796359,0.9765587530237779,0.983922904702528,0.9649125427799559,0.979695249047226,0.991297927510352,0.98993216564319,0.980660679196966,0.990554312414322,0.9752803628040991,0.9833555351491229,0.984533251843593,0.986145458272136,0.9832178175012148,0.982458389385775,0.985316891453508,0.985444069866098,0.9831094778492979,0.9834226251053271,0.97736188076131,0.979800604698547,0.9854426445161171,0.9817939421715459,0.984787756261414,0.9799732647330259,0.9696675703022329,0.9765360370325391,0.976878191260055,0.9800667606193109,0.984372710032315,0.9737939736995649,0.9875122711696971,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+135,136,cg00003929,0.7574796115061819,0.8509777251906719,0.7176847333432099,0.85099077550287,0.8090881513678759,0.726230743444417,0.816434523738385,0.69350009014673,0.721374814327011,0.755005442031068,0.78770632353846,0.7680500299980441,0.6704750287763941,0.825189406072226,0.8240194148620121,0.718057419180288,0.801289296073644,0.6803178340197,0.842128096152592,0.7622195550146971,0.73837729471598,0.954551873371247,0.8206746185747671,0.7914152243316209,0.8793291756752322,0.875901115035517,0.786938525412903,0.899285623238784,0.891358318272722,0.8866090496607141,0.9383200300938709,0.83424844621757,0.920633406797328,0.924150794283732,0.8844090566387479,0.9466038117583309,0.863661111570182,0.9025653813303621,0.864001796805817,0.9464366143254571,0.756595297747675,0.932882500990498,0.8304776093608258,0.908931860848479,0.7639893345333659,0.871093059444371,0.7641966962486121,0.828566196879191,0.7754813846332759,0.701204522095468,0.890442577850188,0.9405936491586179,0.912125166806359,0.57152936365721,0.924705500068925,0.8623281427388091,0.913837013502277,0.909175146938714,0.911723888079457,0.9781919624686719,0.9842319456838441,0.950940043853617,0.9636646060183041,0.9488078690550781,0.9507911563429972,0.954641049428715,0.9769872478188321,0.955429190918624,0.951245807646064,0.967828733796296,0.9478799819600742,0.959722260959398,0.956184782097256,0.908414784285264,0.9608299951434499,0.9606369374638679,0.9693971946872991,0.9779107792002719,0.9610015885887049,0.964825570257984,0.9557746913217829,0.9586756785633309,0.9532056642346629,0.967890733871341,0.9576649149087991,0.972654125177544,0.9603098262132042,0.958932634696052,0.945501297027824,0.953339236109175,0.961902513546057,0.969404462715978,0.9778324354767929,0.950367676072065,0.966333221044053,0.9493731275544742,0.9780347430065469,0.9569146633461111,0.975453873954927,0.954322691725521,0.9620889870757819,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+136,137,cg00003937,0.952551640159947,0.9917175380818729,0.9729896998091291,0.9745541614318409,0.967288480324205,0.973486454121646,0.9731800312028779,0.9632032530434929,0.949984245713267,0.9584217391995691,0.9751403387535659,0.95076064361736,0.970283050694852,0.9687854011022,0.9597102322670921,0.9456558177399151,0.959991965281492,0.9571004666627378,0.956784603022414,0.967737116818985,0.9600468970495399,0.9930248258956601,0.984067198440535,0.97695510793334,0.984397381969213,0.978360203889788,0.9866412915300641,0.983300122849883,0.980516146535783,0.9848086779777301,0.9821465543036539,0.980486259998582,0.982007257962843,0.96290311608046,0.9777533431594859,0.978928865708775,0.9840923438331249,0.970860253435912,0.983157031898285,0.9736288444557449,0.979923850297643,0.9802189731701461,0.9337800190365172,0.9823786837369379,0.9755218552463409,0.9800173737481579,0.8741351216115071,0.9843403966167471,0.971609517822845,0.969996434879677,0.9656149586148051,0.9622475643236509,0.9633254519006459,0.9831985802109671,0.501610125092115,0.719101165911793,0.822440348881353,0.713760734971785,0.757322869753797,0.9794888965406391,0.9921705394561491,0.9865732677453559,0.985725854150984,0.9773410178507091,0.9756870264015741,0.9807949637338591,0.9784297899839092,0.976924639361718,0.9812861091192908,0.978040417519637,0.9783160311181569,0.9713963722871309,0.96188172504139,0.978730520649642,0.9853711767242891,0.9890354090264459,0.97947054202687,0.9874862377076059,0.983015209387192,0.9727506167106321,0.9723541161655709,0.9688192083986809,0.9804434568887029,0.9741541549427021,0.974670315523332,0.9704449662044791,0.9787342676148539,0.9800937388205371,0.975761043390778,0.978307452689565,0.972228972357822,0.970657172581408,0.9769508779688301,0.9631224689035781,0.9728794172733609,0.975067701711846,0.964348571894294,0.9743629204551659,0.972040383607918,0.978116384467873,0.9846841830404951,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+137,138,cg00003944,0.9830427719731251,0.9844587093541031,0.977680831249945,0.980626394659658,0.9770908933870059,0.973416466676957,0.979715692202604,0.9871767723585408,0.9824026395984291,0.972438350672833,0.969770699948196,0.98797361400325,0.986314094834912,0.97350370007752,0.9756235521008358,0.983274971820906,0.9830088181191009,0.974004066585302,0.976017428582598,0.9817491719728041,0.9704682668873471,0.9894206179027142,0.9873719944160492,0.987126212826502,0.9861637804034251,0.989638433344315,0.9913007171747181,0.992300354243735,0.993087177419334,0.989365816662903,0.9826631165055161,0.985431662392717,0.9830484534120228,0.983480315853225,0.9840267686400841,0.9811948301144041,0.985953056179462,0.97611518971779,0.959329351356113,0.984024405399576,0.977684234406874,0.978117358285345,0.9750255298998879,0.969843127703113,0.9829250856277559,0.986553766334854,0.953179734899615,0.9873761485194279,0.948831982412197,0.976441672741667,0.801071358123229,0.95416115417656,0.9325175804594509,0.980780529400859,0.9537697176673609,0.9389212432856321,0.935755225047506,0.9521616311238059,0.9522791343388459,0.9816476859844909,0.991196130939355,0.99050291961393,0.986389773095908,0.98741526267901,0.982988221605688,0.9872137116811509,0.9830705398308821,0.9811373627073658,0.974657788140015,0.9710696129052679,0.989092681159245,0.992316639395557,0.9820093553778579,0.9847812962195441,0.9898116501783121,0.982912043932928,0.9780803970725909,0.989879075434442,0.963432398325585,0.9793276620115571,0.9837819700688649,0.986531420818346,0.987474548473237,0.978266532525781,0.9834657670496391,0.977890526194448,0.9792602669661209,0.976407912750237,0.9681261582079591,0.975336352394654,0.984362613889511,0.9869501194230892,0.9804256617258291,0.9860200053005269,0.9791696231602719,0.968659162289951,0.985381748927619,0.957388380128568,0.9813537328563181,0.9777789990255891,0.9790032232982141,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+138,139,cg00003965,0.983905139703492,0.9833241986916559,0.9714888018917471,0.9714904123786079,0.9605941459133058,0.97052574054772,0.966275501542145,0.9754134966167339,0.9761990674699399,0.966514352388991,0.972534275092337,0.9668056734905981,0.972194063718339,0.9677322763023779,0.9644509056376679,0.9743138894675151,0.9721015975182601,0.9712383086959391,0.971124242214635,0.9633519497553571,0.9766727788268629,0.9470106022111191,0.8453557850598499,0.866634537006434,0.906624220248129,0.8254617729038509,0.862917379316259,0.8633985939633722,0.9504405196113589,0.8323022573680079,0.9004954773174241,0.931467767676591,0.8719313594100121,0.8361906142113492,0.8285688343285279,0.877992633176932,0.723078227317847,0.950038349760315,0.89417856408316,0.9081593897858741,0.963108443952928,0.7375570025161199,0.943377099696265,0.9705002000159879,0.9660811408571159,0.9837178616841321,0.9694700485371059,0.9849261174222951,0.9681026913164741,0.976394897844014,0.971525852408244,0.9618328184572059,0.958981811444478,0.964623439680912,0.9740528803957149,0.9545947858378421,0.9729350219351579,0.9767111696190091,0.975345204179999,0.9500482533478309,0.95700833456955,0.8986222421023549,0.9337937967316251,0.9007857499892921,0.925921442730798,0.8843098274513079,0.964083156560059,0.9017890056746372,0.933287775674748,0.956542397024038,0.9446811186137959,0.9252421555321669,0.9446722330737058,0.915923199860328,0.752275180432859,0.969162290426168,0.9689457268316359,0.9591427718066781,0.921230111806086,0.967011802044061,0.970893610796202,0.966310381939018,0.967495837767106,0.9691348142864751,0.958417016076838,0.97563715752327,0.9601192745565529,0.97358247058935,0.960496460557654,0.952388946626391,0.976521721201718,0.973553685327928,0.988487086259437,0.980313148109859,0.9540447952141251,0.9034854110257371,0.96414982961116,0.968191877565787,0.9804768175518771,0.954657289293039,0.96092778905232,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+139,140,cg00003969,0.920409306793275,0.964493111234107,0.925197143414415,0.93178030447312,0.936158453330895,0.9148932292591329,0.940227718777408,0.9027184834882841,0.906688338886311,0.921085593378345,0.904204257595077,0.925440330576967,0.9437178826590641,0.9463988216375621,0.9125130945683759,0.92326558550559,0.9280293669312341,0.910167413335792,0.8999246319788459,0.939826588637396,0.932739728575557,0.8860709077809671,0.897067410436037,0.8973398382698481,0.8723405719441428,0.903277561990198,0.8913217213670629,0.926880593116716,0.907994123336275,0.8771799033039109,0.9076822512234309,0.895338437346611,0.8697793167544471,0.893360003441874,0.906364848607,0.879906547874874,0.904360453593046,0.866628367328697,0.8987123703119759,0.887823729426675,0.894789432084195,0.924675247154739,0.9226388098427379,0.9241872777361941,0.8986983236301529,0.937790928729482,0.897901919038239,0.913724483107359,0.9245305888780742,0.9041150485582629,0.9028089502635509,0.89398253045438,0.921963030906431,0.9195227461039859,0.8941877946213509,0.929027857555226,0.9486815787316851,0.9105709699546979,0.914115800444621,0.8982094328176609,0.8968743785014541,0.8963903071096629,0.90062575122208,0.8809117802580391,0.8953093368201229,0.8993436510334849,0.916738771858554,0.9091229197652491,0.8919837398257969,0.914358363864463,0.897679342483418,0.9253291438986379,0.9171531075869691,0.881859854898413,0.935023684679886,0.9402002772909291,0.9482321208154241,0.912197922080332,0.916026241273647,0.9441207975134499,0.9235786782905859,0.9182380352828281,0.9265570394700471,0.9294134058545591,0.9217073315710892,0.914703788986549,0.9283196560144029,0.888758590620545,0.9144176456114741,0.9329219572651241,0.9419399826678451,0.904377617007493,0.922185385922827,0.9226386287597059,0.892770072179772,0.921523447643425,0.910696399058095,0.9166963217540229,0.881000649793341,0.9169338457918249,0.943786233064563,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+140,141,cg00003994,0.030708091681931,0.021035700191086006,0.0187953409309784,0.0394087027225712,0.0317477255851321,0.0273704623628627,0.0329782499025224,0.0336333929280695,0.0142557691526607,0.0381523927682811,0.0239761762449233,0.0221410282634817,0.0221439333146025,0.0153029428420351,0.016513350511152002,0.0297839943539757,0.0438763337288058,0.0116871592402391,0.0261275722341065,0.0134883154208219,0.0207665250859555,0.0117446493573903,0.00932082530377322,0.026692719180621,0.0233295417776557,0.0161840190533992,0.0316168927847468,0.0226373495864625,0.0157142592547878,0.0168934830277659,0.0254899938855531,0.0159830475517893,0.0205987259678338,0.0293674330592186,0.0170226650708681,0.0180310333656769,0.0123388139239706,0.0117913389396636,0.0162004636653066,0.0146806441384371,0.0175420684499143,0.0157241255841792,0.0322727810284928,0.0221067501402064,0.0260820348777878,0.0348757968848779,0.0109032628020598,0.0229220566693743,0.0259489537416698,0.0367613046376514,0.0215700943623727,0.0165252960598661,0.0446025244977647,0.0236414303272572,0.0172697852370424,0.0230395030972742,0.0175428026573006,0.0182249303853029,0.0195296128824143,0.0372582554337973,0.0192593412253068,0.0198537049346929,0.0462288633004175,0.0242237024584971,0.0237756429799803,0.0262270930329205,0.035910503653701006,0.0240582066201863,0.0137735250842961,0.0243810236134626,0.027253495772071,0.0342184454543634,0.0281400726345517,0.0194712253091678,0.0142679977680643,0.0506664262337745,0.026618852118418,0.009509471694108491,0.0261621623681261,0.0216572758911246,0.0773379974563309,0.0298587679880001,0.0313076357737665,0.0413855917351739,0.0641504987881248,0.0400475159969799,0.0301223998051365,0.0497049839566814,0.0304505975500066,0.0326973409595909,0.0259306190769605,0.0357169023890149,0.0312585209424664,0.0258713990702513,0.0502591951756003,0.0239148405201821,0.0499007590018331,0.0171675769272134,0.0313156699961006,0.0262797356977449,0.0151854449447038,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+141,142,cg00003999,0.9784168366803401,0.9729007220881779,0.9688190909994658,0.9735738379151461,0.9491086528311609,0.953678254088774,0.964783610754943,0.9593222293202428,0.966219179863468,0.952988830810885,0.934699720012116,0.9658068686580351,0.972177576857662,0.951249571514138,0.9444500373957041,0.95224103378008,0.9488512645775359,0.9618722856744351,0.932585255653316,0.9648029933994742,0.942623785587092,0.9706127809593241,0.9776757540308729,0.9758362416350849,0.970993199220732,0.967898319544611,0.969946073277093,0.9627102695988872,0.981985026096923,0.975055478534203,0.968879663899274,0.9605051323389009,0.9531327146097981,0.9488252527164119,0.947488592547435,0.933020229586342,0.959421759517405,0.9169502799373821,0.938892794578277,0.9313936789731729,0.9578420230267041,0.9505067975656558,0.946425582246409,0.941449940003486,0.9630126037659,0.9714289695688181,0.900159090156005,0.956799202690534,0.9609176079584999,0.9674338553620291,0.946124310396751,0.930198728729952,0.8210140556858121,0.9538996800359381,0.9375949035473778,0.928230841922621,0.93532573405288,0.938119883122315,0.9356549393039281,0.960647115389319,0.9599812816904059,0.9694879992057059,0.9651906913651171,0.957376207123622,0.957525815377828,0.9631905480534171,0.9350381113037529,0.9445309720877041,0.9294805238173429,0.9459884300783421,0.962017894986773,0.9761848749652371,0.9616590923756311,0.948670187688658,0.9489563891235809,0.921983870368402,0.9459485650764449,0.965131344142379,0.868482977207547,0.924616702198692,0.9652734309386809,0.965738160214088,0.9585615035429309,0.9525865409114441,0.9526632474086891,0.9689473473931609,0.960489239925584,0.9404069451800359,0.939032508177889,0.943050063702915,0.9731176264515691,0.970130498116229,0.9551472774810171,0.965459543780046,0.9313558770723951,0.935796675627347,0.9281132744968871,0.9426096893127951,0.962089684641532,0.9390873055967041,0.9341278616745571,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+142,143,cg00004031,0.8118903936217711,0.8049170227580941,0.7932757895846421,0.8237344005834789,0.788860360701389,0.884510447775566,0.9161101108177958,0.8924111720401691,0.906753360553018,0.8757710065376371,0.8078060648690641,0.8875483506041201,0.9216025916694829,0.8721752575929399,0.8595339791391191,0.9011413165068441,0.770926426775696,0.8673187012396949,0.8547570333490371,0.8866120489578689,0.8936859264049121,0.8763752971002221,0.878954770928847,0.8117068004321429,0.796360112149302,0.8641055254464499,0.940395468911846,0.960985830467791,0.946449269763392,0.930234008545231,0.9357700503702571,0.893412344398915,0.937029521656713,0.945109541183364,0.9019410884462951,0.907176923475375,0.91475921556707,0.8791021721920171,0.881972988491583,0.90622537051576,0.9157664150631579,0.911669092535837,0.8673046169155691,0.9032325836781341,0.781603314352418,0.917095739354472,0.900879340984387,0.842332833199812,0.820857398506881,0.8795929324986009,0.8619236870188861,0.725582012920548,0.633615128015922,0.8810801331430299,0.8933995040282879,0.9164129017210749,0.8184947607015219,0.9062169540317411,0.8905065520768369,0.8037708886411941,0.915698122137149,0.81005499618025,0.8061502614413059,0.868436299358621,0.855559536073789,0.932381096120466,0.736151727226635,0.883173157204123,0.8781069289501441,0.791479708848854,0.8054880923517191,0.895035762227981,0.7838023049199241,0.8622936011458491,0.9353563437047601,0.661034531483061,0.56462676866458,0.8181284521279492,0.5685011091571421,0.601897343812886,0.6933393928781479,0.7568431111670991,0.722832035202823,0.624082731949644,0.731886067204072,0.5917764328505071,0.745090239437263,0.552771460875593,0.694173265810679,0.683390756942806,0.6963835065544179,0.5097069710182299,0.484299176802319,0.6603109571901989,0.655625237935861,0.80118910234634,0.701918989259476,0.567211633290347,0.548195077367234,0.6680743046843329,0.45255569017966396,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+143,144,cg00004055,0.0468339218848663,0.0487772080758769,0.0327484227465478,0.0351985374974257,0.0323685452793698,0.0439111343837971,0.0468060656002117,0.0491029541299186,0.0520328437014745,0.0266059978579651,0.0378770575764199,0.0466274955663385,0.0261762886284105,0.0560935549778738,0.0492403693765683,0.04261198691393799,0.0492189388655205,0.043358021890611,0.0472975693888038,0.0407514400055298,0.0448943871448908,0.0318104080158755,0.0480937633003947,0.0370459235302806,0.0421638285798845,0.0544674426532272,0.0396442999928133,0.0407731516997565,0.0366481151420068,0.0562979733218726,0.0483290813223456,0.0474224686184984,0.0432761058013414,0.0456777328415378,0.0433531096383661,0.0384228662517933,0.046131743768108996,0.0438767049251474,0.0498278678842417,0.0461578335520881,0.0419745045123104,0.0439010717777853,0.0354525248754438,0.0289767027465488,0.0399409650644569,0.021590508928104997,0.0417997378137259,0.0393246928062724,0.0357272103658322,0.0387210181736194,0.0412334976355271,0.0257356814523418,0.045490981572025996,0.0432017649977904,0.0457496527157216,0.0357769327579701,0.0450256293165867,0.0414394418897528,0.0451113318581314,0.03990705514249299,0.027381086988482996,0.0441903895663665,0.0599115871325869,0.0523292724590316,0.0467031919284076,0.0788502267065073,0.0366950187947532,0.050976763853018,0.0479176820943262,0.0495447713447927,0.0477526284569011,0.0612701540769516,0.049801724322748,0.0552450242727116,0.0364045263956939,0.0353985240353772,0.0581828050061761,0.0247794612469699,0.0375108962118278,0.0369429556277441,0.0349036065730657,0.0426630437967707,0.0579982189021935,0.0627533840094635,0.0431337632021831,0.0383698962402723,0.0533900629429954,0.0616347925884485,0.048861044752405,0.0435502079004163,0.0402604002024256,0.0466525981610755,0.0449298333790922,0.05181566126443599,0.057947127067144,0.0501674731865537,0.0505126413603789,0.0513526067837539,0.0536624278595569,0.0466191269484271,0.042436549369862,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+144,145,cg00004061,0.866307055169082,0.8782155593468641,0.67218977604598,0.7803358382928051,0.8033234526809201,0.81841952145462,0.8088185121335251,0.8003800153363929,0.828500196063363,0.821377807707831,0.8612440462964509,0.8436587852547801,0.8074858323511059,0.841027454197405,0.8323132347477199,0.8077179153433081,0.83660501713966,0.811213950091677,0.8151094669615241,0.790522530752832,0.822596477500715,0.865469517832994,0.781989464480896,0.719090826549318,0.8214233397259558,0.9234414596799592,0.866539680823425,0.81127538602531,0.7773287088381021,0.813505410851973,0.8764800033347281,0.8345523058015529,0.833555860964297,0.8034036290638951,0.8497427792113009,0.851658012443025,0.8054803319923679,0.764898253510254,0.822350046065437,0.774091109331084,0.840709348817966,0.908950348072984,0.804371587347509,0.659315080324852,0.831502221330615,0.841785802358977,0.8670044986074541,0.830732802878772,0.8230438865092209,0.80271341364199,0.349730224974932,0.638244824844053,0.553943519679703,0.7239327181843521,0.8830102749652601,0.872561953357313,0.874970305836087,0.887756140986979,0.8350283804930679,0.693401753314937,0.845785705561816,0.777334672441515,0.6607912228856279,0.7043425759855602,0.731482725304297,0.828459171291565,0.49394718219201,0.713843293687302,0.755783900164859,0.49653143994061893,0.44860375570280997,0.632173560465425,0.411730483563027,0.7010697777027559,0.799540794015962,0.39931066489088496,0.24033366959849103,0.7227255316537758,0.497527111570826,0.35171530292902903,0.063226649094999,0.388614310690234,0.298483839319259,0.334983236786058,0.18382689111101602,0.180556115823564,0.2780305962035539,0.0872983942309589,0.437717241826921,0.322958363772498,0.143070301006166,0.268888605870783,0.134960640599777,0.0672517080731446,0.180454614175702,0.587503652516386,0.110329773075385,0.0924260512665821,0.10507043655288599,0.21173888643265804,0.0774456720259028,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.08151265720835e-11,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0769163338864e-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+145,146,cg00004067,0.976414214377467,0.978951991755894,0.9715379328049009,0.9767995277452929,0.967012149224039,0.9734381620345509,0.966434372455003,0.972293962295188,0.9725325637098791,0.9731204413231541,0.975708295085783,0.9775700963696792,0.9820683016695991,0.9711719119602191,0.9635287560973441,0.9659245517755229,0.964834231228388,0.9726778124790841,0.9697701410039079,0.9779009100427121,0.9728506924014642,0.9741970874916759,0.9733279903856179,0.9742580222681599,0.9644308386139872,0.9547961064126159,0.9577362235647009,0.970735211718086,0.974157232390797,0.974251577526308,0.9694114527808809,0.959914069116993,0.9663899423499781,0.9632833205036941,0.965646891475796,0.9678850056222079,0.969922222907764,0.968921900113118,0.966652568477772,0.971186831520931,0.974525259075893,0.968476817129014,0.96980367890884,0.9834281439468059,0.9795258977414909,0.980447977952756,0.9767115485883091,0.9740517971984541,0.9696488831392629,0.972870411694745,0.9710854646753341,0.965223307271795,0.968089324975083,0.976487106642025,0.970731800407713,0.97340566059671,0.9768401515926559,0.971871648345322,0.9693447798480749,0.970855471386953,0.982970497204501,0.968230147439577,0.9740715188250971,0.976375077829731,0.970508379768446,0.970547906511965,0.964205414696467,0.967491120387365,0.966595203082356,0.967326495712878,0.9703924268389499,0.9778824775483241,0.975848083824496,0.9774065236786831,0.9771976517699191,0.985621988920956,0.9753450440788158,0.984541381678797,0.9665464900611909,0.977127780582269,0.971097023502153,0.968666829022614,0.9718023596843649,0.9722863448036879,0.97284648528678,0.976848945012971,0.9719599643336929,0.9667952274048659,0.971290208966573,0.975967194510959,0.970599915739849,0.973371412956251,0.974770710242575,0.971713748521854,0.9578148712170981,0.961822825071457,0.970426344276052,0.970513112197565,0.967794049573599,0.9677971181242571,0.9711075563260941,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+146,147,cg00004072,0.396504386468122,0.353928525095189,0.333794275741245,0.44839996445757596,0.278726239397137,0.314756283076548,0.328876494989743,0.249551966922483,0.287174674399957,0.292765965928019,0.27783533776692404,0.267804664203998,0.257968992420709,0.258337716672923,0.262922947314119,0.327393405109043,0.358237989160732,0.21528924842702102,0.327793298270931,0.25361359027721697,0.24973381801445302,0.0146882449081445,0.0172671907557659,0.0221894552928622,0.0163820015962443,0.0194985948609846,0.0206888344038357,0.0132960567327904,0.0252669212272932,0.0305041800714053,0.0248302254926045,0.0192975289256643,0.016593636237712,0.0200160741468353,0.0146103055335842,0.0229288461169173,0.0204305081198737,0.0198642150974731,0.0179488155827475,0.0157774991890657,0.0180810052521657,0.0215799992978613,0.43397486679257197,0.410325377313437,0.19596737997283603,0.38073202108113297,0.43529895884436204,0.3802072633028761,0.325669801456451,0.323119739318467,0.511449601285446,0.3696426144574,0.35660861502416497,0.20014997184817102,0.434319750418475,0.500814556674765,0.493300829322391,0.4888017314082439,0.515058405957909,0.0218868869610806,0.0160077184172749,0.0156905424869745,0.0199153533913156,0.0178070274661684,0.0256208305955975,0.017282470798988998,0.020578325879986,0.0186912408253028,0.0219275099460789,0.0219880491761003,0.014424239540578998,0.0161371310413866,0.0160177780449761,0.019908520132938,0.0146277049978704,0.0059368035920964604,0.0204265142083695,0.0124133995740655,0.0155379472630504,0.0148815706357718,0.0162379414112433,0.0223714522284513,0.0224822384699629,0.0163973721394175,0.0215280985885137,0.0267767247473859,0.0151153192448066,0.0251181510149805,0.0201888956592538,0.0230912671883365,0.014835765866374,0.0186238076207653,0.0231447494462019,0.0158401670969924,0.0328310970636313,0.0241590184055496,0.0166670815580651,0.0185130791575242,0.0153766631437591,0.0204277739975427,0.0123777722532872,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+147,148,cg00004073,0.9090835953276,0.0083350279856803,0.503705993020049,0.9009605542629759,0.450224689477383,0.007112722319950179,0.888668891045677,0.0315946402916447,0.828999155255616,0.45715712985845297,0.8892045607241259,0.8499954037052521,0.44354611361808205,0.0234442564839299,0.902015705180197,0.898226989754213,0.45026243910274893,0.434913224617325,0.8694852673255359,0.847073426056537,0.8576514679177051,0.768061046124935,0.00663988218695914,0.42574318594814203,0.7312062533924479,0.49918691000120796,0.0111373031865857,0.7547141707249659,0.00515773480012176,0.7235752047131591,0.423300149224352,0.7369269234105541,0.7219663391259571,0.452238465506901,0.017731846183993,0.650805899685728,0.700956703712973,0.38592105644668295,0.38751668765555397,0.658221646465805,0.61982345974001,0.6381907556944421,0.934175442425455,0.8851783486166079,0.45072047386054204,0.0062814914411888,0.972191758965047,0.48822532092190707,0.914884513204394,0.449512533199057,0.0150052000457572,0.958790067743443,0.9050292907882661,0.7854995047980841,0.9429538221355641,0.47974786343760295,0.972659509152994,0.486596525453574,0.9646386797666079,0.8352369378807901,0.007764653734930079,0.477595861111117,0.8419123062650459,0.467831915799767,0.0122908191171814,0.8073120626734259,0.009616770182273459,0.773822850713724,0.4256417051617029,0.8625702396315509,0.879587832328812,0.501692080608553,0.0110068110409625,0.7624741856768209,0.746008090924767,0.512707520605335,0.48339632622708595,0.758933264387147,0.7366571824786949,0.974592428514025,0.9608790878714609,0.0102327013625236,0.498024920615599,0.9561534100398609,0.499280718091074,0.00538046381489981,0.884131276721551,0.0115358280246959,0.84970319635515,0.48414434860508504,0.951481528621855,0.9618765957045409,0.482137101200312,0.010052944844118,0.890183079048446,0.817187590568381,0.5090999894750821,0.474251876943194,0.9488964975339921,0.8754652941219949,0.9680226522603901,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+148,149,cg00004082,0.0585310038623916,0.0415049472349241,0.0621695545617661,0.0489463070019859,0.0791419779667453,0.0571032783406437,0.052166965482992995,0.064118499348891,0.0435107606396696,0.0572418653166817,0.0569671800006581,0.0686478447622453,0.0388226020911064,0.057863039884944,0.050026831362098,0.048038808829704,0.0643949837097794,0.0454256756250128,0.0525730417316315,0.0443788104533747,0.0445832274220094,0.0445534045845985,0.0462047734703321,0.0576005760796075,0.0556930834343428,0.0573117328218509,0.0524493614548352,0.03962935229756,0.0412232287512753,0.0474383165316888,0.0619553119526151,0.0527661384229788,0.0808317476162207,0.0687195199190757,0.0558194920859817,0.0449470633722508,0.0470305999888614,0.0451242327715341,0.0470227124449175,0.0551464223960738,0.0618872839992906,0.0438007352196928,0.0637177534298798,0.0565831158401398,0.0564934011909362,0.0549193798552131,0.0421179605466361,0.0655710865633975,0.0680663120255058,0.0422785584727108,0.0455753843369581,0.0325326804771594,0.0481230530233067,0.0562568619332295,0.0427812356577833,0.0514220315336309,0.0533114780060567,0.0430004439095821,0.0436519628607569,0.0716994066355599,0.0457738028971979,0.0527575524670433,0.0781284236197666,0.0904008800385653,0.0738336449216603,0.0550822609531457,0.100660739599145,0.052360416028556005,0.0688456642477133,0.0651370107904601,0.124146926052274,0.101909874469912,0.0957705954330603,0.0519669507258974,0.0475535194200121,0.12947412883454598,0.0868798755224645,0.0549227197905954,0.0471301441040793,0.074361821318989,0.20252954433735698,0.09425822183971601,0.12465563910404699,0.19837393405612302,0.13952041087072,0.22124883809035603,0.11912326459458601,0.141894572375035,0.0809977692486771,0.0918505873030564,0.11670996529872699,0.162576528204336,0.128837973028051,0.139683549167017,0.11647492031407099,0.0777121417543405,0.146475327079547,0.0798665722556825,0.150014522033085,0.0730853965305997,0.0644996456406229,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+149,150,cg00004089,0.8788165006810009,0.950172807990853,0.913051321343472,0.908226087692783,0.924448988812013,0.8935073804214521,0.899321096690225,0.900991046414396,0.916470812862114,0.8641520523335241,0.946225794005894,0.8166938732200552,0.7893490610001519,0.9570553721142371,0.957188740899803,0.8222130035354019,0.8670254186610541,0.93536456947393,0.904047728372863,0.886628377869788,0.924845134859405,0.977150516637234,0.970507075113984,0.9362643031518241,0.9452134437242501,0.937158033774951,0.9641145140502441,0.9561964749646831,0.9585274118548269,0.949588079620842,0.952861503049707,0.9454646332013199,0.938006326643446,0.95365303082819,0.9728489293120129,0.9676356907023209,0.968916626844202,0.9774793823558492,0.961552346498698,0.980395261698045,0.9566095006133158,0.972260562823101,0.72437428361516,0.890313398818625,0.8937019974973659,0.877430075647495,0.9134690338509541,0.874618060809272,0.885581340092005,0.781889992677935,0.39447872707584797,0.7001815577182591,0.646468997211425,0.8706923211030699,0.824315124378682,0.847587846280607,0.7152468149384059,0.49683587096354404,0.6487462112616921,0.7914695803188699,0.9492418694428871,0.940166765919567,0.905607190509495,0.890678453914993,0.867066813939438,0.9501233629620001,0.7885788549293441,0.937809555098425,0.964255004835241,0.793515952461717,0.8106582930485129,0.917899221101222,0.794966316330989,0.9153518269322349,0.974493048054259,0.745166210496203,0.789446196680383,0.9190150931519979,0.932917758281886,0.7734441376227641,0.6630919305339069,0.792183491712059,0.7318199638450551,0.7639735167761679,0.698224763797884,0.725821136357492,0.8069049882054872,0.8090965602564101,0.8200817398340079,0.8128438988795409,0.756310760458713,0.773177431084466,0.7544609285568729,0.7430507201575771,0.8237752959932941,0.8619857322447578,0.744082666320948,0.7699314872383709,0.640552429081085,0.8742500652714771,0.7586100849135029,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+150,151,cg00004105,0.56263633841521,0.480432076341122,0.547458862452744,0.575785219105817,0.466642765053532,0.420330257381739,0.5176523821638521,0.49370570449510903,0.518098462846302,0.558299303680455,0.41764101340290005,0.597421630242275,0.512187575087125,0.4407199494254129,0.37158008460298203,0.588214434620164,0.515792090324902,0.545342546248074,0.405852353909136,0.531713871931991,0.554125239498091,0.353651842685832,0.37488041785982706,0.453390382675069,0.333303218408337,0.41022192633553295,0.42245969072768,0.36784652903045295,0.39383504929650104,0.374899002726406,0.433702996402423,0.33303937251771004,0.35046512719463696,0.372761617916873,0.297215783088089,0.344728609928145,0.310533567332563,0.268612264162721,0.439804883460859,0.35785923645778606,0.48236568854174194,0.36236547328613705,0.668870130365496,0.618830175535025,0.507044720404308,0.48766453844936697,0.786527302741934,0.580278464979551,0.517101918100944,0.562316352200886,0.566309328238931,0.46813759016785206,0.452789644506458,0.47048871285492705,0.828245293857197,0.8349471151463019,0.869349603740257,0.843232982361626,0.80764347479261,0.28806478075499,0.274399990586432,0.31121587455285105,0.319218840075945,0.325450577032935,0.318423246514746,0.350503917045175,0.325499845993162,0.395837779856698,0.356361717884019,0.30599721104253697,0.33035336897891,0.320421799417255,0.304379882055209,0.330380549320092,0.247231421493712,0.22343486670603302,0.368478855262413,0.286396532351824,0.275116126772203,0.406872236221174,0.15395178259568398,0.260097197990426,0.289360160873892,0.312965537782326,0.27807152815553005,0.18881746758695997,0.26758614018210697,0.28864525611867997,0.312503726840403,0.271765374005839,0.246573369222097,0.204418301452787,0.12952679701988698,0.283286893306302,0.247867391751284,0.25515473464943,0.17973737499830603,0.310655660797749,0.21747437816003698,0.25899719477775196,0.21241107850367003,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+151,152,cg00004121,0.616841706537159,0.6018487367917671,0.5967567418130421,0.593535681941601,0.540276380546755,0.604606811239997,0.606261571140951,0.599902406149326,0.540137563515024,0.563578588707454,0.585309980607901,0.572541919243717,0.612630882786574,0.579129023183617,0.522297342803983,0.5805332521674169,0.572341398055689,0.527001973231789,0.543606873225674,0.606562837191425,0.549888186868916,0.5625662002484829,0.5634642940407409,0.61751246337479,0.6121648455821199,0.57827597477252,0.603117591888588,0.6419793545385409,0.64874733178289,0.611560702046502,0.595367697922949,0.6395533878250661,0.556133779753709,0.623293096699984,0.570296757392145,0.529476726562342,0.5913490052105269,0.568038908029903,0.571484451851771,0.567274252057304,0.63046391911366,0.554887037048517,0.608373297306807,0.596288518640458,0.5820523997003421,0.5652669674928461,0.5270584302553121,0.590605420121986,0.564008862004845,0.591122632568962,0.551579523775328,0.49085634527899397,0.536374941235638,0.6276016649587429,0.513648753666641,0.5319014009236189,0.6205152067221751,0.561313652130388,0.584790582714921,0.6188623151050029,0.610681536767775,0.601945520339016,0.61756873749136,0.5678595540967929,0.605339005605217,0.617797249362283,0.656234108190707,0.530537157606781,0.577000706933342,0.5998741679196561,0.626605934651294,0.6848949139402221,0.605040287186853,0.536374717301134,0.6564893074767211,0.701845672020957,0.617934157644312,0.6042601482663579,0.6124701728556321,0.613874641545997,0.628156928144804,0.591712677875051,0.5746795269791011,0.634125553020487,0.594761587381046,0.599785453417495,0.623028947945175,0.644297415068705,0.532863940289848,0.599956660154136,0.648198937611995,0.6154936778064449,0.6981538399787579,0.601359296797705,0.529693561549641,0.6441049859425649,0.5971338898452601,0.581514932118473,0.595036964380319,0.611789493253541,0.577827563805494,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+152,153,cg00004175,0.9877455558878149,0.991153941001288,0.9841081253900029,0.9896995712975429,0.973988935182778,0.9833669195818799,0.9845388003823019,0.982399873629898,0.9858921810682642,0.977962474144054,0.9719958365602029,0.9818355251105308,0.9943208435179091,0.986400403403723,0.9814598110994058,0.982756563360707,0.981968105673487,0.974367560486798,0.978938349109011,0.98649306664896,0.98234634253738,0.989558960574989,0.9910117369288459,0.990125232715871,0.9801700557949191,0.989290589970614,0.983273526483479,0.98701760024557,0.984339229074701,0.9874633765872259,0.988155310147908,0.989397141096533,0.9880560100868249,0.9826285266456729,0.976968786808895,0.9722606578879821,0.9849697236873779,0.9807498967811871,0.987167935808119,0.9802497833522921,0.982046724063829,0.9827957810719229,0.9848570429098878,0.98499760006254,0.9841602975357949,0.9866892532276751,0.9724619149541159,0.990009397005886,0.98138749931455,0.985569327915082,0.978052771694462,0.968295755651062,0.9689981458950029,0.979858243219037,0.979180631520475,0.9724581368285009,0.979692379071735,0.974417466715364,0.9776506715098341,0.9735213473375229,0.991659844119955,0.986342581594949,0.9844407761966101,0.977456326288145,0.97607714106451,0.9903113568382379,0.9762013155558281,0.978194029240204,0.9778082291707819,0.979461083012383,0.986855786352866,0.989962483667552,0.9810187565567728,0.9830117833112891,0.98705080496099,0.9876963479978101,0.9755362028779979,0.991062339364288,0.970998900297592,0.9872647480033829,0.986005734562982,0.983332422123692,0.979913024155457,0.9837415301126321,0.9791778985249878,0.9831736163346,0.9872194136072301,0.9752436551085,0.972907317837631,0.980031904058863,0.9869434990003951,0.985644565392283,0.979896641854247,0.9889542266834742,0.976066756204185,0.970606125003351,0.975145464254183,0.978873918608318,0.9817575365147411,0.977119162203779,0.9773405595392529,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+153,154,cg00004192,0.9468131096866891,0.932964321298192,0.953444438151497,0.962939179573271,0.9011500448119498,0.8642242940774392,0.927449333546261,0.923474225476245,0.913772871348225,0.9557162166926501,0.8986088415767829,0.9308920475830179,0.9268014839976301,0.9161958205930291,0.9283153830485241,0.9494778492230721,0.939220587703846,0.959483527927697,0.8915516949023942,0.937120018115862,0.9507972201452479,0.960259063805998,0.9414300022259291,0.9530971909439448,0.932463373526732,0.948635995160329,0.971149971773057,0.9268509796711059,0.958622272841557,0.9546711531776221,0.936727250368768,0.947660946568523,0.959690043655785,0.9561721719123399,0.93927013534139,0.9423766899624059,0.960086116057138,0.9271085856751751,0.935410857021308,0.9400144847458629,0.946062222573192,0.942014342779005,0.9507158625687991,0.972340479183899,0.957077255483275,0.9589354283799191,0.971032128034229,0.9409839996373179,0.9419118506008158,0.935300718015189,0.48766790978645,0.598487818757447,0.640084990671448,0.935712088459135,0.971520376077588,0.960468721771266,0.962605595892923,0.882435198196457,0.9552944207306509,0.96572118904214,0.9761370146584621,0.95441714242217,0.9696740463117159,0.9572403922848101,0.955251654776729,0.9547313369538071,0.9513615751050699,0.937558604060308,0.9509535379889359,0.946037537113187,0.9432348849030301,0.970361282980768,0.9447892711752729,0.9666616296942149,0.978116630147052,0.968852584049913,0.927174717934109,0.959762151306228,0.920239981165728,0.9456647754014391,0.967350506164566,0.941320231055836,0.9394526142832931,0.958510203479252,0.9518371031609381,0.9515782165842791,0.922249075334902,0.9245609653807271,0.9435308490094451,0.949997669641457,0.9376126647337679,0.9158754173057599,0.93255674614656,0.9424313677884151,0.9430733287711128,0.954165957904447,0.9237922545479069,0.9186812050624978,0.9174051283395509,0.941944112413895,0.9124571229071992,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+154,155,cg00004207,0.0531252956840689,0.042478743646214,0.048673450177672,0.0567966553891369,0.04938080717999,0.0615637052780345,0.0628770956000863,0.0446003239206818,0.0475982797261443,0.0452372407887763,0.0565712244681874,0.0479052891295805,0.0328694264992123,0.0487745961001345,0.0668308621839896,0.0422121488579186,0.0616422436792741,0.0312663155251006,0.0597938097042373,0.0348573197833224,0.0391412130654066,0.0309968081451274,0.0538459592694821,0.0440886996597928,0.0407550048392813,0.0463911414222794,0.0360620005193105,0.0513228754601789,0.0459133671843571,0.0552026543505885,0.0797499986895144,0.0350099382962321,0.0383059810449929,0.0392111899322263,0.0485363249425849,0.0617579742766486,0.0656665499862557,0.0331148601898009,0.0357351675836416,0.041302863536182,0.0597387133761055,0.0487937759631846,0.0495623425102371,0.0405746216724947,0.0364554312782923,0.0563214612890376,0.0316642753080449,0.0427618285196407,0.0589817884466866,0.0304883024810122,0.0415408569605894,0.0348191703474042,0.0452465545953463,0.037153835192134006,0.0404490654106623,0.0401635661075169,0.0354549195507395,0.0460964352864706,0.0372926517525585,0.0323758068027273,0.0329046605543616,0.0463039030760646,0.0435268217468817,0.0533840504444522,0.0505635196786902,0.0383443392172664,0.0303612575777874,0.0515689721422969,0.0678084204561743,0.0246638960787686,0.0338166852956306,0.0322918230801292,0.0225712119641915,0.0464905425024403,0.0355730681654312,0.0197864422210433,0.0302114663008854,0.0278186393478584,0.0288001088576113,0.024860838271569,0.0223704833865692,0.0277656874084221,0.0227946867658113,0.0200004416212179,0.0392494840970242,0.0286972931568416,0.0384418212612094,0.0167913982480977,0.0357102602440174,0.0399668118015195,0.025561051246164,0.0141250928411393,0.0137354246825474,0.0196593622485502,0.0341666104680061,0.0547367072476712,0.0283019648527827,0.0330938086307457,0.0250631752186659,0.0382758054625838,0.0226219450964568,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+155,156,cg00004209,0.837187721969783,0.870150918441227,0.862714740214019,0.894876890190524,0.8713485355709151,0.8765942672660769,0.8434191440786801,0.865536725637894,0.774770073972523,0.864946386836264,0.8814670208074671,0.872401216454124,0.893301856704842,0.861826106438597,0.8606923265479159,0.8926335186135991,0.791350624657225,0.8592491160768521,0.8379961813971969,0.8869673711090129,0.8290600260065719,0.7683075350399681,0.8757269864443621,0.885695815342531,0.8774409191129059,0.8729160279231819,0.8965539927242991,0.859448627603088,0.890294161995385,0.785108244527689,0.864445870481025,0.8652614512779481,0.885897979040024,0.895313508332085,0.8615172510649429,0.8443285871123319,0.863251445343739,0.6777101851233411,0.8388468272977879,0.837099836699374,0.8459551782329741,0.800440282414024,0.830067199288245,0.89068788727665,0.8691072881180111,0.870353431698972,0.7875489570897479,0.8628283650711881,0.8861567228088841,0.859197121683552,0.853220208858252,0.8861896889173501,0.8169637195390609,0.8427448491988471,0.7588373393880999,0.8748444232466701,0.86015405018363,0.8504926078875871,0.8572144996736041,0.783375765922571,0.8926286297704821,0.887898761445111,0.88791443620325,0.8687111151136708,0.879136267017032,0.870903758102607,0.8727709918183741,0.7827098581608979,0.8643931842178599,0.870420147021906,0.865488669053735,0.8814923875583001,0.825600683747237,0.852492732741179,0.8789874819280179,0.8073435750424179,0.83953999499459,0.842730423081557,0.88789349407638,0.843956943914511,0.8290474769595809,0.862285930366436,0.8609209299164631,0.884679882876314,0.8659105558488821,0.851039579309717,0.8263902560233102,0.859366058988102,0.7425713202701709,0.871654264909497,0.885855238795579,0.8653458015728199,0.8767684477617459,0.817133785109738,0.8400573983144691,0.838003500639092,0.7845720789592031,0.842708689612927,0.821015524224957,0.837002968564813,0.8248478451754699,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+156,157,cg00004255,0.5724345870940251,0.649787119555286,0.502037793859118,0.601405440885431,0.511439628772229,0.403923302390665,0.598513765873624,0.7654627503339809,0.591513829131607,0.7214882015290109,0.473607947619722,0.7931527008597671,0.760413929497578,0.813243946735837,0.65878990066089,0.6949746913009761,0.514236673134872,0.7107223826927769,0.6050082073979871,0.7334900193358579,0.567413240212875,0.991273448933452,0.977795399496335,0.9844581920941329,0.982203965465287,0.979714928216902,0.9871530115469259,0.9776228064427769,0.9870268786147169,0.9846560527653392,0.982290469435706,0.9894835253684509,0.989493456037353,0.980383464168405,0.9858500159792081,0.9748766654788751,0.985136594643742,0.990135935209139,0.987361974392149,0.980702742136472,0.986535882384197,0.9894049711541758,0.754138119308337,0.6916890007001479,0.66505263825504,0.48530269529087894,0.92384762250683,0.40688524635740003,0.500255923062317,0.624180885705814,0.921464016999126,0.9526356706321829,0.904117987211038,0.620315517155077,0.9786385257329442,0.965564028814467,0.968997541659301,0.9780423920052421,0.9390493207781779,0.9876395477959399,0.9881117522750041,0.9691622024766908,0.986337682579814,0.983477629500035,0.98430998387577,0.9793746036871172,0.985383345158972,0.9758369597246909,0.9839978103581509,0.984446905320231,0.988792691626885,0.982247492019278,0.9829746846448871,0.982182896874013,0.986738607317722,0.9959050106365591,0.9897815388784179,0.994963842641754,0.981228686149671,0.990788676430833,0.989931023697667,0.9834085902945592,0.98895826576599,0.9916621930048231,0.988285972272692,0.9906955964378509,0.9826690706666021,0.991228127823213,0.989112089147605,0.9825142301761259,0.9889257175565269,0.980397483982085,0.9849924816912271,0.98222171516542,0.980936926928065,0.9887238011493321,0.9841305143515849,0.9890423782629291,0.985939416008478,0.9875969588228198,0.9844047733398521,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+157,158,cg00004257,0.044863203890127,0.0474499278704759,0.0291464777447242,0.0524960877315049,0.0284496458835595,0.0361598346885192,0.0398428386247742,0.0480566641818401,0.0301049062015726,0.0395823217656674,0.0517105862021103,0.0618877360511104,0.0307536967551965,0.0295022270623257,0.038633432128058,0.0253892970533476,0.0308788579789446,0.0330572584638505,0.035984878241786,0.0356600468514625,0.0433622362957056,0.0364165604761773,0.0412023074664095,0.066942654208064,0.0607110789727676,0.0643273839830814,0.13612021152773301,0.0485057487168882,0.0472398549633076,0.10526400593964699,0.0606291864560909,0.056819090946121996,0.0490651623918803,0.064670753313933,0.0396536631409774,0.0596459637941745,0.049266161598510994,0.0304608547224611,0.0476888036629955,0.0453523887185442,0.0560396289469637,0.0404250313840122,0.04405463993028799,0.0428621490521771,0.0398864036899765,0.0326317520334433,0.0452734077803342,0.0506934222018407,0.0366747973466779,0.0288007355820544,0.0325904005991867,0.0241735096178056,0.0286054189417174,0.0300411630853235,0.0294569000113796,0.0461034341071733,0.0408866775031146,0.0314052969508819,0.0374009750598083,0.11474870274025399,0.0483627715677214,0.0670763947532353,0.116717289751479,0.0573633937051431,0.0592950737875471,0.0728796345542183,0.0701106635891345,0.0836629688960615,0.0544322083692814,0.0605950261798837,0.0618251285834485,0.0877389779384455,0.0583079809688549,0.0915517357451305,0.0633442413260432,0.0852459838167751,0.0643572408570664,0.0440424315951968,0.0410002798168797,0.0671596483432259,0.0624336909144196,0.0552205594105034,0.0484304490169373,0.10807189290000699,0.0980654222847026,0.0688482725477101,0.067739285240602,0.0586616301020565,0.0768577337306728,0.0580716497039564,0.0621488511924303,0.066460580390982,0.0711228539110881,0.0387617601797119,0.0745623640873149,0.0649949287066653,0.0636094024636901,0.0539563534532365,0.0457683112849906,0.0738390506690721,0.0909490367909269,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+158,159,cg00004260,0.6020854761433779,0.6057683453231372,0.624080731605177,0.642700199103004,0.6269672707537459,0.62537620516804,0.6466464176280551,0.565956194207668,0.483287553333795,0.541121303401699,0.597152599141982,0.57317261471518,0.41979501504059796,0.537840890875751,0.592890576150338,0.510907897938508,0.579299370542532,0.39971112266068504,0.582461028796137,0.52653115538337,0.501599820352568,0.675656668947289,0.6263675546915171,0.552542533275615,0.623212201993406,0.6354122632678599,0.575697001796148,0.642051955771746,0.540764480871113,0.635931091186558,0.624510414888896,0.6726834152384581,0.601579797077679,0.578368560407741,0.593657070787547,0.593561345045058,0.605586537982145,0.5492810638294789,0.598727924237224,0.526404671402389,0.608829452984253,0.608516050226807,0.5948142885080561,0.762886088875596,0.544281305589323,0.6771632276735671,0.37281246620617703,0.7174125246833771,0.6062011091627479,0.539523910464947,0.587420793841212,0.643645022238156,0.7429324112187171,0.590103829897744,0.4604438252775329,0.44880773687667297,0.46631723491518395,0.39928817357876,0.48404250268588,0.5993938248238361,0.571373762881663,0.667245688712688,0.6789846542646639,0.625078916521046,0.6238612481646291,0.657448139379531,0.5605632969546861,0.6622820672745461,0.6207618308280861,0.6487908638073621,0.514422434153741,0.612625288099705,0.5271834803876271,0.593245445399438,0.580613735930432,0.684205898277717,0.619059705756985,0.61244725370958,0.6768869428923361,0.454454930601556,0.6739050507697291,0.598956686773921,0.617721491275686,0.748822349736011,0.626012045584032,0.594516474672678,0.620980877732246,0.5076518842870961,0.5932974404486109,0.563825046849022,0.5887736833519139,0.559055378037025,0.5853643718604139,0.529165108288264,0.5550007233016371,0.564347683125489,0.611104804942639,0.597383579276964,0.509844071120216,0.513493361244492,0.5838077557033959,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+159,160,cg00004306,0.9624171924119592,0.96589629313208,0.9636620083003041,0.9283102031893571,0.928552772435638,0.9480881838585171,0.956352008665908,0.948972690801516,0.926199215192395,0.903399437588879,0.900211732770569,0.933155002790537,0.924565931532312,0.933440082836562,0.9178370903250099,0.8895274442439101,0.926387755218509,0.877441191078292,0.9034355548816569,0.930322035100259,0.9117077503098578,0.9421477930123499,0.987175047891244,0.9762570949536021,0.9709411410050219,0.9699155022097841,0.9768093095645709,0.9831659652517891,0.987712484399583,0.977907347181744,0.9740853823216801,0.9408195684244549,0.967322351384865,0.9713311488303981,0.946201760579223,0.9450390726783701,0.9736188046901629,0.831991616329607,0.913260297324068,0.9282278514876801,0.950414224897331,0.9539302111569209,0.840126075718054,0.792983321086266,0.952637803040525,0.933067603486206,0.797975910040831,0.9315696529262208,0.9150335051004301,0.9168227668421159,0.9037321003737159,0.8486231126760791,0.7219128146806709,0.9363762592359941,0.6920029145172509,0.5850130302220389,0.533150829600686,0.7394335360639099,0.6264789190781479,0.9441804442720378,0.965948846962965,0.986792417540552,0.959504015210658,0.943944737709315,0.953521489048779,0.977707350368694,0.9315623035856859,0.940852448696751,0.916197921412162,0.8808105778036559,0.9319894399323471,0.9737282211346121,0.954384804426779,0.948480652983136,0.931030962578797,0.9002244858647079,0.8883168892825909,0.921986299941328,0.7321418406990831,0.8814179546653851,0.9239968097070742,0.966527314439718,0.93968209472228,0.9394133628448109,0.92863198785698,0.925310345017509,0.94342664228095,0.920033570883049,0.9208366662069059,0.9370592661778101,0.9510664213461391,0.95133963087004,0.9619522775320061,0.9565879949669441,0.9091808095124699,0.9363481003067142,0.907357951872131,0.923815575059124,0.951987066433389,0.929413931995855,0.880241018243777,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+160,161,cg00004322,0.9706633272586371,0.9864153272198729,0.976828847098114,0.9733952629228879,0.9172219484062428,0.9625010672850021,0.964398628688371,0.965753899393014,0.9716501254524941,0.9680102181343571,0.9676745730177649,0.9724331726479828,0.9768768990323969,0.965998745293746,0.9523710446218591,0.9745927105201909,0.953824426700692,0.9561601928321409,0.9497592180584058,0.9692009242132079,0.960236860763792,0.951703823748395,0.8982227436103779,0.9031543440837579,0.9182790785855409,0.8897593898721311,0.924790021258028,0.8452854809909959,0.89716932153466,0.89484824935735,0.9209539643788721,0.9116265687768801,0.8672988116621329,0.9492000813569529,0.9061760672333491,0.8436317163751059,0.853952703902495,0.8486914510903671,0.912545174554413,0.931946698074606,0.9389211868031558,0.912228243078292,0.926855520913037,0.930594429540657,0.964359506590191,0.975969117800913,0.934562677577918,0.973758472981745,0.9595033868069799,0.9567029218194171,0.9431835313874329,0.9089628175030391,0.832755665232852,0.951538894263386,0.895706019941697,0.9192395098584301,0.882004336476509,0.8874431943232919,0.8764283815433499,0.7464738580457071,0.7836308154399109,0.78880953174181,0.735843745793512,0.7676848701467991,0.7116249776529829,0.765151849576136,0.35171867518068395,0.747298359433657,0.895266696752553,0.63329755136294,0.36716771966582,0.7020075361846752,0.310805160164646,0.6767988379463621,0.8615552782187759,0.186851969229193,0.221619070426073,0.785575078148216,0.764112746871352,0.189038101071143,0.040879969091518996,0.336353402170868,0.15173535535082,0.103924218491763,0.219957033237406,0.04350818790320601,0.358461624997812,0.0375156457768252,0.342979368087327,0.323456104199633,0.0491377452329482,0.0368352140427901,0.0189378095594141,0.0308031381411424,0.200655014635677,0.45348264698583096,0.0409563795838518,0.0413932175572786,0.0554166765299159,0.320980617957983,0.0369148237549209,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+161,162,cg00004421,0.443930716425246,0.6598271976765021,0.43884450098464506,0.619528852840371,0.45855180096424697,0.340264029648121,0.525977873542481,0.596873388263082,0.356566775908965,0.502909974094207,0.508858697535537,0.355010256110245,0.35761932284161607,0.507857958628449,0.511622651318376,0.4168944915894461,0.341053101132659,0.19340674329994,0.329759029882066,0.34569990235961495,0.46060452785014705,0.258923686859992,0.22658487378294898,0.38099111989334494,0.32630185090351,0.33581027411740505,0.228791886939737,0.33365074385562504,0.32933472902364397,0.227079267605589,0.240816595648112,0.32420387469522605,0.23813297863671698,0.41819707241877707,0.22870412315124697,0.30435673343992,0.17140699800106,0.200459426554477,0.25652292698377605,0.227880647992528,0.348294933260696,0.239790687546576,0.480020218332362,0.37933786601974606,0.48293217783063597,0.397447692450108,0.493610643648141,0.599101532915407,0.5208976990075209,0.39592218320348205,0.270164512560512,0.440389370349406,0.297381454803212,0.556537470875549,0.301578722937456,0.440236515748074,0.32212835196581396,0.413232925864369,0.35713068901901396,0.34033276956353703,0.312593880070519,0.236104539698363,0.409614693558909,0.24070193420118802,0.191142466932339,0.3597940526814079,0.37604466633790395,0.24900058548725698,0.221661091106488,0.34947245912723196,0.319671377193554,0.25865440346221996,0.30772594095429,0.33436389820408197,0.29238899565908,0.33770404223447903,0.288388893406414,0.18868428472487603,0.30316813305859996,0.32818573167090803,0.349886038527565,0.344742127599181,0.239850573603444,0.399016851114597,0.44723059128151393,0.242303064041037,0.268820323657067,0.37007997310589397,0.296146997764792,0.257977274539241,0.450182085406647,0.368281241456274,0.320160920459625,0.273959368448906,0.29245415747217796,0.24427410398272,0.26120831267112804,0.21451575547053603,0.31163401644871,0.32177912401002506,0.349114414841389,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.02060590481778e-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7986020995362e-09,2.80966020771434e-06,0.0,6.66133814775094e-16,0.0,2.5899065522194696e-06,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.29254392866596e-06,0.0,2.88657986402541e-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+162,163,cg00004429,0.516869206523462,0.467833834262131,0.48538606108900106,0.461715543021734,0.48494944602023793,0.398053772661524,0.518955521768803,0.605456954826224,0.665509048103514,0.696816076322415,0.45733539303922704,0.7580880397613059,0.670614664537022,0.484176101933449,0.374258580682443,0.585350560218475,0.4208738160447779,0.731436832343454,0.40163840446668103,0.821885573927711,0.640137188077196,0.9698036058489351,0.968449900059635,0.9697711403177289,0.945133062671419,0.958106272736917,0.9559956295750259,0.9641440551784491,0.985218222878923,0.939263429122634,0.9476290207099859,0.9594803895279609,0.976305162075364,0.9696185205627289,0.93985207988811,0.9468586026935241,0.956907062793466,0.9378868422028191,0.9643173724886469,0.930201824731562,0.969122457576703,0.952704805133165,0.65149061127886,0.508231922676507,0.6564152794212049,0.394085529852405,0.8598777286565359,0.3934672132462879,0.443506493824062,0.545053421353457,0.650935545319845,0.6309221134439389,0.43390176203062897,0.6760661423502838,0.8977648792919258,0.884835149611397,0.9631668808890159,0.7967415572417399,0.90737123695669,0.95364680247382,0.9547069403219391,0.93667999148544,0.963619107427996,0.9531645192141059,0.952728866175025,0.960745992837142,0.941369994684231,0.9386886945269258,0.9552453067906821,0.93193824667384,0.94171263918806,0.971185938450746,0.9409916994590641,0.9474799554993499,0.9618138076431021,0.9678319575979071,0.945371205202733,0.972144907227812,0.9659824207352221,0.9679894133670659,0.9541996774613399,0.9284671731953291,0.9403529593568578,0.9712117706710159,0.937628498465522,0.923002878051808,0.9269290997778911,0.9647469079973109,0.9450082911063861,0.941929053622472,0.9261761177767021,0.9599586817003779,0.941973466854427,0.948307248541192,0.942587271022587,0.933721983960157,0.9328390986605459,0.9574173265385879,0.926147762636282,0.932074425943702,0.9445393771615699,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+163,164,cg00004438,0.9842954755669059,0.985409155679352,0.9844746191409379,0.984416701936153,0.9773620853808,0.985197511525721,0.982843121778113,0.9753526968704399,0.9820954079772679,0.981798919194264,0.980168632946136,0.9861419814130931,0.9893552836170709,0.975463317311359,0.9709870891292819,0.9872372562871079,0.9809047700723709,0.9785295457410089,0.98700237333694,0.985297655748239,0.981589043049305,0.993199556395241,0.9790461549128291,0.981253150697864,0.9771550730559141,0.9861189208829141,0.9849053768386371,0.991403316247652,0.9815212277323149,0.987502825817041,0.9761818851845491,0.9766364443761891,0.981068744299244,0.9737675897745341,0.982816692176653,0.980418725076655,0.9783008724629549,0.977925212371314,0.9761597334871469,0.9772799776193559,0.983419470421038,0.9720690528124979,0.980889393469511,0.984629997977539,0.982233857351542,0.9868653789701758,0.975162843949635,0.9836160856571139,0.9772357303500259,0.9765067708102428,0.8203206671436558,0.754963053638889,0.9533300134035659,0.9787702050411421,0.974639820302998,0.9763316391076009,0.982453992243299,0.976614500218197,0.9827787677098051,0.9764179468946551,0.9933606173877859,0.9830348088356959,0.9873505913214571,0.975596098042474,0.9827441578647819,0.979640430510423,0.984547360336933,0.981722417210726,0.972858502131882,0.9833394956738292,0.982212907905302,0.970713656864126,0.977781367997237,0.9837755681511191,0.9928179775030731,0.991573303498985,0.9815502866711959,0.9913860969362621,0.977775283288333,0.9874832465491601,0.980457520749691,0.979719846641154,0.981331053735832,0.9803276110151841,0.981800234510208,0.9812537380067049,0.984624854006142,0.97822234776601,0.972273183716431,0.978001903330843,0.986690135881592,0.9818082728579179,0.988388621293336,0.980007381377294,0.9734485736892541,0.97796384699551,0.972722784264393,0.976051730520847,0.984750808922526,0.971594998386165,0.987104135396174,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+164,165,cg00004454,0.768983552230529,0.7372492406408822,0.681444446594809,0.8011064962777791,0.54765128864216,0.7244024358222559,0.581066448458429,0.7418966152513451,0.664977455980777,0.750480723167782,0.5223942412216189,0.6715956475883821,0.8667290560355909,0.622299594365709,0.62173446202303,0.7148948957808059,0.7222023832005441,0.660357803475078,0.59851414233426,0.770029058585622,0.6569549198643261,0.7125381566134709,0.6716796520521441,0.7144843205212129,0.6743925032078871,0.699724839072099,0.7207562208618241,0.773592128993875,0.7248646142674929,0.692977291406182,0.682968013188093,0.6911678887862839,0.702634238917235,0.748781589405192,0.65956964197683,0.6893210838799121,0.705254076460869,0.6545349824521141,0.7209443344735992,0.6761177076445719,0.659434767670873,0.650669962618454,0.791470023675015,0.7780498542978109,0.630617296065722,0.7669042277921891,0.8165890946732159,0.7828278268687842,0.5847137898286731,0.715421890467277,0.7080006120078209,0.740258921465553,0.628046528541436,0.729686201219424,0.844528255626418,0.9024882389516109,0.9060386165314649,0.913941635908047,0.894080594345677,0.596499792163168,0.6846930037090811,0.7174937255116289,0.6974326717670861,0.685608209239607,0.7087282501332409,0.7341714863603671,0.674885699605827,0.7138993481524009,0.695774001076684,0.689377002132853,0.6725159297002199,0.7837609013016509,0.681770990394198,0.669507383699413,0.732452124723828,0.650997795715664,0.6310164802315121,0.6717079040293928,0.666506511996529,0.6807840080649219,0.572366134041786,0.680361157976374,0.6873665376836391,0.620019778079103,0.684583965345224,0.712425685851391,0.69707666064076,0.684951301497556,0.7220376568470029,0.6598053098467671,0.6856064497508859,0.7041670954492691,0.761804308038826,0.666725916082729,0.628985122097708,0.736961391773539,0.595988293488399,0.619591184206155,0.6347053599407049,0.680883995552418,0.597384235244208,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+165,166,cg00004533,0.9817727392979351,0.9642728422651858,0.985999433635716,0.9844037682852231,0.981477006662176,0.9819916520556501,0.976341117030442,0.988695960664016,0.990299708215034,0.978296115626639,0.9733236259839971,0.98157364707228,0.9904588291456079,0.973635859704202,0.9830876384913421,0.9857461573698041,0.9761903366309151,0.977998065587013,0.976879489745231,0.980045005401708,0.988391048257053,0.989148842033675,0.97814417192429,0.981226315921767,0.9766145744453899,0.9808020588628441,0.9776355363564241,0.97436259269299,0.97513518940723,0.9679266673386792,0.987591456674369,0.9864808276941679,0.9795359838304458,0.9756844538133391,0.9743697964680942,0.983841007189437,0.964809064351649,0.9896237903824079,0.98106970892091,0.9798783393749251,0.9836464989450541,0.982462063625949,0.986304688200772,0.990345261003391,0.9689811530394601,0.9838600507046039,0.9903843182214351,0.983403643909173,0.980214595374635,0.9872297558645451,0.982734753942106,0.9863662403339709,0.9878888709157281,0.971438756352793,0.9893853512196159,0.98793238805522,0.989716167111647,0.9843594018310401,0.981252556972013,0.9892304271878358,0.9903542675265959,0.9764124590094571,0.9762833085158509,0.9829249805101908,0.976053415393752,0.975737610300289,0.982200462462395,0.974365512307899,0.977258044996407,0.9738669596319559,0.97843524510002,0.9586235650376591,0.9740827015946071,0.979805259791275,0.992162680984412,0.9931576572615759,0.9877904752616291,0.9865741160825742,0.981687542300573,0.984760204397396,0.975548654375211,0.9790413338719499,0.984323812372081,0.9882743020844491,0.9796360433710679,0.977861550297238,0.9886418235195858,0.984606970589001,0.981505165117057,0.983075580077109,0.977316943304565,0.986907562447943,0.9821287441259431,0.976023002739084,0.9764995031968979,0.9711282586489691,0.976754188770163,0.9843146026466629,0.983567257979476,0.9836814160130051,0.990415704131857,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+166,167,cg00004562,0.876103545523105,0.8931074652038801,0.8652562481047629,0.8925911794098291,0.809138972050668,0.8219139639512901,0.8722862013425441,0.855904122705183,0.8500077124159101,0.85864386773903,0.8438355093661809,0.896438366187697,0.8843695941943729,0.852917392147216,0.831992024786427,0.859550076599497,0.859030828589876,0.815351857675164,0.825387431866615,0.888089512150359,0.8336582542189359,0.9137723896311151,0.917154685907187,0.9267311805378579,0.90248964022865,0.9026472768794699,0.9044268941984149,0.9235594763366659,0.9170923854995079,0.9122268049563409,0.904735450635582,0.8816287302618661,0.889302234701145,0.90900736340453,0.8690443889704169,0.864262376553662,0.904857803137655,0.83535546470401,0.8952773038966858,0.867990047557797,0.856664104100309,0.895143722001736,0.867700121408524,0.861761580085783,0.8368096015282591,0.83013425492482,0.903370068885246,0.829955705760867,0.844739122936033,0.7942408093097441,0.6701578695043879,0.7180575681923841,0.747487030047962,0.845196371147106,0.9264333787361372,0.9410129682020749,0.93307530475446,0.92538471420452,0.9102196662138121,0.772564797554947,0.868629742562037,0.879040941123442,0.880767029835784,0.837264277597315,0.8235981074977221,0.856620520577596,0.7848111594648679,0.8345617984882471,0.8917519446387321,0.8135868461781509,0.8045373242233059,0.898278083698111,0.77353290574716,0.7802806300345291,0.8847970340335759,0.6967414131515799,0.815270079055088,0.7608249136055749,0.8629819504260771,0.793269457105141,0.6435350030059761,0.7838019178429949,0.6822422169964589,0.709561197682941,0.7201825721740609,0.717042155224023,0.589453734945294,0.7801539539646651,0.755327910487069,0.7208151199814509,0.7543773141111361,0.7806861618681792,0.7903551448798829,0.779074560576001,0.599250557636271,0.7704322490636291,0.592311547104463,0.799069315559634,0.58910003870019,0.7891969054178419,0.63379384940677,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+167,168,cg00004608,0.57959981402552,0.418511566598111,0.592118633679164,0.601445400562039,0.594898540790184,0.585693298334955,0.572490395634937,0.6360297040969111,0.5786471616291279,0.586620178636962,0.5319645271200151,0.471367523866765,0.46343119058093196,0.5927177237149929,0.498997820861273,0.519802322744544,0.61845957868585,0.6091911698189101,0.5344341448261,0.46593437005179494,0.6457292528432329,0.985599079998879,0.784297267224239,0.959140177709999,0.962896433386751,0.987633010728225,0.9682181888272371,0.9154221060522909,0.947665756798168,0.9730592224488659,0.970820492739971,0.954225006924538,0.9752726636358979,0.9689908939375259,0.9705774717296421,0.939316105510225,0.934550091099418,0.9791053569600681,0.9836763638346558,0.9660222885202259,0.975247601159568,0.945314562875842,0.570882652461049,0.6519027783428871,0.575133138639312,0.550815392725949,0.561214868616093,0.65940650012424,0.532709159487742,0.586320376062709,0.526353994577058,0.499374735020384,0.637462216026084,0.5636022160748361,0.40786273388707206,0.41263126904914094,0.330704353857675,0.38707653187140295,0.462527420978777,0.954231804923521,0.818137446828582,0.934916801121445,0.9563629124698041,0.9574645603179541,0.933225272327684,0.926849432643335,0.883799842583755,0.9371395582762049,0.948655548157002,0.918718429576912,0.8751347286468459,0.91246591542401,0.804134823101233,0.9242983003937891,0.918186027091877,0.907713965454062,0.9443183051187509,0.973944333789847,0.9609020648263101,0.8301671205643341,0.892692040264121,0.802046693445798,0.9287062728952421,0.9238254802980072,0.908622215219343,0.9165724279640859,0.922592909681704,0.8709939003250601,0.9085494826711129,0.8984063220760821,0.890090875663827,0.897654400439415,0.8899557488162041,0.860403185478342,0.9428870672773191,0.9062586835755259,0.9004053852880519,0.9175250604818821,0.898797570859505,0.9489366503307679,0.9516836448489191,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+168,169,cg00004633,0.140795562323189,0.0478361666928061,0.0644311671023234,0.144670894813111,0.0459350434383968,0.0287573296793915,0.0636238456192737,0.0647071859097439,0.198683566504107,0.163308925987769,0.0477087214851317,0.161892912189587,0.11313582980902198,0.0432446518854168,0.0453863967117385,0.172310318676879,0.10347657280526301,0.18237081758600898,0.0519481214336699,0.21771015075321898,0.127450536018243,0.0210498101640204,0.0349006971100804,0.0259360568877682,0.0147882088443138,0.0347599430739667,0.0275276278098032,0.0281121657946185,0.0272969740708716,0.0446089260788715,0.030156439443261,0.0373791861347571,0.0329066379714718,0.0239033752770257,0.0222795867127937,0.0263034356378747,0.0197563185028633,0.0220488565637081,0.0379386404699977,0.0262325434630625,0.0508828884214328,0.0221303104439894,0.31987436197306895,0.131634724918128,0.0786498423811865,0.0837924477962815,0.377583327931664,0.0246041849709442,0.10519187389596199,0.12376252426234698,0.0775658478531423,0.0486428583074812,0.0905861635076751,0.0684860232712878,0.41391451316468003,0.4108454359000421,0.383686166909027,0.367758266669272,0.429395639517636,0.0238979816579963,0.0138134936662089,0.0374902199009191,0.0192439076727052,0.0376132232357961,0.0377855560286275,0.0414195000082196,0.0433141952967599,0.0662472953476596,0.0257572500813161,0.0484475111814899,0.041523096985682996,0.0369247620432639,0.0756902242163955,0.0305067886183921,0.0120615966521339,0.0178969355586644,0.0922472291135342,0.0173942208483008,0.0467905622729824,0.0485436170578816,0.07243703062984701,0.0378918910382288,0.0684758980149776,0.0789013791691721,0.141448666818341,0.0646061974158125,0.0685410388595999,0.0992852402461141,0.12739199275347698,0.103740654981275,0.0954101609059787,0.0391656593633752,0.0437403309354865,0.0885366643447079,0.10323441637281802,0.0491291003031256,0.0653486098995489,0.118907596493599,0.0580672173559963,0.0750872986605162,0.0586456043021112,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+169,170,cg00004667,0.33133721013548906,0.31931909865937896,0.21278336336076104,0.24183863537606,0.135324376833792,0.0873447625217383,0.31956799455046697,0.22676339689215197,0.319856466037581,0.381990941437299,0.334299064480203,0.373984661000949,0.48874546881182795,0.16991686503202497,0.24887890552495398,0.348566879829598,0.3918593704676989,0.37577447390079105,0.301614313504877,0.34521641102514095,0.32979031293755495,0.0129783217076793,0.0188796433176298,0.0425422920169121,0.0314181976569095,0.0228899078351617,0.0205953237290352,0.0166530209918236,0.0175404009416975,0.0230104200799037,0.0276976933410145,0.0427867632628562,0.0341262617417417,0.0193252660219306,0.0186060034153274,0.0192709905911317,0.0195125583849562,0.0255746183578671,0.0288414281303689,0.0184584305948889,0.0601843844466871,0.0177837763753968,0.5626807626856899,0.301490854789836,0.137759292244518,0.23112462947306,0.8962165122421171,0.26175694008761996,0.332633427123034,0.30423800192986605,0.5319341554470279,0.474350682982774,0.36615974638951293,0.278782792579008,0.977808876028778,0.9730450486157991,0.9797227949370959,0.956458113414994,0.96129759210374,0.197495226336168,0.0648611328752561,0.106193772441915,0.20516978011386103,0.166690082993818,0.102058881087458,0.11269070014248801,0.42623945532910296,0.16186271587934398,0.0205304537351391,0.37763775205703604,0.364279278313725,0.288885238604977,0.4222538290549289,0.186027077853202,0.0237246356722827,0.729919513304055,0.595353355680329,0.0797518960669111,0.0701152025866184,0.6676933849302521,0.6056427013986679,0.5204638079213939,0.386537218883553,0.673480551891997,0.648190582608686,0.42148029576126,0.514110389642768,0.714198544234692,0.497492982397656,0.50088141385965,0.6629453650413131,0.723159589552282,0.750643750908775,0.616243651161547,0.5710871884206751,0.357713929448035,0.777872140046723,0.8385694785631099,0.7458870306185241,0.40433703137166,0.748299315935504,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+170,171,cg00004693,0.9686925802515339,0.977864389246938,0.95157248002911,0.962519952659218,0.970280504350986,0.9642533703275059,0.968967207879986,0.951932228522056,0.958646816747796,0.9636580165549141,0.961942988484667,0.9687047959964609,0.9720827898596421,0.964127930414508,0.954380268035507,0.956661295660081,0.970155500599285,0.9384832760860021,0.968868105740486,0.962593831064971,0.944032843873107,0.982972294979928,0.961715415642234,0.9652160632527621,0.9620551166719159,0.959668011526705,0.9445873582723929,0.955689421613433,0.9375293356369799,0.9535321477760659,0.9567594083544759,0.973683545856339,0.960244694966367,0.967581748390965,0.9643093206664459,0.9553153620569891,0.930571833845163,0.9559184268131299,0.9650915473514742,0.953003804192685,0.969803471753674,0.9480993086808291,0.974221898390294,0.973998176383006,0.9678866638594329,0.9817183743047209,0.9772091137756179,0.9708315294054691,0.9725966419910089,0.9658618375892329,0.973890962515874,0.960612074698822,0.939384058949534,0.973174154200846,0.979297986470755,0.9790420008765641,0.9800433781788699,0.981644520425476,0.9810579973751651,0.9430239149678059,0.9754301441734391,0.9377763117770269,0.9534472521815792,0.946970214742928,0.9536845258330899,0.9513388952051569,0.930402738472231,0.9485087870859301,0.946503432723204,0.922746254198839,0.9458878118919829,0.949064450888167,0.8941168823846529,0.929172245756197,0.980650117020109,0.9654001957754951,0.934416932265165,0.9791545964493209,0.9192409993378259,0.938548691356345,0.945235316864354,0.947465763386215,0.940218067976699,0.9605439689033499,0.949797773964192,0.923320921316786,0.9553158164970309,0.957107735898496,0.91628825173435,0.9164102446683459,0.917169509031814,0.891091206932271,0.897193889504236,0.958404455794013,0.959463351748124,0.9453068230180791,0.9557266387668351,0.936343426609623,0.9348545632556121,0.9426817183540671,0.905927926164085,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+171,172,cg00004700,0.947255064695377,0.969821300553631,0.9701455170872049,0.916339900505827,0.9535572683690401,0.9664698506788879,0.904227577581409,0.9597257816424151,0.9216853082397389,0.9027997261038381,0.9579338875229789,0.8931052391658421,0.853203049029914,0.972205350583029,0.9694204479714109,0.8633661131331609,0.954791019952396,0.871263439440109,0.973879818939529,0.938810983457337,0.973289483100376,0.9779613714549319,0.973981671599017,0.9733185128719671,0.9749586865573929,0.956619330759909,0.973710146951214,0.96401994051642,0.98031790949419,0.979416244560327,0.9772339745609692,0.9527306263640781,0.976861381101521,0.964885441301636,0.978960285937198,0.961186113927512,0.980853699840042,0.9734604473223459,0.973790970721903,0.965395258037644,0.975395700723106,0.975357013293601,0.742819766777011,0.950694663417838,0.9409434209378029,0.975234224287543,0.702796670097033,0.9731523328201279,0.9707867597691229,0.949772929930637,0.378872146207311,0.41544931178062106,0.841253642872846,0.976395136982097,0.33190167536440196,0.395286483883058,0.223069936597465,0.37927104052537797,0.633256500249985,0.630447363073052,0.836324814309379,0.871854136697841,0.7616693463300991,0.744017248381592,0.7242555631944159,0.9093513751396659,0.347384346463301,0.779727712765266,0.896248804524726,0.564406847058219,0.37006598839293,0.7070028198722661,0.327150113293736,0.7735314502593771,0.9770851013107641,0.168480014471271,0.22876843192196,0.783298442897789,0.898584789443979,0.0990818242234544,0.0344561019052123,0.33142867108250396,0.231441171528101,0.0839564836657091,0.0950555706092218,0.0689301646998808,0.295566100066812,0.0318044920080528,0.35129984353439003,0.31274464584511796,0.0737871873187049,0.0341746381421774,0.0456519173025657,0.0246920761471269,0.255730861523393,0.485261369494091,0.0193250073847469,0.0213038618799085,0.0508939907481901,0.24588732973754102,0.0226735945063955,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+172,173,cg00004723,0.910493566780649,0.9242907641532241,0.91995898654744,0.9481778965645121,0.9039740636797958,0.911700024058303,0.9195294156861908,0.735694487426285,0.9235286742810419,0.873584433160236,0.9261694923474659,0.824841198753015,0.8383928796271289,0.9422352169254941,0.920787308260568,0.880030878609415,0.927856978850577,0.901669941677611,0.9260477194153409,0.872211900287086,0.863126766328702,0.23802867151150198,0.281264971324226,0.337675989284283,0.27314476390165104,0.299272744598945,0.36426278015561697,0.198267829339846,0.190925270331029,0.20443429357004603,0.253371252980258,0.27444197048753,0.20137300361687602,0.21259875464988298,0.22039668619731698,0.19792129025327101,0.175681947439639,0.0608474549150617,0.262976300675214,0.155202551388526,0.40738689353306,0.15898496773452697,0.940989915524499,0.977647870059516,0.7743559975943141,0.9533394975271221,0.957471789107539,0.9777782670507741,0.9346867741643929,0.882711441141831,0.9738557174656322,0.9678021458463509,0.9616120457623599,0.858614323142345,0.930871785363157,0.942272059618945,0.9287107756137621,0.9406173786485408,0.963013512856718,0.46973216936006396,0.216930136754155,0.305519187941969,0.39398595246754,0.379100867801916,0.418059225575963,0.30416092618435403,0.641145414692592,0.31224422543219604,0.244797967360962,0.603333554287766,0.718406809692357,0.555703708803396,0.7860531910720541,0.37830252227615296,0.13777639750152898,0.905900195195738,0.8950514608905071,0.42265227895906105,0.25526927344087696,0.9350259296337908,0.974839090650083,0.7165715465818541,0.840280384051543,0.924169781533695,0.9055808018016859,0.9471264481865249,0.7145797226883559,0.9764849152272429,0.7285306989262951,0.7481768364950929,0.93210859599299,0.9572802578067181,0.9324506766285391,0.96231108130116,0.806915387241625,0.5591867383764151,0.9725679643087549,0.964789912807757,0.9443465745017192,0.784299775672258,0.9775291773298259,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+173,174,cg00004747,0.9755541114197191,0.9913056408129491,0.981400579409532,0.9695761684026379,0.9315686980986451,0.957209569406853,0.964074239179537,0.9662029075742379,0.9626363470506321,0.9581157187663829,0.9110015939276821,0.973480707930236,0.9729806269024059,0.9377728408817659,0.941862835133978,0.9481711846718169,0.9582165387730591,0.9457989047002541,0.9410997715273941,0.957300724184967,0.9361027234881679,0.973579319133774,0.9907731489922149,0.98472038819506,0.9752471187774,0.9825128491953109,0.9829590796242621,0.9886594723605959,0.9924339231981851,0.9816582928910871,0.9723724281985842,0.9665149877744351,0.9767901148467399,0.9841377544425172,0.9573117027419359,0.9404870557237801,0.97111425837449,0.875673269622846,0.947763824432127,0.9548645875329509,0.931212366918889,0.9525754064370258,0.9318911059369649,0.8789903851769151,0.967587385554855,0.956788714800844,0.9232363633912979,0.957251550877756,0.933568841180305,0.9522513125700551,0.9353997074441701,0.8629088325941551,0.611180981270931,0.9595742905120259,0.9089522103943192,0.932539997153333,0.9252803865239051,0.941122970750643,0.911422055216354,0.944629826156492,0.9687305975820258,0.983306361286197,0.971793648210025,0.9525625403035459,0.9643848810918391,0.9865260844736171,0.941490082246621,0.945529537049649,0.941196269992135,0.9226879427143421,0.9687879099228841,0.9831587396717529,0.971543703432862,0.9511049072113872,0.943559328089606,0.83952360114587,0.939593516291116,0.9493892966976379,0.609588068715771,0.9148408098095429,0.9199890135042399,0.968651571292633,0.9514206282828079,0.9458668225323158,0.9401418283105171,0.9406160780370301,0.9502979004800609,0.9386870727463359,0.9258999589189059,0.9517568061552919,0.957609942906986,0.9582602456912869,0.9814950610973071,0.9703634175712059,0.9325974113285959,0.9353900343423399,0.9318331285562299,0.904517320610463,0.928260537285498,0.9255799753971641,0.9303953492456221,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.5500400397126003e-09,0.0,0.0,2.2204460492503099e-16,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.8020255266910705e-12,0.0,0.0,0.0,0.0,0.0,0.0
+174,175,cg00004778,0.8326420618880709,0.849711673994717,0.775392622121615,0.843646160889636,0.829705653144187,0.831613681524001,0.7850291262638509,0.77740598149507,0.7862127916539721,0.825606378956881,0.831760205919611,0.8125907794612421,0.810612163460948,0.820119460306484,0.813467244161298,0.7834829722531429,0.8058053587524829,0.88340700570562,0.7994045523439028,0.847496837625714,0.7603988987045279,0.7893516293248671,0.653486398804364,0.6867836928961,0.686545342977546,0.7285105667743921,0.6934312370399129,0.6874195711290911,0.748382913047192,0.736394997198907,0.777384312682779,0.7613464633228231,0.679376916993386,0.7638929014252671,0.7769532682318929,0.696961988774218,0.7019695496950021,0.7157402830617979,0.7776999404723131,0.7142307070191469,0.719241490020284,0.7564828796111679,0.7814137556293109,0.8677658388615179,0.790649923848717,0.8321819909360271,0.8070988284761059,0.846832666969054,0.8542806287674459,0.782970134340229,0.433157243776633,0.5001326198268851,0.687447327176327,0.776730568419063,0.7201166697961651,0.819809140259515,0.885509896207512,0.747702041543047,0.753818492267712,0.5545526962964521,0.655637596065453,0.7330440053313739,0.66024348377439,0.66495544929214,0.6122198016369991,0.689440838001675,0.552982278018421,0.6531751996169279,0.742968160263896,0.633940937616045,0.5729631936257851,0.618552989556426,0.39347843327343607,0.654095333295971,0.7341920980301649,0.434814393173224,0.514532549874401,0.6400919994448051,0.836686486898912,0.5859929594704311,0.20168991984306897,0.46136194695031,0.43461379080220097,0.44136483845352203,0.40863889255732394,0.323398468705695,0.523012557957002,0.4094962312842129,0.46761890922456706,0.457500455446068,0.410658167426489,0.47420743509245594,0.2982311756295539,0.17991643322856896,0.4293490965193111,0.527738282672765,0.353958603585199,0.36595455118408204,0.4167084766423161,0.483262120849294,0.38104360470556,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+175,176,cg00004786,0.737989180651996,0.631501041955629,0.582341437687915,0.7418531296432769,0.6154744746016999,0.605561857562553,0.603523382276387,0.693992485745186,0.6667927438055861,0.606260623927605,0.591087462695103,0.562803191842599,0.739852327753973,0.591632900872078,0.594408506334751,0.593324670665398,0.584783742396508,0.588592441113131,0.558191123055516,0.7402381370300101,0.6819922771086179,0.656061325943631,0.5992354693724791,0.554865771396493,0.6396875639228841,0.5526665748769389,0.5317407714032271,0.560455045611731,0.6408177972559219,0.620256499411151,0.5439887255339521,0.560144098441287,0.503544574240173,0.6359233351810201,0.535801877541351,0.548559985698817,0.532879150368791,0.5479907996168211,0.559479584506996,0.528977991394239,0.6719955237516559,0.6636858010897471,0.763388695239722,0.827366949028488,0.5874022490935551,0.613768280347249,0.733847304566022,0.624826641770387,0.630239226248671,0.690425774202798,0.5798009355429871,0.610693258098036,0.611177614536345,0.6778685057108149,0.713150977309427,0.6135242895687679,0.68119939129155,0.7249518862062561,0.7276694199245921,0.7097242827014629,0.5691836628421469,0.555487627030645,0.701406455787359,0.597792153140228,0.564666724312109,0.600774424549092,0.717760925663097,0.670796910641335,0.581061122878959,0.606426695263646,0.5807422742473671,0.728692417937708,0.533791911134455,0.518802607764874,0.56090147733387,0.631159576771006,0.60287415280434,0.5540473896050571,0.7976561182021591,0.7925311942718491,0.7408512701700041,0.557813267609827,0.603431543034098,0.780636076687905,0.617232945810222,0.621099082520024,0.5920236240163671,0.749643487964333,0.68531795074815,0.621864102224022,0.608160441725123,0.5985449371047249,0.704878213878925,0.5904034075278181,0.5610262659394469,0.569535791256965,0.574527248295425,0.607345849510959,0.5672187213645029,0.675204470419718,0.729231467295603,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+176,177,cg00004806,0.887710801424894,0.931353583115961,0.915698045973069,0.880952593888365,0.890618579338568,0.8904857314539159,0.8717134126798309,0.8768282338721591,0.8541629266145891,0.8536369762620641,0.826123341801205,0.8700291629930981,0.875666760985708,0.9109847383852621,0.8957295081336701,0.874203671166998,0.8896206931341891,0.7895030690842791,0.9115558912841409,0.8216441777677309,0.791755284605735,0.9435937514418141,0.9297004510674259,0.924066809717205,0.8663114872544398,0.9031557916595501,0.8951162356033671,0.9055211228295559,0.9252468183456708,0.9065264351219681,0.884098636856527,0.9337937103378441,0.8622304227371271,0.9286376907078678,0.9198303716957601,0.915920311684075,0.925215764637179,0.9503680170789292,0.946311057533697,0.9552437725364609,0.9500781624164829,0.913886691316983,0.9500120552444891,0.9310911337547461,0.9012619341519749,0.9097525489916791,0.9336406122468279,0.904332280831843,0.862726543855798,0.923942764117015,0.8092191803404308,0.9640627098802379,0.973242201410831,0.758860639853856,0.8138166136643359,0.8885932096017621,0.895348718276158,0.906196149506845,0.863745760359894,0.8851279998157421,0.9638880104391899,0.9163175803306151,0.9118639726791958,0.9414835806662031,0.889192403282295,0.880551396246062,0.917809412483869,0.9581842761361641,0.911747931809191,0.9173561233385842,0.8668349636082959,0.907939811564506,0.948049016682582,0.9554815127019242,0.9318303351485309,0.971890509686587,0.88983466131053,0.9560576599899019,0.951037275495713,0.9174481969281049,0.9390171273122841,0.896386832459891,0.9334756650785359,0.862131312009595,0.95032866912276,0.855369171510796,0.952541737825064,0.892100608810057,0.954268131650772,0.9531854106774259,0.9412188940328879,0.9565693811091008,0.9159460430869341,0.9766564877890059,0.9506092406421991,0.918290995208169,0.929048789978708,0.8905788685515429,0.920398608227437,0.9527374828001278,0.8674074052169789,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+177,178,cg00004818,0.0187667526642971,0.018858379228797,0.0207165376182837,0.0135577940610358,0.0221236269015961,0.0215709111619391,0.0260170088364318,0.019071365452040002,0.0254278112398696,0.0249251980745097,0.0297939584542546,0.0277282298143324,0.0187040392200045,0.0276344000701924,0.0202574615446266,0.023678532762974,0.0249479395898094,0.0318548402844557,0.0239300823192374,0.0192062079174126,0.0289795745101463,0.0256734044268258,0.0191356054474624,0.0158976826748743,0.0217839713230699,0.0174108457558558,0.0204259617503126,0.0186770869835283,0.0139799799405117,0.0186519978572983,0.0240309678860617,0.0227187596512427,0.0152177134480301,0.0152514587282734,0.0237974264231177,0.0240155094261037,0.0205241275582533,0.0354662920758144,0.0233978292968558,0.0322981311697212,0.0228821341295178,0.0259026657013164,0.0259012389701561,0.0399640901518838,0.0191479177292098,0.0191070807319632,0.0613840434630905,0.0189220942603741,0.0233194703196351,0.024815849205421,0.026379970462681,0.0241100743704956,0.0342835114117329,0.0208236366785805,0.0390462373771686,0.0372597111806872,0.0321566865734397,0.0363574420533211,0.0261066149713004,0.0275752211306733,0.0250960205924564,0.0233109411609828,0.0239986320009222,0.0234843894242863,0.0206305440200131,0.0263115443901085,0.0323133361860193,0.0299807456970644,0.0257161632293659,0.0273263090117865,0.0230767254346414,0.0299519329957302,0.025120726139903,0.0271411313223936,0.0265713697680774,0.0557078841078329,0.0364095392714275,0.0229498222760156,0.0517850005677212,0.0745828447463698,0.0421510816285143,0.0279938057874294,0.0243096392225123,0.0729142886290337,0.0285281106677788,0.0288687421367572,0.0276606481394288,0.0348983222068734,0.0558363236707038,0.0335835323017128,0.0215131938303241,0.0224779363566927,0.0223568409071059,0.0313911833006955,0.0341367513346624,0.0444188933334649,0.0376191256403131,0.0379527754081443,0.0396580961742662,0.0291005578531618,0.0417976064813441,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+178,179,cg00004821,0.9878053078102471,0.9832796114242249,0.9880636329326451,0.9894574615197791,0.986251678267138,0.986650231778628,0.9834507132062601,0.9836691933280759,0.9870238402957429,0.985310160310895,0.9784495953057121,0.977163052454239,0.993127082820928,0.984715667463271,0.9842556514170341,0.989417946716633,0.9822307845262621,0.975890662607833,0.9825798998259699,0.987822038137687,0.980620086958168,0.988167168536667,0.971335064227068,0.965240533068766,0.9798737724942529,0.983111439110212,0.980479780182766,0.976769921316415,0.9761548659166229,0.978628804781058,0.9727765729307841,0.985914456798827,0.98306529672935,0.9709661339695691,0.977092623912233,0.974678231714292,0.976273939065875,0.9814264344864241,0.981235047788223,0.978508718892032,0.9834990060948778,0.98182951447357,0.98661021753963,0.990094648072657,0.984371536099042,0.9868079013643051,0.9832383828582579,0.9926955311846329,0.981497052592953,0.986249695125645,0.9742043920388871,0.9773388762741229,0.977195386450383,0.9879183513274961,0.976179171431153,0.977790748258842,0.9849866103881271,0.979151761221183,0.98179075782562,0.986846379711235,0.9892331097262171,0.9650501702724731,0.982917875311932,0.984623516100152,0.981980818264283,0.9805334986534059,0.9876478191682629,0.971887509973585,0.972677220503894,0.9864019257090699,0.9822590369556842,0.9835283000555259,0.982604711430207,0.9860347612742679,0.9895979347502759,0.996344115928068,0.9870043900694291,0.9939024604728,0.9875497976553249,0.9921441253954029,0.981822916234208,0.987800120570984,0.984781598761306,0.9809620250165029,0.983645395064396,0.9865563709865519,0.9810986014628571,0.9908655261452609,0.9838078403268191,0.9836056410659109,0.9813119348506399,0.987800036325042,0.9870382930350471,0.9848803323149731,0.975509605306688,0.9789782232703259,0.985194970697467,0.986487358923908,0.987226880326875,0.9847395136069609,0.9901554993849159,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+179,180,cg00004836,0.9810554762035559,0.989648238614031,0.982791803676479,0.987851091360822,0.9838595359582509,0.9807906019024871,0.9830855278739481,0.9811658881830742,0.981700566836718,0.979686688769294,0.978412608585013,0.9862052117600401,0.9867710320277,0.988802090676029,0.9836470795586899,0.9728785875104581,0.979708713528357,0.98813959885758,0.9732770344819699,0.9915168774059581,0.95632958673338,0.979519506800551,0.9641134508930279,0.9494289060793359,0.920716732059491,0.9061673739119029,0.9191103410033001,0.9247008579889742,0.949342951202737,0.941612929456886,0.9441170973825309,0.961494591913707,0.934596936910833,0.954663737324317,0.9386374974946079,0.918441359490652,0.92802146911503,0.9586385777061608,0.9629527558385059,0.945072787089239,0.958647338472953,0.94403007280985,0.966494354266302,0.9913014434023659,0.9801175531168149,0.9865636532321659,0.979418393353917,0.989836790215873,0.9803441568497621,0.9865840412992901,0.9802068445472221,0.9833930227614921,0.975742797457864,0.9821559889048409,0.813752970910306,0.9266409243231359,0.9731830090612741,0.909223550237035,0.9604547526493711,0.968843158321535,0.9776886685129359,0.941012676544856,0.975478806309777,0.951023854665366,0.9397421972312421,0.9418708478674541,0.9693356728701671,0.9488534977615709,0.9475657308218579,0.983399491970453,0.9599212972745921,0.970901967065892,0.969221278989586,0.946161934537244,0.966157722352081,0.9937361868009029,0.9886110594816759,0.988933611280205,0.9702746030979241,0.984132518885177,0.98184227483802,0.97665094986757,0.9733217687218728,0.9828173507280229,0.9768080995411541,0.9793150300580871,0.9774558505641779,0.9817679941011559,0.9752289806892259,0.9744095152477859,0.9729254027750859,0.9797869698102281,0.972846279930755,0.981069199292118,0.974985477594146,0.9581124392148249,0.981749745177209,0.9824836627233459,0.9812214282569341,0.9825245724486991,0.9904770785379631,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+180,181,cg00004859,0.9507352686871691,0.9801901293118241,0.9594631761815099,0.954956945024948,0.9304130995374359,0.9539710395039399,0.942217945099578,0.9448346414903979,0.950148895268797,0.9481446770179041,0.923818513810878,0.9540486480036451,0.9422990617973371,0.95502540837745,0.955663993545301,0.942225427086213,0.9432472514600121,0.914300308874899,0.9309916508875021,0.950071186106112,0.9516886898458241,0.957567471982084,0.9300391073960022,0.8865125483616129,0.945922637426555,0.9400367165017159,0.9459887558902609,0.93165021743487,0.9408114721190841,0.943984318030221,0.937600959800466,0.921760033797394,0.914431373285226,0.9258903443126429,0.9297902337807299,0.933975911383221,0.9287743197030601,0.8317477126761851,0.909912769106875,0.9139394573617159,0.9278005461471109,0.9251839202361841,0.9033161108473959,0.9040944146893699,0.957267699705,0.955205385454927,0.9369854841813441,0.936284399123895,0.9448201395779521,0.940062864697068,0.9403952372587601,0.859014951771187,0.7595742443533281,0.9392272953729079,0.92890191115677,0.942514867886726,0.9291899071976851,0.936006251575011,0.931248844214861,0.8753411298014151,0.949731990259953,0.9525503656326741,0.964856028390927,0.942197790268575,0.943407271829606,0.9441682254772951,0.9053390732865909,0.9372088202010409,0.921599113864521,0.897904373612057,0.942568658209282,0.9260505209993469,0.9533338865980708,0.927672950619256,0.9204911724395691,0.881087647210837,0.9063266451560409,0.9620018302699159,0.748648534411883,0.920720188664105,0.8931824870986609,0.9329947521718729,0.9360734768934721,0.933888455953889,0.933703170153285,0.942518369088954,0.9286709983887221,0.915139504539617,0.8890165592510191,0.9379582965511429,0.9398022209888829,0.931605209853572,0.959958915865108,0.9609270073762791,0.9158685976890351,0.9181720013984,0.922989686098529,0.907436180935093,0.9288586177779999,0.908692648063657,0.9046450907158421,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+181,182,cg00004883,0.831208988581514,0.8042285023048991,0.877917915586092,0.8304884315181701,0.8327909639150051,0.810087544680514,0.867591152973016,0.818955371892737,0.8724946050358249,0.838303743132857,0.8631928375610699,0.7463371166049371,0.8677093115556941,0.8033149058808291,0.818473401759889,0.765413593264258,0.845639528818634,0.7566485298709859,0.8190595530045941,0.8092835297906559,0.8851137934747809,0.987824750928419,0.9841003631006829,0.9860268202297742,0.985744484873905,0.984839000720145,0.9846998173383291,0.9876988618932631,0.988498682522688,0.986138576513782,0.986004125108093,0.983408571274577,0.984614669776733,0.9859519002111171,0.9832119769711449,0.98180312363076,0.986205373299101,0.984868936555864,0.9831942482064742,0.9828056743729492,0.9844017514045541,0.985187034915116,0.8739134736143019,0.8261917745173009,0.788737820432522,0.792585165528714,0.983628018837447,0.85242017176748,0.916466661480646,0.8504128665442571,0.8743451135404209,0.649742581292422,0.838697414377553,0.7870762911482321,0.983091862651255,0.9796101570347281,0.98455850985679,0.9836108231353359,0.98157585314517,0.982691122203874,0.9903819216808208,0.985564662252018,0.9882404468639492,0.9808629988778481,0.9855608569438091,0.983416333497611,0.9796431332735379,0.9811231512412371,0.981857308813007,0.981270386732667,0.9813396874358091,0.9843478687035858,0.982717688795287,0.981562361077867,0.990745336600594,0.9911914237062779,0.984552973834081,0.9896602473954141,0.9854910579090419,0.9884385314893371,0.98279664281035,0.985004595692015,0.9861622338144269,0.9843455008216592,0.986063092806208,0.984174076700799,0.9841908657534191,0.980360739134154,0.975526107964188,0.983030176706282,0.9836030326743891,0.981263576194691,0.988635786164455,0.9862952884216339,0.9784399617952271,0.983541722285154,0.983346306285477,0.984625234373455,0.9818711902023379,0.9844387983435491,0.9876017123908051,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+182,183,cg00004905,0.9192953151490221,0.932101677775049,0.8887993298713991,0.9581200873902859,0.940405563358277,0.9329972030791959,0.9137098480061321,0.9057846321122329,0.9093353206128622,0.9277151754037191,0.919351026960938,0.944600955920294,0.971793748928953,0.9551419883171199,0.954898608526314,0.9263886335054059,0.916379214465595,0.9674453855632159,0.958614690169352,0.9352119730227341,0.952185398797528,0.9225848670816691,0.931829916896658,0.9403208417838359,0.941362598637303,0.926106239608278,0.9173426497287559,0.9279195555414441,0.9368105524589069,0.946952228103063,0.9278654209934549,0.9482086453876271,0.9142920631688991,0.9350134711821569,0.9519234681939341,0.94705265056768,0.952173034826045,0.953979213110861,0.9627472811752579,0.9476612131071421,0.957114550954428,0.9569677044225191,0.9459255440237578,0.961578311812506,0.923382385300095,0.912687235778604,0.9865538852706159,0.919874747378082,0.943837560686879,0.945295008581149,0.96367981761053,0.9674853098014801,0.9575203510003469,0.9351685649514301,0.9860374116404991,0.9692335371759491,0.985873959205174,0.9839303582788579,0.964910021522456,0.6781632211099079,0.8224505844853399,0.8350910374516891,0.798030881984278,0.7688988502270659,0.742011621123883,0.849714656032604,0.544970456909351,0.785944032707869,0.869942962433048,0.6506249477953381,0.540547793692542,0.750544756020782,0.5365167605774029,0.757888830293327,0.9162227410309829,0.370763894847022,0.549184181853381,0.730348038395175,0.8265836364341032,0.405917311779413,0.191932792425922,0.49707366515327706,0.422665404899572,0.394516124334295,0.39816933937386295,0.40998040961729704,0.47058959587501104,0.41607189392327504,0.48673669787690105,0.44662977717709007,0.366222484558848,0.376943065214746,0.29135014556092304,0.4271420017144821,0.45834788797501297,0.624168581555271,0.21903901101488799,0.39683142264631205,0.3460859893974289,0.481360734744828,0.204757752554989,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+183,184,cg00004915,0.826976193356144,0.8276979541680379,0.7828063201411379,0.817285377421285,0.7788016671535909,0.757209658910629,0.7795730592071239,0.807175355957382,0.810130629656494,0.8080119939393051,0.785456690591052,0.8096132829872851,0.876827645472417,0.7542742439309399,0.8110257017317439,0.804768283760531,0.7944656854256609,0.839168219697745,0.791801176374273,0.8079568940004019,0.803284989271873,0.850283854280888,0.8741881979304741,0.8762900589778221,0.83338334992147,0.8180372957211941,0.8394020216943521,0.848405833472017,0.86019248409228,0.882220427232433,0.858234999586246,0.791038592432213,0.837262504727358,0.829785222340557,0.8363289038107571,0.845439388903358,0.825098602165779,0.8620943302627729,0.8358834941830291,0.836102010838625,0.8271392527167879,0.8094970683142629,0.786771868457423,0.785621315910497,0.753176250484208,0.796237638165449,0.821185490172202,0.7990888170718159,0.8144692062168921,0.8018269438864059,0.85684174227635,0.8426572314442091,0.816968391481483,0.7966996471791971,0.8665277135086129,0.854676284725855,0.908669511257912,0.893168054011178,0.830033233589931,0.8355085160361808,0.8338372496206841,0.8565659208481121,0.847848005420336,0.7369879572601139,0.8214207607156341,0.8362665156507642,0.7765782156112759,0.8484057174517521,0.801907782317255,0.798969208570581,0.800226658535504,0.8229922714387029,0.8115037335299459,0.8427487744959671,0.832014067070942,0.85939380238289,0.8655188653404631,0.8493892777581941,0.8116685971316641,0.8691064116339978,0.7782063303825479,0.7881430880553258,0.7887112968107979,0.808636822602635,0.8070882732484549,0.7747377721593269,0.793007249415929,0.7154279706649008,0.7772023361148891,0.80546679345551,0.7747708716839949,0.7952136221285759,0.8196901980984379,0.742689139390926,0.8549921224819821,0.791710480588357,0.767280479246407,0.798823612770009,0.7981174468772709,0.820916295045556,0.8098533221253721,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+184,185,cg00004939,0.0229980138977513,0.0254910228529295,0.0389810139995818,0.0218318332992814,0.0188055190356401,0.0273319172655696,0.0248717161675792,0.0233335084284902,0.0270320944780379,0.0161602299665726,0.0228570158014171,0.0369795250732087,0.0202000370775817,0.0358709632474347,0.0436325223035804,0.0289140643326559,0.0242125769041529,0.0215786866068691,0.0293350131737778,0.0292883171377862,0.0369013010319929,0.0251717020409484,0.0310054655948914,0.0482859342390605,0.0310676740893852,0.0439046395516108,0.0519880604842928,0.0420144993549473,0.0234591245850727,0.0492733335221286,0.0414853268842884,0.0506520323364267,0.0488907679544793,0.0370164206112124,0.0303677697061864,0.0359679218123281,0.0203038401478828,0.0261343157041932,0.0368002944845882,0.0387159331016306,0.0304035349983351,0.0479161847143029,0.025642181272028,0.0188768304724543,0.0248384064528901,0.0219710018564939,0.0286264173985926,0.0326730635914826,0.0265868536778011,0.0275397899479742,0.0286614717673125,0.0313977948873729,0.0291517186208531,0.023887588965041,0.0266885183898636,0.025520715523558,0.0204096254881103,0.0369468453925764,0.0384286429634221,0.0199649061903092,0.0176592363274185,0.0418189330011524,0.0212551920239474,0.0296386741034732,0.0235146121381696,0.0350066209163217,0.0329979978483302,0.0194328805134068,0.0277731110485602,0.0257656371714664,0.0410443120185493,0.0638848089185353,0.0561692432323525,0.0453413716597237,0.0272103077174859,0.0247044941584503,0.0360379702623455,0.0180875865795015,0.0229980993679236,0.0180534279123335,0.020125741699104,0.03837484799346,0.0530022285480409,0.0222124053979386,0.0323715779643128,0.0233537746016319,0.0413969906094531,0.0348300691897988,0.0304685323957814,0.0268163037306977,0.0432971924400121,0.0515943363183179,0.0503040795364108,0.0311480898647667,0.0405200342549127,0.0380216681127472,0.0288024596862427,0.0310818026467231,0.026536510531278,0.0286524319085733,0.0221386244550254,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+185,186,cg00004963,0.675307014031444,0.859682789767055,0.8703771205332521,0.722621768446953,0.754171987412802,0.8299093990917109,0.8516918201750501,0.861287834393062,0.716071574494345,0.8228359991356992,0.8660072569406909,0.8434745122362909,0.7372911786166491,0.8211610748383449,0.648841497383971,0.6065238420319979,0.6922911803506749,0.864760686526653,0.8955076343031031,0.82913475406785,0.8206942347949971,0.9726699046299749,0.819954715249315,0.9584474259054029,0.9156919399413629,0.8854732419982659,0.9220650403985029,0.8615087395583141,0.9233943046700358,0.8474058677892329,0.912619733265157,0.900666892401115,0.883825673958523,0.9017284564491691,0.900501987709805,0.8556013420066129,0.8343638330370259,0.680866528285406,0.9373682659158051,0.8994680705976079,0.912774040823621,0.925373769452109,0.723572815813941,0.7922580816446251,0.8345207607384971,0.914795110095355,0.767840180926726,0.837306197687113,0.868112275232183,0.814423911532229,0.795891116397565,0.533480185442065,0.8012552674516009,0.868787893086066,0.5642653223579029,0.550273521806536,0.6339971232321079,0.666497944538806,0.679005683414772,0.939258689828395,0.867725944055077,0.9457546083543481,0.9064837743377591,0.8544449976086078,0.922668256887648,0.90117613851692,0.893393997279964,0.8730484651290479,0.91965051819499,0.853765933266086,0.832152380360755,0.877039205889283,0.8073173247517759,0.800093535538854,0.880446181271256,0.85802426997813,0.89109313038256,0.9480827383117808,0.8424674388395781,0.813835278478754,0.7814153305138279,0.850095443745117,0.8538538653883001,0.819500111249848,0.8706651041711271,0.811449702015308,0.883642844828127,0.8713043260151451,0.847020391537169,0.8490410530548871,0.8765421227871429,0.8441612048267829,0.8590246691504949,0.753403138495062,0.693879089121582,0.8542932647290798,0.73565887106803,0.87558544160146,0.762668359082182,0.908081453651253,0.839859574801368,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+186,187,cg00004979,0.9737398028585391,0.983659009791216,0.956893667852773,0.969345752878111,0.9097076936262521,0.973716417113082,0.8892695735910121,0.9368837390066519,0.929132665816333,0.9355018175814749,0.9418245357403371,0.9231353778014291,0.9741491075376059,0.978934398123657,0.9833483876972591,0.9407439779215041,0.964579829599289,0.936027860846685,0.968225512665628,0.940168775219148,0.9608173410381071,0.9868778988660508,0.981548592048378,0.9779075449689649,0.9791449021332641,0.97892595401924,0.9753067545154179,0.977629236028706,0.9825732011924391,0.983714038817665,0.9809665963251141,0.9762799520160559,0.9733278406783891,0.9864242452373371,0.972997478908437,0.9741462416893929,0.985240802296972,0.9763074571615631,0.972966360361128,0.9763581151010791,0.9837132000920479,0.9825399952224201,0.919398952707859,0.9731005909937759,0.9718951728550559,0.9855926584859671,0.91649911959865,0.9843642008295609,0.974254941756428,0.972507861974228,0.9742584581496949,0.979585899057227,0.9524600084414169,0.9398969696726871,0.893252856870143,0.864168632072989,0.8788248328092391,0.922493206444394,0.938894159893994,0.986739822226136,0.985924308003141,0.9759758990670792,0.9859396858987808,0.9821988604048,0.9671277185245479,0.977196797051207,0.972065375479227,0.968266201338628,0.974743218892359,0.982742903482008,0.971815065326828,0.9793628999819,0.9718550489089179,0.98217730436416,0.990920694804035,0.9945852941593841,0.977331702650264,0.989331796235514,0.9850708732308249,0.984821167661583,0.985008433717348,0.977538010581346,0.97798336068032,0.9861832752461441,0.973924564388845,0.973996775496261,0.9774317628351659,0.978050026475981,0.97231131440621,0.9602415242595419,0.977649022563075,0.981583247046008,0.980540130021034,0.990089914446005,0.9756376954657641,0.9806812258892029,0.960214084165509,0.9863087147291991,0.9763839216764291,0.9797530409212659,0.98289751202336,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+187,188,cg00004996,0.329870753896133,0.244172780358796,0.206373535744511,0.27156418419354,0.22742777704333397,0.14217107928424697,0.22744385279899398,0.35502421627155795,0.317612548142057,0.35823869797598296,0.15730040313663798,0.48372333732042,0.282043094945352,0.281399273018008,0.185584017900598,0.34995095023422396,0.171318014769794,0.26667775564967,0.244930171149779,0.345804071505266,0.279329239925472,0.67941627355849,0.580993538157764,0.7368926385106891,0.6861521508309301,0.6486166602474089,0.722520623016847,0.574413773219131,0.65762723269279,0.682137956545707,0.717952278503045,0.5832429118256801,0.6382021274556801,0.557009003284831,0.535962778377924,0.5845496728865931,0.634152608195463,0.6423657720617061,0.6989323789829871,0.595836606137597,0.6067917594207299,0.565295257948729,0.309091972403987,0.340350010648024,0.330075890724395,0.22416120625455202,0.229353976633842,0.157259828436125,0.166104548306824,0.260764867600944,0.13021508841412,0.14403695063909602,0.20926123448943998,0.33961174566375607,0.21927426164867497,0.21980322240162398,0.0908630674445149,0.189626056582627,0.162352864939252,0.6994059108030151,0.551009349169675,0.613450102250461,0.7051637514893709,0.5717801031937321,0.679706072552163,0.633773901500948,0.7174152444341322,0.633638461061052,0.674613575352791,0.592938740931874,0.711619891205437,0.635923741257456,0.6798554282499569,0.565308438173876,0.631953061851575,0.8605790152814509,0.683045324280242,0.6785788228848251,0.477330502718716,0.6251542016047571,0.9172027779283101,0.7293448453224171,0.685994024376854,0.928221105929378,0.809876343170708,0.83155691263481,0.768718491502808,0.8079162399061359,0.691689482343172,0.7653241029323141,0.743424501331628,0.782070042049854,0.8128921151870109,0.795489062106134,0.7428313542110129,0.728709704353264,0.896275930601832,0.7220745158838721,0.753778932222703,0.639894854556071,0.795768103913934,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+188,189,cg00005010,0.0184162227086144,0.0152924285774635,0.0177380455264506,0.0175341387375797,0.0186660240729484,0.0184874057201986,0.0215582497724638,0.0173807726709613,0.017085136032551,0.0173769925688391,0.0166245905095006,0.019417277799766004,0.0142631905695193,0.0181392240000911,0.016488348998831,0.0162398501446926,0.0164323791845076,0.0184585761476824,0.0178806217601867,0.0151643722916182,0.0205421221951002,0.0152615712457351,0.0186599818752749,0.0171179827129001,0.0189484472166673,0.0186746532283445,0.0174850237664013,0.0181595940813691,0.0147064435530931,0.0156175108943687,0.0190639316350042,0.0153966807129387,0.0146919249303167,0.0157468187982425,0.0195904427795127,0.0235111124950245,0.0221931254464477,0.0187038903452342,0.0180965846945445,0.0187315981427926,0.0163738140792653,0.0177870603043853,0.0165881130917243,0.0140505116843296,0.0167515751473403,0.0190988445401875,0.017795656595191,0.0149003458594728,0.0182233667070926,0.0153884705559511,0.0189607127469243,0.0168223891046003,0.0183022192774538,0.0165272773781542,0.0167970350684407,0.0217279904685838,0.0144860198420072,0.0187541006190454,0.0182887136300644,0.0180088664904326,0.0102858755439634,0.0174752828195686,0.0155677996929558,0.0179256039022304,0.0166693072106209,0.0186154125681547,0.0205993413724908,0.0194007473629807,0.0173954539617294,0.0206111173764075,0.0196173826753381,0.0202882254909532,0.0212406335814091,0.0183227032842992,0.0145721886479529,0.0139877985382096,0.0177874194736423,0.0117417303346108,0.015950359602488,0.013223292880023,0.0167855041223972,0.0170050817254363,0.0175458296417877,0.019070764429215,0.016836844948613,0.016973708264411,0.018138080808651,0.0131052152755697,0.0199144529581273,0.0243727824357492,0.0198663163837722,0.0176422894965486,0.014972557927182,0.0187746460178112,0.0192266050992861,0.0212581853353607,0.0176070684584577,0.0194993736889773,0.015230631439396,0.0168883580944732,0.0171509083504662,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+189,190,cg00005040,0.0588927912772035,0.0275668803554806,0.0325694861006203,0.10023585772120598,0.0409116165850743,0.0365404679284522,0.0395299642955871,0.033161684823297004,0.04763516022750401,0.0536150494918535,0.0370591377578005,0.0653498540319528,0.0392200133412036,0.0224635414323278,0.0442925314132246,0.05399657908174099,0.0410492399142021,0.0383933991467984,0.0342608887136797,0.0394798687198932,0.034924249445126,0.0245166102275296,0.0312376084712754,0.0341395925991507,0.0340176413952745,0.0383185355022196,0.0306503620988977,0.0193308059474456,0.0451365689583973,0.026481054604632,0.0163590661682803,0.0369761288154328,0.0324196732630514,0.0367123821530055,0.0350681655147511,0.0348821293358692,0.0305784586884928,0.0316337090696763,0.0326002233698647,0.0400166103641069,0.0254233813988121,0.0340178615427118,0.192583642023912,0.131655121339786,0.0584061256265338,0.0478707191874839,0.101688243754297,0.0284099264749136,0.0636052308751168,0.0594920320749585,0.11109254656654598,0.0474038122516278,0.048950517748668,0.0365992229264421,0.0493412306870228,0.22999566925021697,0.128424391245743,0.24558190698338003,0.15035568350553602,0.0445742422283214,0.0205551817653948,0.0179229782666379,0.0530559255759603,0.0342634069440003,0.0299276458010853,0.0285722632496146,0.0518307456224906,0.0248958004980814,0.0400272081438182,0.0395350391377246,0.0326015690459798,0.0322899664641582,0.0316267831363569,0.0341058124949896,0.0288902789838151,0.0536556111777234,0.0396843644227722,0.0297030044885936,0.0876715926608534,0.0375044613919466,0.0417540521304285,0.0403421018180173,0.037892551718132994,0.0844180654619437,0.0714606326705585,0.0380338457357156,0.0538958792915391,0.05628766209953,0.040657288107002,0.0423843718579929,0.0301894694068016,0.0343006895882434,0.0252341773304812,0.0276479462586421,0.0463881175145328,0.0452806823877064,0.0805122401750915,0.0477867619750034,0.0341158025975118,0.0381545003471949,0.0403390031199805,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+190,191,cg00005072,0.8578558019260301,0.878997747442006,0.892691846196447,0.866548682682634,0.8766485149419859,0.9006618886415401,0.8096693100877359,0.8806689584789049,0.730126992080241,0.788530913920545,0.86209488845226,0.797808669357221,0.7183704845830781,0.86393202367979,0.8912670702525319,0.702765901691222,0.8000097248487958,0.725544829961596,0.8100347730858649,0.796112525215068,0.841648166523975,0.8837289237991222,0.854444220224772,0.864604158108433,0.863193976047107,0.8697985539473979,0.860114701009188,0.8606651972483359,0.8466826498263441,0.8328614629382199,0.845295242176345,0.8615269521281309,0.8444586956426949,0.8569762408480831,0.839115906076394,0.8410148293356179,0.8428096381335601,0.790518175992538,0.7964003803411449,0.792678439709485,0.850764945131627,0.810412533721401,0.708592071784055,0.8501887663939759,0.8603612314724379,0.892634687119853,0.544670335538318,0.9171797316921899,0.884613060904298,0.792856924794382,0.60067007447287,0.653805836957577,0.8236827753333041,0.882766771816861,0.3832452449729,0.42841465436175896,0.432728478412697,0.414004413334182,0.48852799990995505,0.9127182251496209,0.832385197002783,0.846071797393698,0.89658602331109,0.8648134246433531,0.849221206227584,0.8758389852197769,0.9049941989221941,0.8436006123015459,0.822426099655761,0.8977529443952109,0.8969353092824809,0.902558490806538,0.8793610633327759,0.8206408563258091,0.8596980381615809,0.9331339523702891,0.8861030693955221,0.791800656913504,0.826397697678423,0.957355816785215,0.8884664244252959,0.86294220332692,0.904724987902379,0.9344350513581992,0.910650484735755,0.898984755957655,0.874445025500028,0.904309234200761,0.869450439671745,0.8834801821994351,0.903134279661944,0.9301182427002809,0.89686790012272,0.8625334476064229,0.8544163119069491,0.854030279009783,0.914632780146842,0.885818708203105,0.84158596535688,0.8732285477205992,0.9132883295890899,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+191,192,cg00005077,0.018426050388249002,0.0167764957357511,0.0178089317178076,0.0238564636702052,0.0190776223001556,0.0216885332417365,0.0269647170717793,0.0242334270677131,0.0506714436440872,0.0183080856857973,0.0243101509586481,0.0242319077752606,0.0111532520136354,0.0380001688401342,0.0257663715412388,0.0245890053961421,0.0364034282025568,0.0348000633178251,0.0342182833195619,0.0342611342793892,0.0352523827932145,0.0229011445424326,0.0241703988067873,0.0174895806985674,0.0225327212919713,0.0209972048612692,0.0223115961106713,0.0274809450364028,0.0273044303112454,0.0343811721399995,0.026042919814028,0.0290251245700656,0.0286488894928825,0.0223546607075542,0.0226141820548627,0.0222933838540156,0.0289188949351202,0.0250731454940603,0.0228770690878527,0.0306547689188987,0.0469523366824027,0.041954268728350994,0.0202867287244604,0.0132172430866517,0.0170199016599054,0.013773652369144001,0.0373951179714833,0.0174333133433509,0.0200351455339085,0.0254749881016781,0.0422738672250275,0.028367370266502996,0.0265202809500689,0.0316015813726926,0.0431459513091352,0.0242645437125695,0.0183800852453327,0.0296674869160797,0.0227232567947674,0.025608809087832002,0.0153410398053277,0.0433523938297132,0.0185117572026513,0.0211069881293873,0.0172790730690557,0.0268832279143172,0.034173770663518996,0.0197156667817354,0.0200487194638834,0.0251321788333212,0.0238986656708583,0.0289857440270342,0.0250546581497913,0.0346005405666354,0.0261693627470626,0.0240919861948927,0.0265294271182226,0.0185082752288912,0.0532145702817336,0.0293894032540814,0.0225002451065824,0.033151058520262,0.0230587805533475,0.0196300135553686,0.0192626520505315,0.0174236897918021,0.0318817524347327,0.0234910531706429,0.0319622317091915,0.0315883174279958,0.0193249167879084,0.0284643366885671,0.0353397158340244,0.0279867275109934,0.0229650598963606,0.0355689350322455,0.0333093464371205,0.0330604739384012,0.046103831547278,0.0365158847134359,0.0446175184853977,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+192,193,cg00005083,0.9828428734079051,0.9515710955976701,0.957319059458576,0.9739914560209559,0.977087462291055,0.9714965949565859,0.983473728572331,0.9806640833481299,0.923460290573142,0.9670875690686229,0.977489478895846,0.9756237881878531,0.976778197471976,0.9711414034563209,0.9413948085969691,0.9865777018439008,0.9860515985651371,0.9405810216979459,0.9662073338895891,0.947241650365763,0.9365880012845121,0.975847147924643,0.947200501669448,0.9732198510372808,0.9698449269261159,0.9724825040763759,0.9663803772571701,0.981603613362544,0.985900717838897,0.9716218467955879,0.9630582972387091,0.969509999965702,0.982473056355443,0.965739210891552,0.9587316908977209,0.875810314750022,0.9779861439424521,0.941500921944859,0.9587759454971391,0.968051016332379,0.95310318670324,0.9638999370650371,0.985501923199343,0.980697136966971,0.979029454710875,0.9779453094750551,0.971018984237085,0.976468190664709,0.978780639994649,0.962874685078705,0.983381403973114,0.9771548536537091,0.9843816963769741,0.9479491514012851,0.979783581232021,0.982241320540355,0.9870373832897129,0.983443043828634,0.984764654811147,0.9755131109858429,0.975850329991167,0.977191478149477,0.9804469735246679,0.9630543522035071,0.964459551854488,0.983000040159207,0.9809992061825691,0.966906036273378,0.9605340725345831,0.9549376126987429,0.979179002194628,0.967259543988641,0.971922835148153,0.9010342062664549,0.988346120031957,0.987890556482157,0.939488649541367,0.990229359748629,0.9598989537558101,0.965058906504115,0.979163313440607,0.970176750411145,0.9469544535788609,0.984106196294484,0.969047713616831,0.9737575589833171,0.9828068591356229,0.981085142645259,0.9663075789535349,0.972916316312601,0.966362897535913,0.9767231281139341,0.9871838463901239,0.9792127518467858,0.940819527029524,0.9847878886419879,0.947003112230485,0.923877838807157,0.9701980889359609,0.9768424088770621,0.9674198702901559,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+193,194,cg00005112,0.892559777876018,0.9294883837521751,0.9110614264965899,0.8555157122423659,0.8723926105718539,0.8927753405615559,0.8723492244849491,0.882252327756394,0.759364128873498,0.7565046950173799,0.906006022695445,0.7971322690963208,0.7481796773882091,0.9055487708806971,0.941952824655517,0.717864911089807,0.8607010846985629,0.7575856769135321,0.889270894941835,0.7221617811385579,0.7834519032289341,0.971410424933702,0.954710707848742,0.959252391917174,0.940122727857188,0.956320791999134,0.929309047187071,0.960864785689689,0.977893238966755,0.9568762129175991,0.9316815128627841,0.957759795493256,0.927113270490337,0.9629136318774371,0.9308840493439772,0.933298028343598,0.9623376911204209,0.9351869287902741,0.937088132494422,0.8812285895423859,0.9555975560446741,0.9218799889274879,0.773259575488162,0.8043724536398891,0.903223406400371,0.896191893312327,0.6849022215102499,0.724047209773724,0.881939202188015,0.7026786853408571,0.39179448533764705,0.5206463143808979,0.687430522719479,0.8190982964482578,0.49122536006650297,0.522824337912252,0.5174036295633511,0.511133819414211,0.561647487592975,0.94698793050919,0.9539607923625021,0.9433687648953479,0.9590889785028921,0.9541039755633621,0.8884683821015601,0.9572315335943911,0.9263974174065059,0.934615587536899,0.924798578666268,0.9388247840669429,0.9398733041160509,0.968797648076264,0.936516845888087,0.9333187109709421,0.959418364018433,0.9620495086480141,0.90893511472811,0.942355154608634,0.962887727046033,0.907025375843501,0.9522061295959671,0.92948636988444,0.91908087660934,0.947069398746917,0.862974181908136,0.874967755667997,0.9106348503930659,0.9478866455134879,0.9050877503467829,0.914446116866364,0.8384805076595471,0.950038308223433,0.92774174057374,0.9128539028105649,0.9169871892179291,0.9093131637080359,0.9389199763589899,0.8435054477688649,0.8696310631124591,0.9376766465375981,0.743355008524759,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+194,195,cg00005164,0.898969476105254,0.9257671281606141,0.9425451041115258,0.9159530987575559,0.8885236459079909,0.872304131172789,0.8893672592426249,0.9105801371019459,0.905398626988052,0.8796970287343259,0.823963037702542,0.9215504768275391,0.901960555973853,0.8926075586746809,0.865220616516567,0.898192281386919,0.88128770902896,0.848387826696285,0.872411208457621,0.87089820362806,0.881562421108027,0.9539474865983572,0.9192953164697879,0.8744126204564209,0.8824782921801371,0.934520794241271,0.9383063380177371,0.913304948519173,0.951328235927707,0.911493127892479,0.918869565616063,0.9421676580768891,0.8957808014125909,0.9227152611539151,0.882918019532028,0.8758088740850779,0.8553751522028159,0.9031849087829541,0.88903204462878,0.8766816943822471,0.888134987515385,0.8774358470034441,0.920992263507709,0.922372793477255,0.882402789696212,0.9139668475998021,0.910459253507663,0.8609638446005901,0.82670725901646,0.922107998892766,0.8128345475371891,0.928092913791088,0.9241412056516128,0.8916439170501441,0.90613383949453,0.8310629671163628,0.886424350237842,0.91385859820225,0.9012164209083801,0.828160581352152,0.961103255620368,0.8937381805850669,0.921434687770538,0.877490314731175,0.9072815729091379,0.90584064473931,0.8305789531037121,0.830042301725643,0.870997335649104,0.8360965680650079,0.90624848327565,0.872969692464554,0.8107174992891378,0.860680135363804,0.944808352140226,0.9455471974869409,0.8765858090090799,0.9511001464899391,0.9174794790799041,0.898118718346948,0.8664159134934392,0.913755283366124,0.915715298050925,0.9144104664043741,0.885032332931443,0.8553262510652009,0.888448139883478,0.89720219429103,0.8335244499584329,0.8533216232856491,0.9399896786794759,0.9078158518977049,0.9193360773930341,0.900509217262325,0.8540382294626999,0.8554324645255551,0.880635175833196,0.899222158053057,0.8919825061787521,0.863053582523343,0.8617682497579721,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+195,196,cg00005166,0.7902645401910059,0.757340790916876,0.700183412495323,0.6862689801009899,0.6612727670929389,0.6807584588570981,0.7124090478212971,0.7029308556844711,0.659232309420868,0.645723340042911,0.6871690574962119,0.789134636948996,0.6852618990111551,0.656815458701062,0.6883183506851321,0.7276644422745601,0.6838220852132221,0.751284997472346,0.698979040568586,0.7446174203113911,0.70739274568791,0.446938714409195,0.5021633220333429,0.5666094648881651,0.43642085469416,0.584935842174614,0.595654609541599,0.333126860286293,0.568273194229748,0.46140005923119204,0.426366724649621,0.379053629648133,0.434041620245694,0.31278429768838,0.456696278274273,0.386682648472656,0.34953211138812496,0.500349980025264,0.475274286909395,0.39252807372990206,0.581653338956156,0.32358880073762203,0.822043312811342,0.665683221216216,0.715615654316844,0.69343021956997,0.734642716730442,0.642521243505548,0.724041915931828,0.595682339709221,0.7296356485163341,0.8101977071963491,0.7351024229265821,0.6363488085845379,0.903916400835087,0.8379957901971079,0.8885976051348909,0.824455778722121,0.8348516007724509,0.538056110419586,0.376727315967014,0.36868533786958896,0.43108320268757894,0.5381319097106321,0.5031101510147221,0.389734749867976,0.752524962184864,0.5048065490742021,0.45178485349128605,0.648733083034723,0.707245796808881,0.520126232789878,0.644882303451456,0.49734408528008506,0.264655464051593,0.811002060705467,0.7671437115730458,0.580757012613067,0.27974655939792,0.860394357508692,0.8552038906595258,0.716948463935998,0.760627907867053,0.8192684182585749,0.832141849725173,0.8339259341908241,0.686286615048078,0.845414132375584,0.628981230490121,0.6835079942637738,0.9061443634113009,0.9200996182526329,0.7237559012219159,0.702521015837164,0.711777102187426,0.6061413765369731,0.861646350727307,0.7758336156010841,0.8386231563750021,0.641700081036658,0.8264750471209921,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+196,197,cg00005215,0.977171032108333,0.978756896537942,0.9577232647836909,0.976963549196513,0.9554677361356441,0.9634600810473961,0.959084171017037,0.969936608466143,0.9731081409215949,0.9545695827417908,0.957197912722169,0.9793286712170219,0.9701758237771179,0.9613577472999809,0.963299082299678,0.958806261544977,0.947723179682396,0.96138109905784,0.9505169456317372,0.967057244534948,0.9658755285293691,0.978852146271898,0.9844667407742651,0.9807815306944871,0.971108003807427,0.9760393690046121,0.9710585720182,0.987416663084558,0.984992037897522,0.981932317878533,0.972015647877687,0.980482070796019,0.97934136479376,0.982723354149362,0.9733951305454409,0.968437397633712,0.9825334676111999,0.9485031904697959,0.959597995542349,0.961047902499122,0.9656483978534519,0.974122687433333,0.961354865369838,0.934454056445629,0.972507679585865,0.973920619105016,0.958872899833871,0.9584558153579879,0.950070281359355,0.953498733959008,0.949048291697229,0.9336936557913691,0.850149869107103,0.969188990714404,0.958556353643913,0.9602811757640201,0.9515618651811499,0.963401259668109,0.9486913475066321,0.970326734868038,0.983865289583465,0.9898398039119649,0.9814115256533441,0.971616115930027,0.9762480322800071,0.98279791050373,0.9592239295212559,0.965966726699026,0.961161956325198,0.9527759873488499,0.975325932809105,0.983199405698968,0.975947382909035,0.97127948437037,0.9771012447513739,0.929222833202769,0.95252577424943,0.967070701853165,0.850166452075413,0.93782857585763,0.9706801266856,0.9772909332166779,0.9730675999880269,0.9669885342175061,0.9650415669051,0.9664687807198741,0.970068002515527,0.9587480708520171,0.955856492386399,0.965700776049761,0.975148176112698,0.972578686317478,0.9791448247135199,0.9741356314106929,0.9676650525860541,0.961747907149889,0.9492531067231941,0.9467570351322059,0.96550820703988,0.9667774410498509,0.9541523537539559,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+197,198,cg00005249,0.656362879737187,0.613291834994709,0.575838221332275,0.680531188045395,0.607797519764989,0.510240671973387,0.7293978335156909,0.739298697273989,0.7728947845078109,0.810301793687174,0.542951473492841,0.9059355937013299,0.8231756873792021,0.684943734499446,0.6279885277596721,0.708804945444559,0.6341470316907221,0.922091214260222,0.555768214435561,0.956031858181213,0.7863376676305609,0.9821756401063121,0.9830049913658442,0.9878993815752528,0.975399914845741,0.9886995284307779,0.984672029777037,0.9873790008680391,0.9945505180551351,0.9829303060624731,0.989459830713765,0.986813739345854,0.9877222118187091,0.99114490401415,0.983195304040412,0.985751647264251,0.98769378350262,0.979560875649304,0.9752420743025859,0.9847430756906609,0.977578574397953,0.990229057804297,0.787895135855703,0.7955962468969108,0.7764771864286171,0.6072737327963921,0.960206599924419,0.553789139329603,0.533614839154501,0.649270315965339,0.823045073112278,0.8970917094962199,0.7865161628979,0.895279094048654,0.958724758388334,0.9446512668042522,0.943107044884364,0.945308553466131,0.952345665488486,0.984350251475635,0.9940051461341249,0.9894130736247561,0.991545107825045,0.9853756474487131,0.986105855985767,0.986040896849173,0.967688317976325,0.9775242162418659,0.9756245478705121,0.9833620701491409,0.9852775146852041,0.9847198737705329,0.9848511381412192,0.9815338827972829,0.991168457415135,0.9908619336758149,0.9827099517545981,0.993708658662754,0.98623464422535,0.980375774251053,0.9836902145966551,0.9844751593693399,0.988022553405797,0.9872604732040219,0.986355166430325,0.985297960459484,0.980759780428378,0.983499325971788,0.9839139897469449,0.986895026340431,0.987067487479395,0.987066238130661,0.983835704508693,0.983666608894095,0.9811077348375871,0.9840371816174559,0.9779582964110859,0.9756976491912,0.981170562265619,0.980078645035657,0.987279232859038,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+198,199,cg00005297,0.22469134405548896,0.136815413457866,0.213755546986303,0.17921886270874898,0.110546134030289,0.18076318021756999,0.26316636204751304,0.168967024351971,0.162511888921797,0.211726890970717,0.15250052592898003,0.176288000156244,0.204670699108418,0.102045057735226,0.120486309857798,0.183960044566844,0.230915172256702,0.21182128539345998,0.24657806309146402,0.235864460401912,0.19664586756827102,0.15480640516349697,0.140846943883462,0.259465317915291,0.12115367440551199,0.204542559204871,0.19460570676751301,0.237638805789177,0.19681010398426604,0.153504543837518,0.23629580387453697,0.314233361418315,0.16110472349574698,0.23788480169849102,0.116418289445352,0.12527454635375498,0.253497702057778,0.143112126036027,0.19161002012550898,0.19103841700467103,0.175428467946001,0.186329892964709,0.22770160199307002,0.158610398147086,0.134352252328433,0.19934200597687401,0.19248928194197099,0.23775993549655702,0.1603258979116,0.206583284688991,0.18264723412520498,0.116811348650409,0.19175324332059498,0.214613058215435,0.160679782877614,0.263197515424588,0.23107965336738798,0.23643331239210397,0.25678074854104,0.11854212892512599,0.103840861719251,0.23452200271717802,0.118996529289179,0.15724418226166198,0.14946722134346302,0.21886239230688,0.10692071640777198,0.140329268172752,0.199778027009478,0.20915553448554397,0.10196308937479598,0.215526992422756,0.147068459506725,0.14098236001816,0.198109363685696,0.134841311448694,0.113621821071055,0.138442672981124,0.19294496055790902,0.0673456758388394,0.161349011784539,0.126328892126505,0.138922779627262,0.17431938411996398,0.176779812911513,0.154024971786408,0.17696232717003896,0.09688108200617401,0.11196134670711698,0.149169046405234,0.133683330567388,0.1098248013725,0.145237295959096,0.142049457263403,0.148370801734662,0.202472914535614,0.18455209850858104,0.11202013773368198,0.15244267278132198,0.15389163631057998,0.0539638312801513,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+199,200,cg00005306,0.0143335587564557,0.0101540152418723,0.015881121087174,0.015607990350103998,0.0169821479211092,0.0166994531895508,0.0159354233991152,0.0159732663024273,0.0183488181362808,0.0165857050404547,0.0187928184685714,0.0166833788942475,0.0108237142739506,0.0147232077498279,0.0165504872648239,0.0122271193111953,0.0156156997099811,0.016337415817275002,0.0205373463770432,0.0174619096334222,0.0195165355303598,0.0102894436493828,0.014305992968647001,0.0187400575893197,0.0138250107591532,0.0159556729334042,0.0183227794424715,0.0159281886307009,0.0138300950920647,0.018261244227386002,0.0161177748256726,0.0166592959823071,0.0154585515438173,0.0135844711676234,0.0174220094725113,0.0206221697316345,0.0158351910955928,0.0165546401997181,0.016989881386281002,0.0196562255079077,0.016864222382016,0.0165298679578109,0.0167892513540168,0.0118188577155354,0.0177966654791248,0.0126070288884792,0.0134426984815954,0.014449391988916002,0.0188954109444672,0.0149841483718702,0.0189072121681469,0.016229008599299,0.0160110896628284,0.0167152727504594,0.0154000508780388,0.0182079729333735,0.0167835884951502,0.0141451927113791,0.0186420990422428,0.0188295861337414,0.0105192827638301,0.017160548935748,0.0177702725962326,0.0178918682482919,0.0147551561315677,0.0180487793455583,0.0183772627453743,0.020734302872418,0.0194285023204779,0.0181959977524771,0.0161191650769659,0.0227385383412848,0.021803500372202998,0.0206495856729231,0.00958600600622392,0.0095497810946799,0.0165121529626578,0.0108521523766773,0.0161899080592196,0.014263202148563,0.0159175585974647,0.0170543474225262,0.0161970632335785,0.0160610025257296,0.0174607741790987,0.0149625757692361,0.019400571284916998,0.0150598135536664,0.0200151533578656,0.0204227887358049,0.014317605988495,0.015877729166493,0.0107875158426061,0.0128416265477974,0.0288036034890338,0.0217438684921192,0.0201919783465304,0.0207332598247812,0.0178899988235361,0.0181956358226954,0.0184716522121536,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
diff --git a/docs/example_data/read_geo/GSE133355_processed_test.xlsx b/docs/example_data/read_geo/GSE133355_processed_test.xlsx
new file mode 100644
index 0000000..a1196ef
Binary files /dev/null and b/docs/example_data/read_geo/GSE133355_processed_test.xlsx differ
diff --git a/docs/example_data/read_geo/GSE72120_test.txt b/docs/example_data/read_geo/GSE72120_test.txt
new file mode 100644
index 0000000..545bfa3
--- /dev/null
+++ b/docs/example_data/read_geo/GSE72120_test.txt
@@ -0,0 +1,201 @@
+	ID_REF	2963 Unmethylated signal	2963 Methylated signal	2963 Detection Pval	2962 Unmethylated signal	2962 Methylated signal	2962 Detection Pval	2691 Unmethylated signal	2691 Methylated signal	2691 Detection Pval	2908 Unmethylated signal	2908 Methylated signal	2908 Detection Pval	2926 Unmethylated signal	2926 Methylated signal	2926 Detection Pval	2891 Unmethylated signal	2891 Methylated signal	2891 Detection Pval	2982 Unmethylated signal	2982 Methylated signal	2982 Detection Pval	4220 Unmethylated signal	4220 Methylated signal	4220 Detection Pval	4229 Unmethylated signal	4229 Methylated signal	4229 Detection Pval	4249 Unmethylated signal	4249 Methylated signal	4249 Detection Pval	4239 Unmethylated signal	4239 Methylated signal	4239 Detection Pval	4227 Unmethylated signal	4227 Methylated signal	4227 Detection Pval	6090 Unmethylated signal	6090 Methylated signal	6090 Detection Pval	2939 Unmethylated signal	2939 Methylated signal	2939 Detection Pval	2966 Unmethylated signal	2966 Methylated signal	2966 Detection Pval	7009 Unmethylated signal	7009 Methylated signal	7009 Detection Pval	2531 Unmethylated signal	2531 Methylated signal	2531 Detection Pval	6108 Unmethylated signal	6108 Methylated signal	6108 Detection Pval	2685 Unmethylated signal	2685 Methylated signal	2685 Detection Pval	6076 Unmethylated signal	6076 Methylated signal	6076 Detection Pval	7008 Unmethylated signal	7008 Methylated signal	7008 Detection Pval	2767 Unmethylated signal	2767 Methylated signal	2767 Detection Pval	6131 Unmethylated signal	6131 Methylated signal	6131 Detection Pval	6130 Unmethylated signal	6130 Methylated signal	6130 Detection Pval	2717 Unmethylated signal	2717 Methylated signal	2717 Detection Pval	7007 Unmethylated signal	7007 Methylated signal	7007 Detection Pval	2449 Unmethylated signal	2449 Methylated signal	2449 Detection Pval	2981 Unmethylated signal	2981 Methylated signal	2981 Detection Pval	2910 Unmethylated signal	2910 Methylated signal	2910 Detection Pval	6069 Unmethylated signal	6069 Methylated signal	6069 Detection Pval	2885 Unmethylated signal	2885 Methylated signal	2885 Detection Pval	2776 Unmethylated signal	2776 Methylated signal	2776 Detection Pval	2913 Unmethylated signal	2913 Methylated signal	2913 Detection Pval	2956 Unmethylated signal	2956 Methylated signal	2956 Detection Pval	6133 Unmethylated signal	6133 Methylated signal	6133 Detection Pval	2761 Unmethylated signal	2761 Methylated signal	2761 Detection Pval	2740 Unmethylated signal	2740 Methylated signal	2740 Detection Pval	6017 Unmethylated signal	6017 Methylated signal	6017 Detection Pval	2618 Unmethylated signal	2618 Methylated signal	2618 Detection Pval	4269 Unmethylated signal	4269 Methylated signal	4269 Detection Pval	2466 Unmethylated signal	2466 Methylated signal	2466 Detection Pval	2818 Unmethylated signal	2818 Methylated signal	2818 Detection Pval	6073 Unmethylated signal	6073 Methylated signal	6073 Detection Pval	2783 Unmethylated signal	2783 Methylated signal	2783 Detection Pval	4248 Unmethylated signal	4248 Methylated signal	4248 Detection Pval	2454 Unmethylated signal	2454 Methylated signal	2454 Detection Pval	2778 Unmethylated signal	2778 Methylated signal	2778 Detection Pval	6126 Unmethylated signal	6126 Methylated signal	6126 Detection Pval	6013 Unmethylated signal	6013 Methylated signal	6013 Detection Pval	7004 Unmethylated signal	7004 Methylated signal	7004 Detection Pval	2763 Unmethylated signal	2763 Methylated signal	2763 Detection Pval	2307 Unmethylated signal	2307 Methylated signal	2307 Detection Pval	2680 Unmethylated signal	2680 Methylated signal	2680 Detection Pval	2666 Unmethylated signal	2666 Methylated signal	2666 Detection Pval	7005 Unmethylated signal	7005 Methylated signal	7005 Detection Pval	2406 Unmethylated signal	2406 Methylated signal	2406 Detection Pval	2488 Unmethylated signal	2488 Methylated signal	2488 Detection Pval	7006 Unmethylated signal	7006 Methylated signal	7006 Detection Pval	6036 Unmethylated signal	6036 Methylated signal	6036 Detection Pval	4270 Unmethylated signal	4270 Methylated signal	4270 Detection Pval	2866 Unmethylated signal	2866 Methylated signal	2866 Detection Pval	2736 Unmethylated signal	2736 Methylated signal	2736 Detection Pval	2914 Unmethylated signal	2914 Methylated signal	2914 Detection Pval	6134 Unmethylated signal	6134 Methylated signal	6134 Detection Pval	4285 Unmethylated signal	4285 Methylated signal	4285 Detection Pval	2865 Unmethylated signal	2865 Methylated signal	2865 Detection Pval	2368 Unmethylated signal	2368 Methylated signal	2368 Detection Pval	2667 Unmethylated signal	2667 Methylated signal	2667 Detection Pval	6127 Unmethylated signal	6127 Methylated signal	6127 Detection Pval	7002 Unmethylated signal	7002 Methylated signal	7002 Detection Pval	2396 Unmethylated signal	2396 Methylated signal	2396 Detection Pval	2743 Unmethylated signal	2743 Methylated signal	2743 Detection Pval
+0	cg13869341	928	5432	0.0	942	5657	0.0	559	4762	0.0	768	5777	0.0	1328	10919	0.0	2373	11907	0.0	635	2963	0.0	323	2827	0.0	462	3121	0.0	666	3133	0.0	1307	7090	0.0	2353	10327	0.0	3270	17808	0.0	1966	17845	0.0	3435	19044	0.0	3717	18295	0.0	3702	20468	0.0	3897	19361	0.0	1878	16552	0.0	1138	16219	0.0	1775	18375	0.0	1670	18446	0.0	2962	18718	0.0	2939	19885	0.0	2248	14771	0.0	3650	15052	0.0	2315	15983	0.0	2494	16011	0.0	2714	17402	0.0	2438	17060	0.0	2754	14953	0.0	1569	16792	0.0	2002	15544	0.0	1887	17115	0.0	2754	17903	0.0	2585	18680	0.0	2627	16900	0.0	1674	18414	0.0	3696	18118	0.0	1663	17504	0.0	1634	16742	0.0	2391	16026	0.0	1947	15653	0.0	2981	16247	0.0	1594	17544	0.0	1922	17967	0.0	2475	17932	0.0	2088	16959	0.0	2291	15104	0.0	2087	16918	0.0	2508	17894	0.0	3317	18134	0.0	1635	18516	0.0	2671	19660	0.0	2767	14819	0.0	1555	16881	0.0	2586	16211	0.0	1515	16087	0.0	1633	17273	0.0	1496	17690	0.0	3929	16470	0.0	3691	16556	0.0	2502	17762	0.0	1655	17522	0.0	1555	17555	0.0	2523	19205	0.0	1775	16362	0.0	2485	17685	0.0	1467	15858	0.0	2481	16096	0.0	2673	17818	0.0	1623	17271	0.0
+1	cg14008030	1946	5823	0.0	3001	4738	0.0	1371	5700	0.0	1896	5801	0.0	3714	10746	0.0	4057	11408	0.0	1086	2045	0.0	860	2602	0.0	944	2542	0.0	1062	3490	0.0	3534	9048	0.0	5166	12076	0.0	4699	8730	0.0	4137	10496	0.0	5981	10087	0.0	5434	11635	0.0	4360	11224	0.0	5609	11084	0.0	5141	8657	0.0	4870	9510	0.0	5210	10545	0.0	4668	11876	0.0	7167	11520	0.0	5595	12699	0.0	3870	9095	0.0	5334	9507	0.0	3484	10376	0.0	5365	9955	0.0	6088	10394	0.0	6366	11160	0.0	4105	8187	0.0	5620	9161	0.0	5126	10086	0.0	6147	9902	0.0	4921	10682	0.0	5360	11513	0.0	5091	8467	0.0	3778	9085	0.0	6186	8851	0.0	4346	10806	0.0	4467	10615	0.0	3375	11746	0.0	4472	7997	0.0	5743	8805	0.0	5552	9741	0.0	4956	10350	0.0	4134	11493	0.0	4656	12804	0.0	4430	7788	0.0	5620	9101	0.0	5124	10414	0.0	6107	10022	0.0	6229	10846	0.0	5113	11373	0.0	5326	7377	0.0	5335	8343	0.0	3467	10639	0.0	3979	11934	0.0	4710	11067	0.0	4253	12900	0.0	4973	7825	0.0	5516	8348	0.0	4767	9290	0.0	6106	10156	0.0	4653	11156	0.0	5018	10742	0.0	6097	7874	0.0	5780	9173	0.0	4861	9636	0.0	4015	10835	0.0	5426	9399	0.0	5788	10429	0.0
+2	cg12045430	3724	246	0.0	3539	204	0.0	3163	261	0.0	4004	218	0.0	6792	309	0.0	7298	438	0.0	1662	204	0.0	1821	194	0.0	1887	151	0.0	2254	170	0.0	4506	257	0.0	7036	407	0.0	10580	803	0.0	11515	786	0.0	11177	938	0.0	11790	916	0.0	11744	861	0.0	11774	1101	0.0	9643	959	0.0	9728	747	0.0	11340	935	0.0	11506	817	0.0	12173	1043	0.0	11606	1258	0.0	10229	678	0.0	9701	622	0.0	9608	750	0.0	9995	581	0.0	11050	744	0.0	10310	742	0.0	8762	423	0.0	10280	865	0.0	9777	583	0.0	10063	615	0.0	11229	673	0.0	11276	882	0.0	8456	825	0.0	9405	909	0.0	10279	909	0.0	9610	860	0.0	9165	851	0.0	8151	896	0.0	7752	715	0.0	9201	793	0.0	8985	808	0.0	10055	715	0.0	9275	696	0.0	8589	786	0.0	8239	602	0.0	9796	657	0.0	9963	684	0.0	10435	698	0.0	9220	703	0.0	9581	882	0.0	8165	607	0.0	9821	590	0.0	9756	514	0.0	9552	704	0.0	9678	637	0.0	10108	814	0.0	9134	866	0.0	10018	814	0.0	10126	925	0.0	9311	678	0.0	8934	806	0.0	10050	799	0.0	8837	653	0.0	9387	965	0.0	8718	773	0.0	9269	811	0.0	9085	805	0.0	8731	836	0.0
+3	cg20826792	3664	356	0.0	3290	270	0.0	3244	438	0.0	3428	351	0.0	6669	651	0.0	6960	1019	0.0	1651	214	0.0	1467	286	0.0	1778	241	0.0	2140	271	0.0	4239	415	0.0	5751	590	0.0	9722	1929	0.0	9196	2166	0.0	10019	1606	0.0	10324	1979	0.0	10161	1795	0.0	10302	2169	0.0	9319	1816	0.0	8531	1749	0.0	9437	2072	0.0	9790	2005	0.0	10515	2055	0.0	10774	2118	0.0	8449	1448	0.0	8555	1616	0.0	8849	1238	0.0	8868	1295	0.0	9347	1217	0.0	9924	1153	0.0	8149	1285	0.0	9303	1633	0.0	8938	1261	0.0	9664	1549	0.0	9409	1325	0.0	10090	1693	0.0	8939	1826	0.0	9711	1859	0.0	9835	1712	0.0	9251	1699	0.0	8375	1489	0.0	8763	1654	0.0	8535	1266	0.0	9656	1562	0.0	9206	1339	0.0	9839	1563	0.0	9861	1676	0.0	8966	1306	0.0	7940	1161	0.0	9227	1456	0.0	9198	1581	0.0	9479	1488	0.0	9155	1782	0.0	9936	1459	0.0	7504	1070	0.0	8993	1422	0.0	8628	1538	0.0	8926	1110	0.0	8917	1251	0.0	9239	1437	0.0	9177	1875	0.0	8933	1401	0.0	9969	1563	0.0	9462	1427	0.0	9290	1539	0.0	10592	1261	0.0	8627	1462	0.0	8450	1685	0.0	8667	1526	0.0	8381	1436	0.0	8722	1348	0.0	9401	1457	0.0
+4	cg00381604	2314	206	0.0	2164	217	0.0	2386	220	0.0	2446	226	0.0	4605	330	0.0	4939	312	0.0	1268	163	0.0	1127	116	0.0	1062	159	0.0	1467	149	0.0	3125	244	0.0	5139	410	0.0	8534	686	0.0	8216	735	0.0	8911	745	0.0	8596	756	0.0	9284	843	0.0	8608	902	0.0	7517	668	0.0	7504	582	0.0	8399	689	0.0	8556	778	0.0	8872	747	0.0	9200	920	0.0	7778	492	0.0	6977	559	0.0	6754	628	0.0	7705	453	0.0	8300	508	0.0	8571	632	0.0	6552	286	0.0	7810	481	0.0	8028	487	0.0	8000	581	0.0	8444	585	0.0	8804	733	0.0	7875	784	0.0	9126	868	0.0	7967	740	0.0	7083	715	0.0	8223	551	0.0	7315	679	0.0	7522	553	0.0	8005	700	0.0	7433	743	0.0	7903	553	0.0	8497	646	0.0	7720	761	0.0	6868	527	0.0	8170	530	0.0	7575	505	0.0	7698	836	0.0	7345	569	0.0	8307	585	0.0	6652	469	0.0	7625	551	0.0	7804	587	0.0	7394	540	0.0	7641	594	0.0	7344	578	0.0	7677	689	0.0	7904	616	0.0	7843	560	0.0	7706	623	0.0	7540	497	0.0	8720	766	0.0	7572	649	0.0	7304	496	0.0	6940	630	0.0	7245	692	0.0	7882	602	0.0	7589	718	0.0
+5	cg20253340	282	835	0.0	295	690	0.0	743	1368	0.0	641	1245	0.0	1114	3043	0.0	1270	4633	0.0	560	910	0.0	516	1016	0.0	293	608	0.0	574	1486	0.0	661	1696	0.0	1301	3147	0.0	3403	3344	0.0	1451	2730	0.0	1789	1886	0.0	5693	5458	0.0	3582	5292	0.0	4565	5282	0.0	4184	3337	0.0	3069	4308	0.0	3188	6612	0.0	4798	5490	0.0	5003	6992	0.0	5100	6109	0.0	2166	5242	0.0	2702	5088	0.0	2812	4951	0.0	4422	5043	0.0	2530	5583	0.0	2191	3311	0.0	2769	3697	0.0	4454	3230	0.0	4762	5275	0.0	3313	4994	0.0	5677	6335	0.0	4587	6559	0.0	3845	4294	0.0	6062	4756	0.0	4122	5301	0.0	2461	4855	0.0	3906	5269	0.0	3871	6514	0.0	1915	3204	0.0	3841	5793	0.0	2580	5814	0.0	2594	5488	0.0	1642	7330	0.0	2263	7078	0.0	4057	3898	0.0	3491	5435	0.0	2212	3439	0.0	2747	2804	0.0	2732	5412	0.0	4239	6497	0.0	3610	3693	0.0	2778	2544	0.0	2508	4714	0.0	2978	5386	0.0	3365	6669	0.0	3760	5466	0.0	2516	4734	0.0	4112	3568	0.0	4564	4561	0.0	3466	6331	0.0	2647	5135	0.0	5003	6305	0.0	2733	2913	0.0	3455	4626	0.0	1759	3379	0.0	3413	5679	0.0	1859	2538	0.0	2729	5168	0.0
+6	cg21870274	303	1077	0.0	232	1733	0.0	508	2137	0.0	474	2203	0.0	984	4508	0.0	1037	5650	0.0	405	1270	0.0	326	1225	0.0	239	1002	0.0	355	2066	0.0	656	2691	0.0	971	5422	0.0	1712	4425	0.0	922	3139	0.0	742	2720	0.0	3183	6742	0.0	2391	5588	0.0	2490	6312	0.0	1726	4274	0.0	1334	5205	0.0	2530	6976	0.0	2469	6449	0.0	2563	7554	0.0	2411	7021	0.0	1523	4679	0.0	1758	5180	0.0	1736	4501	0.0	2117	5828	0.0	2217	5146	0.0	1199	4908	0.0	1782	3826	0.0	1938	4936	0.0	2200	5616	0.0	1885	5813	0.0	2490	6773	0.0	2159	6861	0.0	2308	4504	0.0	2981	5141	0.0	1870	5007	0.0	1547	4643	0.0	1813	5376	0.0	1387	5403	0.0	1515	3503	0.0	1913	5069	0.0	1775	4746	0.0	1742	5699	0.0	2176	6050	0.0	1983	6487	0.0	2024	4611	0.0	2089	5791	0.0	1408	4157	0.0	1789	4985	0.0	1489	5247	0.0	2435	6734	0.0	1756	4086	0.0	1265	3515	0.0	2121	5460	0.0	1383	5472	0.0	1711	6490	0.0	1893	6043	0.0	1799	4491	0.0	1704	4654	0.0	2093	5240	0.0	1994	5226	0.0	1180	4382	0.0	2401	6409	0.0	1437	3552	0.0	1771	4801	0.0	1227	3647	0.0	2210	5397	0.0	1090	3219	0.0	1440	4985	0.0
+7	cg03130891	414	119	0.0	367	140	0.0	292	125	0.0	309	155	0.0	412	235	0.0	813	358	0.0	192	109	0.0	244	117	0.0	231	118	0.0	154	145	0.166666666666667	322	269	0.0	443	309	0.0033333333333333	504	281	0.0083333333333333	689	281	0.0	504	240	0.0133333333333333	679	303	0.0	897	310	0.0	730	295	0.0	458	269	0.00166666666666671	674	297	0.0	2161	336	0.0	1452	370	0.0	776	328	0.0	723	407	0.005	887	304	0.0	692	300	0.0	1679	279	0.0	1035	234	0.0	764	248	0.0	1099	356	0.0	562	189	0.0	614	344	0.0	670	252	0.0	887	257	0.0	1766	306	0.0	745	213	0.0	837	374	0.0	936	478	0.0	822	310	0.0	633	501	0.0733333333333334	777	407	0.005	829	639	0.0	935	302	0.0	934	339	0.0	697	322	0.01	637	430	0.251666666666667	753	398	0.00166666666666671	588	520	0.21666666666666698	586	194	0.0	624	246	0.0	690	305	0.0	695	244	0.0	603	328	0.0	1048	383	0.0	386	207	0.0	507	253	0.0033333333333333	507	278	0.00166666666666671	497	393	0.00166666666666671	1239	315	0.0	599	356	0.0	521	269	0.0033333333333333	634	312	0.0	582	308	0.0083333333333333	566	334	0.00166666666666671	906	295	0.0	723	410	0.0	869	241	0.0	1077	309	0.0	554	294	0.015	635	332	0.0	932	397	0.0	721	469	0.0
+8	cg24335620	762	3701	0.0	586	3703	0.0	648	4209	0.0	705	4480	0.0	1287	7680	0.0	1579	11447	0.0	483	2129	0.0	522	2039	0.0	414	2118	0.0	650	2885	0.0	1288	6863	0.0	1522	11216	0.0	4284	8476	0.0	1505	9086	0.0	2492	8818	0.0	2529	10278	0.0	2532	10381	0.0	3447	10493	0.0	3239	7618	0.0	3989	8542	0.0	3789	9839	0.0	2741	11063	0.0	3674	11764	0.0	4222	12218	0.0	3636	7896	0.0	2605	8762	0.0	2472	8542	0.0	2376	9164	0.0	2189	9532	0.0	2937	9767	0.0	2233	6938	0.0	3176	8070	0.0	1925	8430	0.0	2017	8733	0.0	2446	9715	0.0	3063	10489	0.0	2858	8293	0.0	3858	8353	0.0	2380	9552	0.0	3110	9952	0.0	2327	9214	0.0	2800	10891	0.0	2695	7754	0.0	2575	8983	0.0	2165	8643	0.0	1942	10531	0.0	1731	9752	0.0	3455	11411	0.0	2159	7581	0.0	2418	8536	0.0	2891	9090	0.0	3048	9790	0.0	2451	9982	0.0	2497	10168	0.0	2703	6875	0.0	2648	8168	0.0	3408	9198	0.0	2434	9410	0.0	2389	9579	0.0	3963	11280	0.0	2749	7653	0.0	2385	8171	0.0	2309	8890	0.0	2984	9828	0.0	3084	8944	0.0	2648	10414	0.0	2002	7656	0.0	2329	8519	0.0	2842	8999	0.0	2668	8711	0.0	3245	8670	0.0	3058	10487	0.0
+9	cg16162899	181	527	0.0	222	229	0.0	219	1117	0.0	241	807	0.0	287	1276	0.0	546	4122	0.0	130	603	0.0	150	528	0.0	165	732	0.0	160	942	0.0	276	1941	0.0	373	3291	0.0	551	1993	0.0	664	3534	0.0	515	2825	0.0	403	3557	0.0	665	3353	0.0	794	5676	0.0	374	3015	0.0	598	3565	0.0	626	3265	0.0	630	3493	0.0	703	2670	0.0	622	2803	0.0	389	1736	0.0	390	2104	0.0	620	3960	0.0	316	899	0.0	477	3556	0.0	515	2411	0.0	476	3142	0.0	550	3900	0.0	413	3193	0.0	656	4666	0.0	459	4359	0.0	712	3395	0.0	763	2601	0.0	623	1730	0.0	654	2545	0.0	523	1144	0.0	677	1849	0.0	541	2840	0.0	469	1898	0.0	630	1843	0.0	715	3352	0.0	731	3941	0.0	540	2187	0.0	870	4207	0.0	482	2574	0.0	564	2572	0.0	470	1837	0.0	461	2420	0.0	615	3180	0.0	545	3944	0.0	394	1940	0.0	663	2736	0.0	541	3392	0.0	491	1710	0.0	513	3646	0.0	515	3527	0.0	510	2038	0.0	750	3236	0.0	631	2613	0.0	366	2305	0.0	430	1456	0.0	667	2597	0.0	465	1644	0.0	530	3236	0.0	618	2529	0.0	641	3804	0.0	548	1596	0.0	592	2101	0.0
+10	cg17149495	257	599	0.0	169	544	0.0	227	615	0.0	284	578	0.0	398	973	0.0	495	1667	0.0	163	347	0.0	277	356	0.0	189	394	0.0	157	356	0.0	270	1031	0.0	367	1233	0.0	867	3066	0.0	707	2381	0.0	856	2077	0.0	776	3597	0.0	681	3777	0.0	918	3771	0.0	734	2647	0.0	757	3168	0.0	643	2457	0.0	817	2509	0.0	765	4551	0.0	914	4609	0.0	464	1528	0.0	772	2432	0.0	605	2008	0.0	592	2988	0.0	727	2599	0.0	767	1157	0.0	462	3036	0.0	518	1998	0.0	592	2994	0.0	826	1955	0.0	560	3264	0.0	687	3645	0.0	852	3185	0.0	1057	4268	0.0	730	2670	0.0	868	1557	0.0	662	3337	0.0	721	2922	0.0	616	2469	0.0	795	1553	0.0	664	3423	0.0	741	2468	0.0	750	2811	0.0	714	1630	0.0	556	2466	0.0	632	2056	0.0	590	3039	0.0	731	3190	0.0	561	3434	0.0	534	3362	0.0	421	2673	0.0	655	3221	0.0	696	2002	0.0	701	2337	0.0	608	2371	0.0	487	3597	0.0	814	2543	0.0	961	2643	0.0	652	3081	0.0	702	2227	0.0	590	1881	0.0	832	2329	0.0	655	1827	0.0	608	2550	0.0	841	1913	0.0	773	2965	0.0	713	2240	0.0	672	3294	0.0
+11	cg22802167	417	7750	0.0	344	7119	0.0	616	8381	0.0	449	9201	0.0	716	14912	0.0	1490	17783	0.0	201	3768	0.0	283	3692	0.0	333	3577	0.0	397	5167	0.0	1126	11842	0.0	1065	18065	0.0	763	12850	0.0	1262	14245	0.0	1387	15576	0.0	896	18119	0.0	839	16230	0.0	1272	17592	0.0	886	12696	0.0	1168	14246	0.0	1237	18180	0.0	1180	17362	0.0	1019	18586	0.0	878	18355	0.0	712	12506	0.0	817	14451	0.0	921	14498	0.0	622	14135	0.0	994	16250	0.0	777	17141	0.0	614	11546	0.0	835	14430	0.0	906	16140	0.0	1163	14557	0.0	698	15272	0.0	788	17241	0.0	939	13442	0.0	706	12961	0.0	777	15020	0.0	718	16303	0.0	946	15493	0.0	1053	17016	0.0	801	12404	0.0	983	14844	0.0	829	15218	0.0	1169	17006	0.0	999	16295	0.0	1395	19020	0.0	516	11961	0.0	836	13294	0.0	774	15103	0.0	834	14961	0.0	973	15896	0.0	959	17147	0.0	551	10765	0.0	748	12579	0.0	752	14681	0.0	773	15708	0.0	740	15572	0.0	664	19281	0.0	708	11043	0.0	771	12878	0.0	873	15821	0.0	730	15317	0.0	787	15653	0.0	795	15840	0.0	630	12393	0.0	812	13669	0.0	1120	15778	0.0	792	15192	0.0	1073	15774	0.0	735	16687	0.0
+12	cg24669183	437	1687	0.0	270	1656	0.0	670	2595	0.0	414	2242	0.0	833	4537	0.0	1226	6591	0.0	229	814	0.0	249	1144	0.0	242	853	0.0	379	1261	0.0	668	3897	0.0	702	4702	0.0	1233	4281	0.0	1948	6415	0.0	1132	3945	0.0	1530	6352	0.0	1598	6169	0.0	1795	5773	0.0	827	4245	0.0	1491	5263	0.0	818	2997	0.0	1785	7054	0.0	2338	7610	0.0	2290	6751	0.0	1521	4699	0.0	1927	5748	0.0	1756	5749	0.0	1697	5214	0.0	1339	6197	0.0	1219	4852	0.0	1548	4302	0.0	1692	4874	0.0	1467	4697	0.0	1162	4235	0.0	1682	6426	0.0	1762	5689	0.0	1604	4639	0.0	2146	5613	0.0	1544	5062	0.0	2334	6601	0.0	1928	6104	0.0	1542	5903	0.0	1396	4412	0.0	1727	5054	0.0	1513	5166	0.0	1757	5704	0.0	1285	5017	0.0	1239	4453	0.0	1687	4863	0.0	1640	5509	0.0	1747	5486	0.0	1537	4726	0.0	2032	6310	0.0	1697	6828	0.0	1432	3837	0.0	1380	4229	0.0	1245	4459	0.0	1422	5538	0.0	1173	5087	0.0	1329	5660	0.0	1636	4297	0.0	1507	4938	0.0	1583	5088	0.0	1375	3544	0.0	1019	4335	0.0	1349	4413	0.0	1401	4406	0.0	1680	5334	0.0	1457	4043	0.0	1778	5861	0.0	1381	5038	0.0	1838	6321	0.0
+13	cg17308840	1504	778	0.0	1164	1364	0.0	2237	1106	0.0	2104	1254	0.0	3590	2114	0.0	4398	3102	0.0	965	710	0.0	1099	751	0.0	1219	639	0.0	1140	872	0.0	3569	2530	0.0	3649	3110	0.0	8052	2583	0.0	7309	2833	0.0	7018	2817	0.0	8255	3755	0.0	7046	2801	0.0	9246	2610	0.0	6311	2367	0.0	8322	3118	0.0	6414	3570	0.0	8381	3246	0.0	9030	4181	0.0	9611	3671	0.0	5462	2496	0.0	7510	2828	0.0	7555	2698	0.0	8844	3131	0.0	7196	2992	0.0	6428	3484	0.0	8323	2215	0.0	7342	2328	0.0	7366	2669	0.0	8676	3012	0.0	8415	2980	0.0	7044	3854	0.0	7825	1896	0.0	7205	2144	0.0	7509	2459	0.0	6422	2370	0.0	6304	2806	0.0	5792	3174	0.0	6323	1669	0.0	5552	2247	0.0	7474	2456	0.0	7991	2885	0.0	5874	2306	0.0	6612	2881	0.0	7695	1880	0.0	6018	2105	0.0	7147	2540	0.0	8337	3035	0.0	7030	2691	0.0	6631	2119	0.0	5537	2001	0.0	6632	2718	0.0	5997	2656	0.0	6175	2922	0.0	6317	2957	0.0	7153	2989	0.0	6440	1502	0.0	7391	1954	0.0	7253	2056	0.0	7282	2277	0.0	4741	1978	0.0	6718	2405	0.0	5757	1560	0.0	6223	1815	0.0	5534	1610	0.0	7620	2342	0.0	5338	2195	0.0	7771	2379	0.0
+14	cg17866181	175	263	0.0	198	266	0.0	202	691	0.0	188	473	0.0	195	1204	0.0	369	2813	0.0	237	214	0.0	108	337	0.0	187	487	0.0	126	368	0.0	172	793	0.0	369	928	0.0	626	2615	0.0	601	1077	0.0	558	987	0.0	574	1505	0.0	778	1462	0.0	740	3023	0.0	458	1772	0.0	358	1985	0.0	597	822	0.0	458	1786	0.0	768	2450	0.0	464	2089	0.0	322	1181	0.0	438	1522	0.0	386	1429	0.0	437	1990	0.0	308	1015	0.0	405	2041	0.0	309	1024	0.0	318	994	0.0	446	1438	0.0	378	1483	0.0	398	2167	0.0	356	848	0.0	586	994	0.0	577	1257	0.0	424	1214	0.0	451	1303	0.0	546	1270	0.0	629	1282	0.0	473	1003	0.0	440	941	0.0	534	1594	0.0	504	1022	0.0	548	1250	0.0	501	1163	0.0	371	1941	0.0	359	1279	0.0	553	1976	0.0	460	1107	0.0	520	1818	0.0	531	1491	0.0	309	1071	0.0	431	1160	0.0	398	1721	0.0	474	1820	0.0	293	1774	0.0	452	2290	0.0	511	1060	0.0	586	2236	0.0	595	1732	0.0	527	1269	0.0	400	1100	0.0	655	2569	0.0	486	1139	0.0	355	1341	0.0	366	981	0.0	536	2132	0.0	509	925	0.0	484	1345	0.0
+15	cg24159721	6734	1269	0.0	5973	1251	0.0	5779	1373	0.0	6252	1375	0.0	10778	3034	0.0	11909	3934	0.0	3323	734	0.0	3065	663	0.0	3459	779	0.0	3770	968	0.0	7677	2658	0.0	11608	4422	0.0	15029	2279	0.0	15689	2728	0.0	17401	3620	0.0	16320	2818	0.0	17323	2756	0.0	15579	3299	0.0	13596	2159	0.0	14351	2506	0.0	15218	3184	0.0	15307	2911	0.0	16188	3079	0.0	16494	3497	0.0	10832	1784	0.0	13224	2077	0.0	12860	2246	0.0	14133	2109	0.0	14007	2185	0.0	14690	2313	0.0	11013	1637	0.0	12965	1734	0.0	13212	2278	0.0	13579	2751	0.0	14581	2260	0.0	15205	2665	0.0	14276	2277	0.0	14803	2444	0.0	14608	2491	0.0	14737	2602	0.0	13325	2540	0.0	13037	3169	0.0	11298	2120	0.0	13394	2431	0.0	15286	2460	0.0	15034	2889	0.0	15012	2957	0.0	14051	3323	0.0	13007	2186	0.0	14200	2437	0.0	15000	2605	0.0	14365	2682	0.0	15190	2808	0.0	16294	3122	0.0	11649	1696	0.0	13673	2256	0.0	13644	2146	0.0	14075	2700	0.0	14201	2657	0.0	15213	3009	0.0	14334	2191	0.0	14787	2159	0.0	15029	2481	0.0	14997	2556	0.0	15763	2297	0.0	15935	2532	0.0	13673	2068	0.0	14166	2600	0.0	14243	2480	0.0	12791	2313	0.0	14695	2421	0.0	15255	2786	0.0
+16	cg15174812	3660	882	0.0	3642	934	0.0	2907	914	0.0	2875	858	0.0	5949	1843	0.0	6755	2494	0.0	1632	471	0.0	1492	479	0.0	1557	398	0.0	1792	496	0.0	3567	1468	0.0	6673	2650	0.0	9637	1643	0.0	8309	1456	0.0	11081	2609	0.0	10577	2142	0.0	10825	1810	0.0	11694	2459	0.0	10334	1815	0.0	9033	1887	0.0	10387	1933	0.0	9956	2166	0.0	11103	2488	0.0	12390	2646	0.0	8127	1526	0.0	8377	1551	0.0	7266	1460	0.0	7991	1668	0.0	8585	1675	0.0	8665	1781	0.0	7724	1365	0.0	7746	1288	0.0	7954	1450	0.0	8747	1513	0.0	8622	1716	0.0	10906	2492	0.0	10373	1813	0.0	11256	1861	0.0	11009	2019	0.0	10117	1932	0.0	9862	2090	0.0	9530	2535	0.0	9267	2030	0.0	9769	1793	0.0	9880	1822	0.0	11097	2407	0.0	8916	1814	0.0	10185	2672	0.0	9104	1450	0.0	9627	1728	0.0	10862	1822	0.0	10374	2219	0.0	10831	2150	0.0	11790	2459	0.0	9382	1424	0.0	9885	1788	0.0	8783	1615	0.0	9376	1985	0.0	8873	1979	0.0	10104	2131	0.0	10639	2076	0.0	8476	1461	0.0	10382	1701	0.0	8915	1569	0.0	10237	1620	0.0	11228	1855	0.0	10327	1490	0.0	10455	1829	0.0	9559	1667	0.0	10021	2213	0.0	9814	1826	0.0	9675	1872	0.0
+17	cg08477687	350	205	0.0	347	224	0.0	466	321	0.0	318	254	0.0	642	440	0.0	781	941	0.0	195	199	0.0	277	451	0.0	230	225	0.0	169	180	0.0566666666666666	648	642	0.0	761	550	0.0	1453	997	0.0	1647	504	0.0	1802	397	0.0	2047	939	0.0	2162	986	0.0	2100	697	0.0	823	761	0.0	1525	1112	0.0	1976	541	0.0	1890	765	0.0	2231	1286	0.0	2516	1188	0.0	1249	567	0.0	1445	858	0.0	1784	800	0.0	1780	780	0.0	1779	733	0.0	1818	281	0.0	1412	842	0.0	1581	603	0.0	1750	835	0.0	1673	687	0.0	1847	791	0.0	2069	740	0.0	1155	935	0.0	2072	1087	0.0	1748	1031	0.0	1792	695	0.0	1495	1053	0.0	1652	947	0.0	1223	580	0.0	1582	717	0.0	1410	914	0.0	1509	1122	0.0	1492	820	0.0	1666	957	0.0	1177	1226	0.0	1364	664	0.0	1715	710	0.0	1816	927	0.0	1743	901	0.0	1754	953	0.0	1040	816	0.0	1671	649	0.0	1546	615	0.0	1547	556	0.0	1437	835	0.0	525	1614	0.0	862	606	0.0	1155	839	0.0	1268	848	0.0	1344	1180	0.0	1451	798	0.0	1418	811	0.0	917	490	0.0	1248	780	0.0	1276	483	0.0	1386	1348	0.0	1386	643	0.0	1313	1159	0.0
+18	cg00034556	2643	1969	0.0	2300	1216	0.0	2297	1500	0.0	2461	1329	0.0	4711	2608	0.0	4827	5232	0.0	1314	723	0.0	1102	880	0.0	1311	1130	0.0	1367	551	0.0	3102	2889	0.0	5366	5147	0.0	7790	3848	0.0	5806	2428	0.0	8127	2670	0.0	7820	3774	0.0	7918	3516	0.0	8604	3807	0.0	7217	2571	0.0	7343	4317	0.0	8050	2947	0.0	7918	3506	0.0	8113	4607	0.0	8643	4589	0.0	6273	1967	0.0	6561	3278	0.0	6916	3377	0.0	7294	3396	0.0	7055	3067	0.0	7382	1346	0.0	5863	3131	0.0	6619	3170	0.0	6692	3003	0.0	7265	3009	0.0	7779	3550	0.0	8600	3805	0.0	6899	3326	0.0	7677	3362	0.0	7412	3628	0.0	7027	3272	0.0	6849	3959	0.0	6632	3383	0.0	6656	2848	0.0	7466	2548	0.0	6584	3525	0.0	7435	5596	0.0	7083	4172	0.0	6434	3184	0.0	6331	3124	0.0	7151	3431	0.0	7991	3585	0.0	8562	4714	0.0	7726	4070	0.0	8447	3788	0.0	6290	2702	0.0	7155	2829	0.0	6772	2446	0.0	6513	2594	0.0	7261	2892	0.0	7710	4682	0.0	7360	2768	0.0	7014	3982	0.0	7639	3410	0.0	6667	4236	0.0	6909	2720	0.0	7457	2886	0.0	6383	2105	0.0	7571	3046	0.0	6948	2676	0.0	7010	3717	0.0	6428	2589	0.0	5597	4412	0.0
+19	cg00645010	2579	309	0.0	2690	431	0.0	3036	399	0.0	3005	392	0.0	5330	836	0.0	6661	1149	0.0	1421	234	0.0	1602	271	0.0	1541	326	0.0	1805	313	0.0	4232	1051	0.0	5788	1096	0.0	9739	922	0.0	9850	774	0.0	10086	774	0.0	11417	1202	0.0	10905	998	0.0	10377	949	0.0	8955	739	0.0	8838	1022	0.0	10173	886	0.0	9722	938	0.0	10884	1432	0.0	10216	1384	0.0	7824	644	0.0	8072	835	0.0	9282	899	0.0	9255	853	0.0	9669	961	0.0	10022	622	0.0	7733	802	0.0	9509	671	0.0	9171	888	0.0	9581	966	0.0	9989	1020	0.0	10825	1021	0.0	6929	880	0.0	8665	1098	0.0	8465	1012	0.0	9242	774	0.0	8287	1116	0.0	7269	1157	0.0	6256	660	0.0	7663	781	0.0	8773	1002	0.0	8946	1362	0.0	8300	1083	0.0	7720	1024	0.0	7713	1089	0.0	8751	954	0.0	9013	845	0.0	8973	949	0.0	9358	1096	0.0	8927	948	0.0	7103	570	0.0	8816	874	0.0	8916	789	0.0	8680	1053	0.0	8383	859	0.0	7630	1087	0.0	7379	591	0.0	7841	924	0.0	8231	833	0.0	8126	1032	0.0	8178	775	0.0	7716	811	0.0	7129	536	0.0	7862	759	0.0	7733	614	0.0	7611	1176	0.0	6795	666	0.0	6696	1177	0.0
+20	cg15394630	8079	1960	0.0	7854	1821	0.0	8301	2435	0.0	8007	1914	0.0	13923	3453	0.0	15510	5721	0.0	4276	1040	0.0	4202	1199	0.0	4394	1606	0.0	4781	679	0.0	9648	3646	0.0	14737	4989	0.0	17348	3721	0.0	17277	2850	0.0	19732	3261	0.0	20112	5018	0.0	20725	4467	0.0	21931	4984	0.0	17151	3218	0.0	16989	4655	0.0	19019	3521	0.0	18061	4260	0.0	19747	5223	0.0	21792	5575	0.0	15765	2467	0.0	15179	3621	0.0	15879	4137	0.0	16769	3611	0.0	18405	4132	0.0	19015	2028	0.0	14915	3721	0.0	16009	2989	0.0	16659	4071	0.0	18169	3997	0.0	19230	4424	0.0	21686	4535	0.0	18175	4299	0.0	19117	4205	0.0	18307	4393	0.0	18841	3857	0.0	17636	4950	0.0	17855	4104	0.0	15858	3268	0.0	17432	3376	0.0	16540	4665	0.0	19401	6028	0.0	16895	4546	0.0	17986	4483	0.0	15870	4152	0.0	17841	3254	0.0	18434	4481	0.0	19004	5214	0.0	19138	5121	0.0	20070	4152	0.0	15505	3214	0.0	18327	3480	0.0	16966	3511	0.0	17629	3652	0.0	17868	3526	0.0	18591	6066	0.0	16406	3647	0.0	16508	4051	0.0	17991	4269	0.0	17602	5372	0.0	17928	2928	0.0	18850	3775	0.0	16874	2777	0.0	18628	3774	0.0	17345	3013	0.0	17293	5104	0.0	17707	3413	0.0	17712	5926	0.0
+21	cg05001044	4643	669	0.0	4971	913	0.0	6219	1391	0.0	5764	1113	0.0	9682	2327	0.0	12450	3116	0.0	2694	405	0.0	2584	603	0.0	2833	447	0.0	3118	597	0.0	8081	2142	0.0	9532	2927	0.0	14761	2223	0.0	15347	2067	0.0	17337	2031	0.0	17462	2773	0.0	16190	2074	0.0	18742	2791	0.0	14793	2345	0.0	15343	2444	0.0	16426	2516	0.0	15667	2078	0.0	18398	3090	0.0	19037	3637	0.0	15806	1832	0.0	15896	2245	0.0	15221	2136	0.0	16721	2384	0.0	17408	2300	0.0	16881	2408	0.0	13743	1905	0.0	15269	1831	0.0	14524	1827	0.0	16267	2208	0.0	18158	2454	0.0	18328	2909	0.0	11265	1951	0.0	13382	1919	0.0	14584	2248	0.0	12497	1940	0.0	11050	1812	0.0	11595	2195	0.0	10435	1513	0.0	13386	2002	0.0	12710	1843	0.0	12966	2685	0.0	12293	1990	0.0	11737	2320	0.0	11833	1949	0.0	13888	1749	0.0	14383	1867	0.0	15101	2180	0.0	14753	2077	0.0	15142	2716	0.0	12116	1615	0.0	14350	2023	0.0	13736	1516	0.0	13464	2224	0.0	13625	1834	0.0	12797	2191	0.0	11387	1625	0.0	11358	1754	0.0	12603	1688	0.0	12034	1895	0.0	11303	1471	0.0	12321	1754	0.0	10642	1159	0.0	13151	2275	0.0	12442	1438	0.0	12461	2252	0.0	10166	1246	0.0	9826	1933	0.0
+22	cg03344490	5240	921	0.0	5087	756	0.0	5158	1046	0.0	4310	984	0.0	9042	2151	0.0	10801	2513	0.0	2462	438	0.0	2397	489	0.0	982	797	0.0	2789	507	0.0	5502	1726	0.0	10084	2630	0.0	14026	2074	0.0	12837	1722	0.0	15945	1973	0.0	14438	2164	0.0	5747	2878	0.0	15789	2489	0.0	13138	1691	0.0	12576	2283	0.0	14054	1932	0.0	13632	2190	0.0	15373	3235	0.0	16108	3137	0.0	11742	1358	0.0	10886	1922	0.0	11640	1903	0.0	11810	1736	0.0	12914	1811	0.0	13482	1667	0.0	10520	1637	0.0	11877	1637	0.0	11239	1735	0.0	12422	1797	0.0	12308	1840	0.0	5231	2634	0.0	13860	1753	0.0	14348	1828	0.0	15332	2019	0.0	12649	1855	0.0	12688	2264	0.0	13229	2527	0.0	13754	1524	0.0	13303	1888	0.0	13912	2075	0.0	14804	2888	0.0	12574	2346	0.0	13707	2694	0.0	12199	1792	0.0	13471	1996	0.0	13437	1931	0.0	14277	2273	0.0	13326	2318	0.0	15791	2115	0.0	11784	1656	0.0	13609	1783	0.0	12340	1540	0.0	13126	1937	0.0	13070	1932	0.0	13720	2681	0.0	15214	1431	0.0	11780	1868	0.0	13404	1919	0.0	12738	2286	0.0	12746	1566	0.0	14048	1787	0.0	13327	1157	0.0	14401	1694	0.0	13121	1536	0.0	13442	2216	0.0	11951	1704	0.0	12786	2518	0.0
+23	cg17501828	4737	1537	0.0	4470	1582	0.0	4467	1866	0.0	4422	1967	0.0	8608	4380	0.0	9893	5523	0.0	2262	978	0.0	2265	1018	0.0	1224	1239	0.0	2786	1451	0.0	5630	3436	0.0	9525	5004	0.0	12946	4141	0.0	12744	3912	0.0	14861	4245	0.0	13934	4357	0.0	7475	6500	0.0	14945	4380	0.0	11407	3099	0.0	11330	4275	0.0	13333	4599	0.0	13671	4536	0.0	13698	5537	0.0	13797	5451	0.0	10508	3003	0.0	11118	3680	0.0	10902	4005	0.0	11934	3842	0.0	12270	3905	0.0	13217	3338	0.0	9919	3180	0.0	11597	3776	0.0	11829	3738	0.0	13052	3932	0.0	14286	5116	0.0	7638	6325	0.0	12011	3535	0.0	12989	3964	0.0	12427	3969	0.0	12400	3993	0.0	11960	4495	0.0	12137	4672	0.0	10659	2986	0.0	12244	3574	0.0	12635	4541	0.0	13121	5368	0.0	12095	4979	0.0	12026	5314	0.0	10718	3785	0.0	12024	4250	0.0	12514	4340	0.0	13259	4564	0.0	12836	4594	0.0	14541	4989	0.0	10840	3275	0.0	12794	3565	0.0	12102	4033	0.0	12491	4308	0.0	12878	4702	0.0	12607	5169	0.0	12312	3327	0.0	10786	4340	0.0	12468	3989	0.0	12477	4928	0.0	12070	3988	0.0	13073	4169	0.0	11943	2715	0.0	12535	3481	0.0	11819	3412	0.0	11486	4422	0.0	11243	3671	0.0	12159	4943	0.0
+24	cg23917638	5714	2101	0.0	5726	1954	0.0	5317	3537	0.0	5204	2049	0.0	10630	4823	0.0	12191	8159	0.0	2404	1323	0.0	2626	1516	0.0	2965	1875	0.0	3231	518	0.0	7109	4778	0.0	11015	6846	0.0	12426	6085	0.0	12946	3822	0.0	14699	3643	0.0	13297	8333	0.0	14088	6839	0.0	13915	7656	0.0	11327	5836	0.0	10730	7567	0.0	12334	5487	0.0	12935	6159	0.0	13087	7948	0.0	14279	9099	0.0	10879	4412	0.0	10571	6625	0.0	11751	6733	0.0	12191	6671	0.0	12485	6477	0.0	13799	2037	0.0	10360	6316	0.0	12310	4801	0.0	11024	5867	0.0	12639	6533	0.0	14651	7527	0.0	13225	6998	0.0	10998	7496	0.0	11094	6436	0.0	10593	6776	0.0	11613	5457	0.0	10815	7570	0.0	10274	6242	0.0	9623	5709	0.0	9632	4917	0.0	10259	7085	0.0	11313	8935	0.0	10431	5789	0.0	10567	6973	0.0	10286	6879	0.0	11387	4797	0.0	12419	6607	0.0	9139	6414	0.0	11552	7579	0.0	10977	7101	0.0	9547	5694	0.0	10961	6178	0.0	11404	5243	0.0	10694	5434	0.0	11042	5642	0.0	10669	9786	0.0	10354	5369	0.0	10308	6264	0.0	11728	7151	0.0	10414	8077	0.0	11621	4800	0.0	11358	6179	0.0	9299	3969	0.0	10078	5983	0.0	10714	5163	0.0	10324	8457	0.0	10479	5447	0.0	9256	8622	0.0
+25	cg18024856	4463	202	0.0	4418	165	0.0	6307	276	0.0	5450	227	0.0	9397	289	0.0	11222	414	0.0	2658	200	0.0	2761	157	0.0	2128	156	0.0	3056	179	0.0	7039	275	0.0	8493	380	0.0	15028	734	0.0	13314	568	0.0	15464	403	0.0	16982	729	0.0	14328	660	0.0	17710	815	0.0	15842	575	0.0	15509	1059	0.0	16098	486	0.0	14151	835	0.0	17003	1210	0.0	17547	1023	0.0	14981	441	0.0	14331	529	0.0	12349	641	0.0	14519	449	0.0	14517	426	0.0	14315	447	0.0	12731	749	0.0	13718	510	0.0	13775	485	0.0	13937	549	0.0	15694	657	0.0	18227	450	0.0	15149	845	0.0	16232	1036	0.0	15219	760	0.0	13709	778	0.0	11990	706	0.0	14214	764	0.0	13901	586	0.0	15498	981	0.0	13814	722	0.0	14306	791	0.0	13072	758	0.0	15327	607	0.0	14005	636	0.0	14571	422	0.0	13558	418	0.0	14541	574	0.0	15225	576	0.0	18135	657	0.0	13374	480	0.0	15138	531	0.0	11812	404	0.0	15317	486	0.0	14923	661	0.0	14824	820	0.0	13935	848	0.0	12475	928	0.0	14550	738	0.0	13631	836	0.0	14198	638	0.0	16269	736	0.0	13255	494	0.0	16610	606	0.0	12495	600	0.0	14927	824	0.0	12457	588	0.0	12597	837	0.0
+26	cg18761878	3545	3130	0.0	2929	2610	0.0	2711	3361	0.0	2336	3279	0.0	5594	7158	0.0	5709	8751	0.0	1451	1283	0.0	1442	1700	0.0	1569	1837	0.0	1675	1819	0.0	3519	5791	0.0	6257	8815	0.0	9762	6412	0.0	8780	4222	0.0	10855	5785	0.0	9752	8339	0.0	10373	8086	0.0	10025	8457	0.0	8495	6077	0.0	7922	7107	0.0	8649	6410	0.0	8962	8395	0.0	9866	8244	0.0	10383	8707	0.0	6535	5036	0.0	7151	6661	0.0	7318	6967	0.0	7092	6424	0.0	8661	7586	0.0	8258	5455	0.0	6015	5164	0.0	7282	5778	0.0	6992	6346	0.0	7445	6099	0.0	9162	7875	0.0	10561	8255	0.0	9004	6684	0.0	9547	6335	0.0	8949	6694	0.0	8685	6378	0.0	8524	7339	0.0	8091	7384	0.0	7895	5689	0.0	7964	5869	0.0	8657	6994	0.0	9648	7823	0.0	8951	6772	0.0	9642	7600	0.0	7800	5817	0.0	8206	5788	0.0	9119	6893	0.0	8538	7457	0.0	9106	7364	0.0	10166	7866	0.0	7630	5316	0.0	7653	6304	0.0	7983	6186	0.0	7943	6558	0.0	8291	6821	0.0	9763	8677	0.0	8793	5588	0.0	8264	6273	0.0	8761	6639	0.0	8742	7852	0.0	8568	6731	0.0	9654	6738	0.0	8497	5416	0.0	8736	5976	0.0	8618	6708	0.0	7544	7152	0.0	8374	5924	0.0	9891	7909	0.0
+27	cg27534567	2022	220	0.0	2347	254	0.0	3186	543	0.0	2874	446	0.0	4629	852	0.0	5490	1007	0.0	1316	216	0.0	1417	314	0.0	1167	258	0.0	1519	212	0.0	3708	773	0.0	5160	1185	0.0	8012	1137	0.0	7654	742	0.0	8250	666	0.0	8664	2123	0.0	9032	1421	0.0	9616	2031	0.0	7008	1498	0.0	7631	2138	0.0	8579	1032	0.0	7808	1041	0.0	9343	2267	0.0	9416	2240	0.0	6799	804	0.0	7289	963	0.0	7378	701	0.0	8133	1196	0.0	7892	1182	0.0	8007	761	0.0	6319	1254	0.0	7764	877	0.0	6536	820	0.0	8067	780	0.0	8392	2243	0.0	8677	753	0.0	5663	1242	0.0	6425	1541	0.0	6790	1598	0.0	6523	1258	0.0	5806	1809	0.0	5387	1412	0.0	4854	734	0.0	5800	1810	0.0	6010	1424	0.0	6656	1629	0.0	5961	1404	0.0	5392	1037	0.0	6855	947	0.0	7209	1701	0.0	7015	716	0.0	7180	679	0.0	7721	856	0.0	7881	1491	0.0	5804	551	0.0	7201	949	0.0	6680	814	0.0	6868	1180	0.0	6314	1465	0.0	6691	1843	0.0	5480	547	0.0	5404	1405	0.0	6615	1183	0.0	6189	1724	0.0	5890	1285	0.0	6007	1330	0.0	5209	509	0.0	6613	1077	0.0	5898	1261	0.0	5962	1852	0.0	5707	579	0.0	4519	952	0.0
+28	cg08858441	2421	3337	0.0	2456	3397	0.0	1769	3122	0.0	2234	3141	0.0	4221	5695	0.0	4563	8659	0.0	958	1338	0.0	1089	1262	0.0	1147	1416	0.0	1408	241	0.0	3033	4738	0.0	4227	7685	0.0	6444	6799	0.0	5502	5104	0.0	7542	5819	0.0	5645	7772	0.0	6330	7720	0.0	6484	7800	0.0	5303	5454	0.0	4781	5572	0.0	6290	6802	0.0	6484	7280	0.0	5632	8436	0.0	5934	8062	0.0	4299	4555	0.0	3396	5165	0.0	5179	4730	0.0	4933	5888	0.0	5481	7022	0.0	5638	777	0.0	3525	3972	0.0	4027	4451	0.0	4468	6396	0.0	5143	4200	0.0	4977	6343	0.0	5847	6876	0.0	5033	5202	0.0	5733	6532	0.0	4897	4955	0.0	5187	934	0.0	5676	7824	0.0	4530	6749	0.0	4294	5705	0.0	4942	840	0.0	5513	7105	0.0	6012	7908	0.0	5427	6682	0.0	4544	1157	0.0	5015	5061	0.0	4857	5667	0.0	5358	6983	0.0	5261	6716	0.0	6347	8312	0.0	5402	7499	0.0	4115	5035	0.0	4576	5814	0.0	4830	6150	0.0	4785	6830	0.0	5292	7041	0.0	5464	8160	0.0	4976	5423	0.0	6161	6659	0.0	5016	6888	0.0	5245	5292	0.0	5719	6451	0.0	6007	7071	0.0	4676	4733	0.0	5165	6090	0.0	4969	6506	0.0	4666	6671	0.0	5277	6755	0.0	5444	7548	0.0
+29	cg03348902	3668	1306	0.0	3112	1331	0.0	3134	1412	0.0	3809	1512	0.0	7675	3393	0.0	7719	3900	0.0	1683	575	0.0	1712	629	0.0	1996	775	0.0	2018	776	0.0	5003	2971	0.0	8085	4289	0.0	11465	3085	0.0	12451	2488	0.0	13764	3582	0.0	11743	3579	0.0	13068	3478	0.0	13132	3827	0.0	10459	2582	0.0	10920	3001	0.0	10900	3265	0.0	11224	3594	0.0	12507	4127	0.0	12977	4114	0.0	8716	2316	0.0	9233	2594	0.0	10049	3035	0.0	9936	2865	0.0	10985	2901	0.0	11855	2924	0.0	8597	2104	0.0	10392	2495	0.0	9097	2547	0.0	10623	2888	0.0	11348	3014	0.0	13515	3899	0.0	10885	2881	0.0	11481	3052	0.0	11668	3513	0.0	11028	3203	0.0	10993	3988	0.0	11538	3902	0.0	10679	2643	0.0	10326	2800	0.0	11229	3381	0.0	11090	3861	0.0	11096	3457	0.0	11020	4271	0.0	9074	2509	0.0	10286	2753	0.0	11249	3326	0.0	11569	3779	0.0	11530	3485	0.0	12455	3664	0.0	8892	2289	0.0	10239	2649	0.0	10424	3047	0.0	9903	2969	0.0	10761	3278	0.0	11249	3875	0.0	10145	2328	0.0	10426	3030	0.0	11051	3057	0.0	10744	3711	0.0	11034	2910	0.0	12716	3013	0.0	10184	2362	0.0	10401	2964	0.0	10439	2665	0.0	9681	3105	0.0	10845	2921	0.0	11117	3892	0.0
+30	cg01070250	7160	1511	0.0	6858	1809	0.0	6213	1353	0.0	7200	1833	0.0	13673	4142	0.0	15045	4540	0.0	3701	659	0.0	3794	643	0.0	3951	846	0.0	4769	820	0.0	9003	3023	0.0	13510	4044	0.0	19872	2652	0.0	20254	4111	0.0	21770	4029	0.0	20883	3128	0.0	21789	3182	0.0	22493	3604	0.0	17561	2683	0.0	18601	3039	0.0	19401	3362	0.0	19564	2974	0.0	20552	3355	0.0	21047	4328	0.0	16042	2272	0.0	16890	2470	0.0	17250	2545	0.0	18287	2401	0.0	18222	2562	0.0	19329	2472	0.0	15732	2132	0.0	17431	2246	0.0	18403	2481	0.0	18533	3043	0.0	20732	2865	0.0	21567	3722	0.0	19081	2700	0.0	19900	2945	0.0	20291	2882	0.0	19107	2860	0.0	18447	3308	0.0	18165	3497	0.0	16305	2499	0.0	17362	2589	0.0	18854	2663	0.0	20111	3872	0.0	19923	2801	0.0	18937	3434	0.0	15977	2602	0.0	17794	2619	0.0	20182	2811	0.0	19658	3088	0.0	20311	3142	0.0	21593	3281	0.0	14664	2015	0.0	18359	2179	0.0	18253	2642	0.0	17804	3126	0.0	18666	2445	0.0	21191	3289	0.0	17610	2182	0.0	17163	2267	0.0	19280	2477	0.0	18869	2799	0.0	19247	2205	0.0	20888	2728	0.0	17749	1796	0.0	18645	3135	0.0	18281	2441	0.0	17286	2667	0.0	18212	2700	0.0	18554	3080	0.0
+31	cg21996134	326	3661	0.0	234	3432	0.0	235	4353	0.0	272	3801	0.0	433	6278	0.0	641	9300	0.0	222	2291	0.0	162	2327	0.0	205	2371	0.0	251	2258	0.0	454	5010	0.0	612	7984	0.0	951	17045	0.0	875	13651	0.0	1109	13548	0.0	1174	17270	0.0	1100	16505	0.0	1079	18258	0.0	702	14347	0.0	742	16542	0.0	1225	16556	0.0	750	16107	0.0	984	18945	0.0	1221	19731	0.0	438	13968	0.0	1018	14428	0.0	984	14039	0.0	938	15115	0.0	611	14321	0.0	601	16115	0.0	803	12940	0.0	516	15672	0.0	846	14276	0.0	1099	14168	0.0	933	15706	0.0	933	16624	0.0	801	15086	0.0	1147	16461	0.0	842	16486	0.0	738	14696	0.0	733	13593	0.0	859	13634	0.0	593	13591	0.0	711	15360	0.0	1071	15547	0.0	898	15078	0.0	950	14603	0.0	635	14055	0.0	858	14044	0.0	794	14720	0.0	972	16101	0.0	935	16231	0.0	971	15452	0.0	791	14879	0.0	462	13541	0.0	667	14127	0.0	516	13985	0.0	686	15224	0.0	670	15808	0.0	653	15700	0.0	687	14008	0.0	810	15303	0.0	871	16210	0.0	595	16652	0.0	571	14985	0.0	784	17502	0.0	768	13310	0.0	756	14482	0.0	559	13733	0.0	618	14653	0.0	797	14368	0.0	897	14768	0.0
+32	cg07264491	564	2074	0.0	591	2219	0.0	511	2572	0.0	625	2692	0.0	1114	4888	0.0	1123	5904	0.0	370	1182	0.0	289	1327	0.0	268	1102	0.0	351	1562	0.0	877	4297	0.0	1208	6967	0.0	2255	6065	0.0	1988	5713	0.0	2124	4994	0.0	2374	6508	0.0	2467	6646	0.0	2397	6919	0.0	2360	5087	0.0	2087	5338	0.0	2068	6122	0.0	2202	7069	0.0	2722	7871	0.0	2873	8340	0.0	1784	5001	0.0	1728	5169	0.0	2073	5498	0.0	1765	5503	0.0	2358	5872	0.0	2027	6610	0.0	1535	4675	0.0	1934	4556	0.0	1655	5634	0.0	1943	5531	0.0	1878	5731	0.0	2346	6276	0.0	2286	4481	0.0	2493	5113	0.0	2216	5640	0.0	1968	6053	0.0	2375	6104	0.0	2160	7513	0.0	1813	4642	0.0	2204	5474	0.0	2395	6000	0.0	2116	6480	0.0	2125	6482	0.0	2222	7339	0.0	1920	4990	0.0	2052	5427	0.0	2091	5888	0.0	2225	5808	0.0	1916	6333	0.0	2015	6921	0.0	1603	4465	0.0	2038	5341	0.0	1845	5460	0.0	1923	6617	0.0	1973	6283	0.0	2117	6585	0.0	1712	4726	0.0	1995	4885	0.0	2374	5452	0.0	2149	5846	0.0	1862	5534	0.0	2197	6321	0.0	2035	4792	0.0	2075	5479	0.0	2051	5446	0.0	2171	5778	0.0	2051	5925	0.0	2499	6268	0.0
+33	cg15560884	787	2386	0.0	545	2334	0.0	985	3661	0.0	1118	3716	0.0	2154	6553	0.0	2855	9771	0.0	629	1748	0.0	635	1569	0.0	744	1752	0.0	852	2530	0.0	1644	6030	0.0	2075	7903	0.0	3619	8017	0.0	3843	6673	0.0	2363	5542	0.0	3904	8841	0.0	3449	8211	0.0	5114	9059	0.0	3000	6602	0.0	3815	7538	0.0	3397	8779	0.0	3967	8662	0.0	4770	10124	0.0	5470	10320	0.0	2973	6923	0.0	3005	7758	0.0	3097	7762	0.0	3842	8335	0.0	3583	8751	0.0	3569	8179	0.0	3510	5948	0.0	3948	7346	0.0	3506	7662	0.0	3676	7082	0.0	4141	8832	0.0	3958	8609	0.0	2722	5564	0.0	3562	7454	0.0	3875	7802	0.0	2548	7122	0.0	2999	7705	0.0	3567	8507	0.0	2926	5888	0.0	3474	7472	0.0	3002	7271	0.0	2832	7072	0.0	3494	7758	0.0	3295	9344	0.0	3350	6510	0.0	3554	7540	0.0	2649	7015	0.0	3537	7423	0.0	2326	7711	0.0	2825	8403	0.0	2915	5908	0.0	2648	6259	0.0	2324	6970	0.0	3649	8134	0.0	3149	8836	0.0	3101	8634	0.0	2348	6096	0.0	3800	6596	0.0	3350	7282	0.0	3233	8175	0.0	2575	7187	0.0	2916	8132	0.0	2256	4982	0.0	2725	6524	0.0	2453	6276	0.0	3357	7826	0.0	2094	6380	0.0	3006	7328	0.0
+34	cg10037654	3352	347	0.0	2963	355	0.0	3023	479	0.0	2912	392	0.0	5206	910	0.0	7561	1532	0.0	1335	201	0.0	1479	221	0.0	1779	318	0.0	1964	1250	0.0	3949	883	0.0	5556	1062	0.0	9155	898	0.0	8743	869	0.0	9150	842	0.0	10044	1027	0.0	9843	668	0.0	9951	1019	0.0	7957	634	0.0	8693	846	0.0	9836	854	0.0	9878	1225	0.0	10424	1118	0.0	10135	1155	0.0	7640	858	0.0	8753	807	0.0	8575	775	0.0	8266	762	0.0	9249	723	0.0	9078	979	0.0	7543	550	0.0	9097	768	0.0	8596	760	0.0	9282	941	0.0	9196	960	0.0	10032	1050	0.0	8288	765	0.0	8940	772	0.0	8891	833	0.0	9316	891	0.0	8739	1074	0.0	8389	1277	0.0	7610	720	0.0	8431	860	0.0	9210	1097	0.0	9185	998	0.0	8980	1042	0.0	7764	1272	0.0	8298	674	0.0	8874	868	0.0	9243	869	0.0	9864	969	0.0	9182	816	0.0	9684	1031	0.0	7264	514	0.0	8260	648	0.0	8158	707	0.0	8909	1059	0.0	8841	1178	0.0	8249	968	0.0	8942	628	0.0	8217	652	0.0	9001	764	0.0	9478	891	0.0	8024	772	0.0	8852	864	0.0	7451	560	0.0	9137	813	0.0	8787	796	0.0	7673	783	0.0	8187	861	0.0	8615	852	0.0
+35	cg14057946	2421	838	0.0	2137	696	0.0	2521	686	0.0	2522	591	0.0	5000	1201	0.0	6131	1592	0.0	1367	382	0.0	1347	284	0.0	1565	447	0.0	1655	1266	0.0	3519	1134	0.0	5824	1657	0.0	9430	1203	0.0	9006	1276	0.0	9705	1327	0.0	9307	1760	0.0	9997	1577	0.0	9857	1685	0.0	8052	1195	0.0	8990	1419	0.0	9040	1591	0.0	9243	1606	0.0	9882	1708	0.0	9961	1470	0.0	7481	1090	0.0	8222	1363	0.0	8126	1217	0.0	8328	1242	0.0	9106	1404	0.0	9209	1588	0.0	7026	848	0.0	8411	1122	0.0	8355	1064	0.0	8336	1275	0.0	9677	1299	0.0	9442	1340	0.0	8892	1223	0.0	9538	1348	0.0	9735	1388	0.0	8883	1619	0.0	9404	1293	0.0	8084	1672	0.0	7932	1109	0.0	8793	1353	0.0	9122	1427	0.0	9318	1385	0.0	8928	1497	0.0	8623	1764	0.0	7452	1068	0.0	8128	1362	0.0	9221	1272	0.0	9803	1455	0.0	9299	1734	0.0	9690	1420	0.0	7308	908	0.0	8364	1204	0.0	8663	1278	0.0	8435	1334	0.0	9343	1253	0.0	8932	1298	0.0	8577	877	0.0	8694	1083	0.0	9541	1074	0.0	9076	1182	0.0	8830	1244	0.0	9951	1269	0.0	7950	936	0.0	9249	1175	0.0	8299	1170	0.0	8031	1242	0.0	8076	1162	0.0	9249	1379	0.0
+36	cg11422233	2448	1076	0.0	2497	790	0.0	2901	761	0.0	2943	695	0.0	5193	1157	0.0	5472	1620	0.0	1314	300	0.0	1323	280	0.0	1521	346	0.0	1571	2450	0.0	3906	1061	0.0	5722	1917	0.0	10040	1518	0.0	9205	1243	0.0	9781	1369	0.0	9818	2320	0.0	9406	1481	0.0	10222	2184	0.0	8165	1133	0.0	9055	1309	0.0	9815	1437	0.0	9342	1485	0.0	10059	1755	0.0	10722	1974	0.0	7813	1063	0.0	8277	1255	0.0	8238	1166	0.0	9204	1186	0.0	8908	1130	0.0	9619	1389	0.0	7304	971	0.0	8579	1071	0.0	8458	1195	0.0	9672	1412	0.0	9169	1178	0.0	9740	1378	0.0	8996	1538	0.0	9584	1376	0.0	9955	1311	0.0	9607	1656	0.0	9725	1437	0.0	8511	2285	0.0	8995	1227	0.0	8954	1282	0.0	9387	1320	0.0	10523	1484	0.0	9545	1683	0.0	8751	2177	0.0	8071	1112	0.0	8764	1311	0.0	9586	1419	0.0	10095	1411	0.0	10085	1323	0.0	9178	1827	0.0	7762	973	0.0	8717	1158	0.0	8856	1220	0.0	8956	1413	0.0	9579	1494	0.0	9075	1412	0.0	9567	894	0.0	8887	982	0.0	9080	1165	0.0	8940	1144	0.0	8662	1109	0.0	9890	1354	0.0	8313	1051	0.0	9168	1483	0.0	9037	1569	0.0	8663	1343	0.0	8229	1116	0.0	9620	1299	0.0
+37	cg16047670	3385	184	0.0	3303	180	0.0	3746	153	0.0	3903	210	0.0	6743	480	0.0	8911	382	0.0	1495	358	0.0	1531	122	0.0	1662	209	0.0	1709	1587	0.0	6238	262	0.0	9259	368	0.0	6924	377	0.0	7097	306	0.0	8603	530	0.0	8442	700	0.0	8211	331	0.0	8799	514	0.0	6099	429	0.0	7196	463	0.0	7851	456	0.0	8174	849	0.0	9552	939	0.0	9307	647	0.0	6374	364	0.0	6879	566	0.0	7299	606	0.0	7364	455	0.0	7880	320	0.0	8883	303	0.0	5376	236	0.0	6413	575	0.0	6945	307	0.0	7429	462	0.0	7581	353	0.0	8222	777	0.0	6481	491	0.0	7396	459	0.0	7540	375	0.0	7930	730	0.0	8363	516	0.0	7760	673	0.0	6776	389	0.0	7129	471	0.0	7571	469	0.0	8499	456	0.0	8638	505	0.0	9930	793	0.0	5847	192	0.0	6753	359	0.0	7256	596	0.0	8147	517	0.0	8891	532	0.0	8566	626	0.0	5770	279	0.0	6047	369	0.0	7908	469	0.0	8207	536	0.0	8518	372	0.0	8656	382	0.0	5846	330	0.0	6857	361	0.0	7090	310	0.0	7183	356	0.0	7129	560	0.0	8285	400	0.0	5782	461	0.0	6821	442	0.0	7360	413	0.0	7431	440	0.0	7202	491	0.0	8058	642	0.0
+38	cg18263059	5252	210	0.0	5187	213	0.0	6173	363	0.0	5888	344	0.0	10071	645	0.0	13414	412	0.0	2670	123	0.0	2719	197	0.0	2780	110	0.0	2782	1570	0.0	7134	314	0.0	10396	442	0.0	14442	691	0.0	14234	449	0.0	16138	977	0.0	16091	1372	0.0	15528	801	0.0	16765	1025	0.0	13915	1193	0.0	15195	1042	0.0	15500	653	0.0	14562	1242	0.0	15899	1519	0.0	17741	954	0.0	12552	620	0.0	13644	1266	0.0	13991	1308	0.0	14543	859	0.0	14538	767	0.0	15747	395	0.0	12554	392	0.0	13883	1146	0.0	13483	268	0.0	13764	878	0.0	14475	513	0.0	16126	1457	0.0	15465	917	0.0	16046	757	0.0	16196	635	0.0	14336	1491	0.0	14571	478	0.0	13440	730	0.0	14144	624	0.0	14590	862	0.0	15564	691	0.0	16118	733	0.0	15107	877	0.0	15094	748	0.0	12946	320	0.0	14224	596	0.0	15274	1095	0.0	16413	1063	0.0	16131	844	0.0	14809	854	0.0	12360	398	0.0	14243	523	0.0	14454	649	0.0	13670	800	0.0	15053	309	0.0	14702	410	0.0	13997	333	0.0	14017	489	0.0	15246	445	0.0	15036	634	0.0	12796	790	0.0	16442	493	0.0	12586	910	0.0	14856	753	0.0	13759	647	0.0	14098	495	0.0	13366	770	0.0	14906	960	0.0
+39	cg01014490	3956	291	0.0	3978	260	0.0	4266	203	0.0	4727	147	0.0	7845	278	0.0	10024	335	0.0	1951	171	0.0	2251	145	0.0	2202	140	0.0	2040	2974	0.0	5666	183	0.0	8403	377	0.0	13697	408	0.0	13552	390	0.0	14889	563	0.0	14313	798	0.0	14684	784	0.0	14847	1035	0.0	11523	468	0.0	12954	486	0.0	13473	551	0.0	13336	450	0.0	14369	625	0.0	14626	558	0.0	11447	332	0.0	11862	449	0.0	12986	389	0.0	12185	395	0.0	12948	561	0.0	14602	457	0.0	10884	355	0.0	12110	317	0.0	11605	455	0.0	13619	486	0.0	13449	414	0.0	14344	498	0.0	12658	565	0.0	12988	694	0.0	13744	596	0.0	12845	526	0.0	13372	501	0.0	12212	671	0.0	12005	501	0.0	12653	601	0.0	13275	705	0.0	13345	655	0.0	12861	575	0.0	13634	568	0.0	10829	508	0.0	12208	523	0.0	13566	523	0.0	14621	566	0.0	14022	492	0.0	13333	638	0.0	10635	343	0.0	12838	458	0.0	11048	540	0.0	12159	359	0.0	13339	448	0.0	12449	434	0.0	11390	361	0.0	12041	534	0.0	13147	469	0.0	13201	377	0.0	11503	378	0.0	14979	460	0.0	11236	415	0.0	13247	554	0.0	12222	511	0.0	11770	455	0.0	12126	556	0.0	13183	702	0.0
+40	cg04231937	2490	581	0.0	3054	278	0.0	3173	266	0.0	3553	259	0.0	6905	273	0.0	8625	339	0.0	1487	177	0.0	1549	150	0.0	1584	119	0.0	1998	678	0.0	5440	348	0.0	8063	659	0.0	6900	329	0.0	7613	304	0.0	8304	311	0.0	7856	1156	0.0	7744	359	0.0	8889	949	0.0	5636	282	0.0	7063	425	0.0	7978	375	0.0	8393	333	0.0	8933	523	0.0	8884	584	0.0	6045	281	0.0	6243	328	0.0	6959	327	0.0	6648	256	0.0	7377	250	0.0	7502	295	0.0	5458	422	0.0	6169	346	0.0	6875	277	0.0	6349	520	0.0	7111	286	0.0	7940	294	0.0	6260	682	0.0	6693	375	0.0	7444	458	0.0	7353	537	0.0	8038	510	0.0	8441	1308	0.0	6118	378	0.0	6749	445	0.0	7403	468	0.0	8259	494	0.0	8274	509	0.0	9155	885	0.0	5741	487	0.0	6746	504	0.0	7042	673	0.0	7962	358	0.0	8028	480	0.0	8421	797	0.0	5143	307	0.0	5915	372	0.0	7261	404	0.0	7346	396	0.0	7959	365	0.0	8108	473	0.0	5701	279	0.0	6544	359	0.0	7022	430	0.0	7005	331	0.0	7206	414	0.0	7731	358	0.0	5725	239	0.0	6571	513	0.0	6872	516	0.0	6758	399	0.0	7018	406	0.0	7961	408	0.0
+41	cg04496485	1753	1000	0.0	1604	472	0.0	1949	639	0.0	1895	425	0.0	3743	642	0.0	4751	1275	0.0	857	190	0.0	922	180	0.0	903	291	0.0	977	1598	0.0	2597	705	0.0	3599	1110	0.0	6875	737	0.0	6389	728	0.0	7435	842	0.0	7709	1714	0.0	7554	838	0.0	7095	1411	0.0	6137	606	0.0	6645	870	0.0	7192	814	0.0	6975	899	0.0	6584	978	0.0	7599	1245	0.0	5239	570	0.0	6214	749	0.0	6028	742	0.0	6017	710	0.0	6316	631	0.0	6768	919	0.0	4764	563	0.0	6089	611	0.0	6108	608	0.0	6599	1114	0.0	6462	657	0.0	7031	745	0.0	6965	905	0.0	6925	852	0.0	7209	772	0.0	6662	943	0.0	6735	1001	0.0	6338	1571	0.0	6060	626	0.0	6687	735	0.0	6704	767	0.0	7597	956	0.0	6787	965	0.0	6811	1486	0.0	5691	763	0.0	6525	925	0.0	6711	979	0.0	7542	707	0.0	7428	985	0.0	6810	1182	0.0	5589	610	0.0	6135	691	0.0	6241	792	0.0	6111	775	0.0	7485	848	0.0	6512	823	0.0	6592	639	0.0	6157	615	0.0	6848	855	0.0	6494	655	0.0	6141	708	0.0	7394	810	0.0	5935	613	0.0	6466	757	0.0	6574	996	0.0	6038	796	0.0	6081	740	0.0	6323	811	0.0
+42	cg17505339	170	414	0.0	152	314	0.0	197	1190	0.0	180	766	0.0	299	1871	0.0	304	2986	0.0	183	760	0.0	183	656	0.0	150	570	0.0	219	857	0.0	215	1001	0.0	285	2328	0.0	472	3367	0.0	454	1717	0.0	489	1773	0.0	551	3881	0.0	579	3263	0.0	767	3911	0.0	391	2858	0.0	563	3914	0.0	485	4226	0.0	499	3958	0.0	626	4620	0.0	640	5139	0.0	457	3113	0.0	606	3712	0.0	464	3286	0.0	499	4023	0.0	493	3274	0.0	394	2610	0.0	391	3150	0.0	469	3235	0.0	454	3491	0.0	362	3402	0.0	543	4491	0.0	519	3477	0.0	656	3029	0.0	863	3888	0.0	681	3375	0.0	581	3435	0.0	763	3272	0.0	676	4161	0.0	538	2176	0.0	776	3917	0.0	710	3504	0.0	516	3220	0.0	644	3714	0.0	701	4309	0.0	462	3327	0.0	480	3456	0.0	465	3047	0.0	509	2976	0.0	500	3597	0.0	529	3550	0.0	328	2630	0.0	402	2053	0.0	445	2577	0.0	442	3689	0.0	453	4370	0.0	465	4171	0.0	494	2374	0.0	489	3086	0.0	614	3437	0.0	593	3781	0.0	514	2849	0.0	754	4201	0.0	423	2104	0.0	529	2916	0.0	562	2594	0.0	602	3954	0.0	499	2577	0.0	518	3408	0.0
+43	cg09989996	315	610	0.0	187	446	0.0	325	1519	0.0	236	902	0.0	433	1514	0.0	470	2173	0.0	182	812	0.0	141	739	0.0	252	491	0.0	215	691	0.0	431	1581	0.0	463	2078	0.0	1044	4998	0.0	520	4614	0.0	612	2502	0.0	871	6160	0.0	849	4561	0.0	1120	5090	0.0	649	4238	0.0	800	5249	0.0	1300	5308	0.0	949	4474	0.0	751	6129	0.0	972	5698	0.0	530	3437	0.0	796	4066	0.0	946	3463	0.0	917	4128	0.0	743	5061	0.0	745	3972	0.0	1120	3743	0.0	1243	4994	0.0	754	4344	0.0	677	4026	0.0	1094	7215	0.0	942	4414	0.0	1160	4707	0.0	1318	5347	0.0	1143	6012	0.0	881	4501	0.0	1034	5528	0.0	985	4554	0.0	665	3312	0.0	1018	5719	0.0	998	5517	0.0	897	4633	0.0	1014	6514	0.0	754	4407	0.0	832	4620	0.0	987	4271	0.0	971	4281	0.0	1113	3897	0.0	953	4686	0.0	876	4232	0.0	922	4276	0.0	816	5174	0.0	765	4448	0.0	687	4334	0.0	1219	5991	0.0	843	5403	0.0	902	4606	0.0	1044	4217	0.0	757	5181	0.0	813	5776	0.0	787	3316	0.0	999	5551	0.0	807	3524	0.0	984	4336	0.0	801	2854	0.0	1080	5721	0.0	788	3436	0.0	945	4268	0.0
+44	cg11954957	176	163	0.0283333333333333	146	148	0.11333333333333301	195	414	0.0	184	246	0.0	326	489	0.0	420	798	0.0	104	203	0.0033333333333333	187	224	0.00166666666666671	122	116	0.4	185	279	0.00166666666666671	338	425	0.0	296	526	0.00166666666666671	425	770	0.0	446	403	0.005	543	496	0.0	590	886	0.0	488	813	0.0	608	888	0.0	371	768	0.0	435	955	0.0	590	892	0.0	622	906	0.0	597	1040	0.0	602	996	0.0	419	773	0.0	448	622	0.0	423	693	0.0	449	933	0.0	403	768	0.0	553	658	0.0	382	594	0.0	410	784	0.0	256	731	0.0	418	589	0.0	588	787	0.0	432	564	0.00166666666666671	720	749	0.0	801	980	0.0	687	798	0.0	696	875	0.0	702	863	0.0	795	1183	0.0	431	570	0.0	712	844	0.0	768	819	0.0	562	865	0.0	782	989	0.0	688	1080	0.0	505	945	0.0	621	732	0.0	665	631	0.0	573	555	0.0	720	793	0.0	532	780	0.0	490	583	0.0	537	481	0.0	550	553	0.0	445	792	0.0	740	1093	0.0	506	815	0.0	532	506	0.0	638	725	0.0	633	764	0.0	605	824	0.0	545	752	0.0	752	940	0.0	545	546	0.0	511	663	0.0	487	587	0.0	543	822	0.0	576	710	0.0	580	852	0.0
+45	cg01068023	302	1515	0.0	243	1882	0.0	577	3849	0.0	470	2932	0.0	977	5920	0.0	1300	8160	0.0	348	1511	0.0	328	1472	0.0	253	1100	0.0	467	2405	0.0	699	4894	0.0	1005	7262	0.0	2182	6552	0.0	1234	5881	0.0	1232	5191	0.0	1996	8299	0.0	2059	7970	0.0	2389	8736	0.0	1842	6409	0.0	1977	7694	0.0	1947	8501	0.0	2057	8461	0.0	2441	9866	0.0	2473	9947	0.0	1512	6208	0.0	1861	7884	0.0	1792	7536	0.0	2247	7694	0.0	1739	7217	0.0	1667	7337	0.0	2088	6241	0.0	1878	6817	0.0	2146	7343	0.0	1874	7682	0.0	2317	8248	0.0	2192	7605	0.0	1697	5649	0.0	2548	6805	0.0	2041	7223	0.0	1769	7109	0.0	1904	7669	0.0	2266	8141	0.0	1503	5806	0.0	2759	7484	0.0	2261	7316	0.0	1880	7278	0.0	2086	7824	0.0	1926	9386	0.0	2001	6394	0.0	1967	6746	0.0	2055	6977	0.0	1865	7713	0.0	1916	7782	0.0	1691	7980	0.0	1758	5914	0.0	1756	5941	0.0	1683	7084	0.0	1941	7712	0.0	2467	9147	0.0	1666	8756	0.0	1715	5416	0.0	2118	6013	0.0	2124	7032	0.0	1957	7072	0.0	1826	6730	0.0	2367	8688	0.0	1516	4991	0.0	1692	6415	0.0	1554	6038	0.0	2123	7727	0.0	1551	6735	0.0	1834	7384	0.0
+46	cg08167039	1920	254	0.0	1764	416	0.0	3130	476	0.0	3292	481	0.0	5286	820	0.0	7796	1162	0.0	1777	234	0.0	1758	235	0.0	1331	217	0.0	1746	311	0.0	3689	717	0.0	7126	1331	0.0	9782	543	0.0	11474	649	0.0	12358	811	0.0	10463	655	0.0	10525	646	0.0	10536	639	0.0	8631	478	0.0	10181	562	0.0	11025	698	0.0	10393	665	0.0	11146	848	0.0	11584	737	0.0	9826	565	0.0	9878	649	0.0	9835	706	0.0	10020	564	0.0	11233	636	0.0	11105	677	0.0	8684	383	0.0	10123	536	0.0	10309	518	0.0	11515	576	0.0	10545	617	0.0	12313	612	0.0	8427	644	0.0	10122	698	0.0	9383	539	0.0	9823	853	0.0	9254	901	0.0	7922	976	0.0	8087	480	0.0	9333	697	0.0	9466	727	0.0	11413	808	0.0	10532	942	0.0	10439	1123	0.0	8215	523	0.0	9833	636	0.0	9606	626	0.0	10612	654	0.0	9825	685	0.0	9192	665	0.0	7696	440	0.0	8932	417	0.0	9112	636	0.0	9687	582	0.0	10338	712	0.0	9555	695	0.0	7759	423	0.0	9192	481	0.0	9414	540	0.0	11112	720	0.0	7255	552	0.0	11127	763	0.0	6315	393	0.0	9366	621	0.0	8145	564	0.0	8724	649	0.0	9631	668	0.0	8631	740	0.0
+47	cg20677962	1848	212	0.0	1654	223	0.0	2357	277	0.0	2708	372	0.0	4817	644	0.0	5963	808	0.0	1165	209	0.0	1297	161	0.0	1203	208	0.0	1481	289	0.0	3264	614	0.0	5226	807	0.0	7636	552	0.0	7827	647	0.0	9898	727	0.0	8535	707	0.0	8773	526	0.0	8890	563	0.0	6734	466	0.0	7736	576	0.0	8587	640	0.0	8515	751	0.0	8808	781	0.0	8771	749	0.0	6877	438	0.0	7530	472	0.0	7076	579	0.0	7703	498	0.0	8750	676	0.0	8569	812	0.0	6234	465	0.0	7866	486	0.0	7471	556	0.0	8699	609	0.0	8244	571	0.0	8977	679	0.0	7154	618	0.0	7688	633	0.0	8246	782	0.0	7428	723	0.0	7548	887	0.0	6533	937	0.0	6543	496	0.0	7462	683	0.0	7698	632	0.0	8401	890	0.0	7663	749	0.0	7468	999	0.0	6618	375	0.0	7640	562	0.0	8424	561	0.0	8128	735	0.0	8094	577	0.0	7520	590	0.0	6171	295	0.0	7629	533	0.0	7851	599	0.0	7522	572	0.0	8403	623	0.0	7591	600	0.0	6486	396	0.0	7113	477	0.0	7557	554	0.0	8083	655	0.0	6421	538	0.0	7619	634	0.0	6264	403	0.0	7200	515	0.0	6667	527	0.0	6675	563	0.0	7262	580	0.0	7265	612	0.0
+48	cg06402284	1224	218	0.0	1110	250	0.0	1266	240	0.0	1838	267	0.0	2553	352	0.0	2838	536	0.0	1234	173	0.0	1109	189	0.0	722	198	0.0	902	160	0.0	1680	266	0.0	4378	595	0.0	5233	433	0.0	6957	666	0.0	7749	623	0.0	5436	482	0.0	5682	579	0.0	5969	584	0.0	4798	352	0.0	5443	421	0.0	6026	464	0.0	5266	527	0.0	5861	634	0.0	5544	631	0.0	6549	496	0.0	4504	388	0.0	4988	378	0.0	4844	415	0.0	5036	532	0.0	3963	390	0.0	4092	254	0.0	4964	386	0.0	4811	368	0.0	7683	568	0.0	5278	373	0.0	1053	291	0.0	4316	395	0.0	3200	486	0.0	4279	471	0.0	6691	634	0.0	4498	549	0.0	4003	771	0.0	3970	394	0.0	4975	471	0.0	4884	541	0.0	7598	726	0.0	6221	658	0.0	6855	788	0.0	4417	307	0.0	4882	437	0.0	4918	352	0.0	5139	414	0.0	5399	441	0.0	4895	482	0.0	2432	232	0.0	4482	381	0.0	4209	441	0.0	6738	516	0.0	4584	448	0.0	4920	580	0.0	4191	299	0.0	2613	299	0.0	4680	395	0.0	7003	513	0.0	3737	379	0.0	7735	624	0.0	3602	319	0.0	4714	423	0.0	4429	420	0.0	4605	488	0.0	6522	498	0.0	4458	499	0.0
+49	cg24699430	4478	112	0.0	4437	111	0.0	4641	130	0.0	4958	141	0.0	9367	246	0.0	11623	317	0.0	1702	91	0.0	2065	133	0.0	2137	176	0.0	2856	175	0.0	7128	186	0.0	11658	392	0.0	9037	267	0.0	10023	305	0.0	10988	292	0.0	11099	358	0.0	11446	323	0.0	11525	305	0.0	7465	228	0.0	8933	321	0.0	10437	318	0.0	11441	312	0.0	11929	363	0.0	12126	377	0.0	8182	267	0.0	8941	302	0.0	9536	265	0.0	9524	268	0.0	10157	286	0.0	11385	297	0.0	6846	163	0.0	8500	244	0.0	9027	223	0.0	9662	202	0.0	10597	284	0.0	10996	286	0.0	8018	331	0.0	8914	347	0.0	9846	344	0.0	9744	417	0.0	10066	438	0.0	11485	581	0.0	8138	300	0.0	8898	345	0.0	9891	352	0.0	10238	336	0.0	10822	470	0.0	11955	531	0.0	7306	263	0.0	8869	288	0.0	9449	237	0.0	10229	358	0.0	10524	331	0.0	11331	330	0.0	6820	214	0.0	8401	279	0.0	9469	319	0.0	9493	375	0.0	10261	323	0.0	11220	334	0.0	7758	269	0.0	8153	299	0.0	8282	313	0.0	9259	331	0.0	9741	329	0.0	9997	344	0.0	7441	269	0.0	8180	314	0.0	8946	306	0.0	8538	292	0.0	9511	353	0.0	9927	379	0.0
+50	cg01551879	4632	198	0.0	3547	184	0.0	5573	167	0.0	5127	223	0.0	8719	317	0.0	10711	297	0.0	2341	165	0.0	2516	123	0.0	2402	155	0.0	3084	152	0.0	5635	265	0.0	8770	308	0.0	15257	618	0.0	12419	575	0.0	14331	611	0.0	15802	680	0.0	15099	692	0.0	15675	872	0.0	13205	457	0.0	14292	469	0.0	15379	619	0.0	14529	599	0.0	15541	859	0.0	16427	859	0.0	12353	484	0.0	12984	489	0.0	13335	548	0.0	13614	435	0.0	13936	473	0.0	14003	477	0.0	12048	308	0.0	12456	517	0.0	11981	520	0.0	14073	524	0.0	14591	536	0.0	15637	532	0.0	13808	622	0.0	14369	840	0.0	14406	821	0.0	13344	722	0.0	13986	703	0.0	12970	605	0.0	12787	476	0.0	13968	661	0.0	13914	703	0.0	14500	812	0.0	14311	633	0.0	12967	627	0.0	12558	452	0.0	13189	563	0.0	14058	560	0.0	14777	617	0.0	14295	632	0.0	14225	588	0.0	11415	393	0.0	13511	671	0.0	13334	485	0.0	13594	526	0.0	13979	527	0.0	13953	634	0.0	13386	491	0.0	13446	606	0.0	14394	625	0.0	14234	602	0.0	12530	515	0.0	15488	661	0.0	12394	496	0.0	13845	645	0.0	13262	628	0.0	13193	540	0.0	12801	650	0.0	14586	679	0.0
+51	cg22394869	4494	300	0.0	3554	165	0.0	4557	262	0.0	4822	214	0.0	7297	313	0.0	8877	508	0.0	2129	137	0.0	2231	127	0.0	2207	130	0.0	2884	178	0.0	4894	239	0.0	7463	369	0.0	12130	458	0.0	11873	660	0.0	12735	583	0.0	13096	674	0.0	12437	748	0.0	13279	673	0.0	10582	449	0.0	12002	528	0.0	13026	456	0.0	12130	735	0.0	13369	549	0.0	13699	637	0.0	10416	362	0.0	10347	465	0.0	10770	413	0.0	11251	352	0.0	11521	524	0.0	11870	457	0.0	9471	270	0.0	11185	363	0.0	11372	358	0.0	11839	368	0.0	11847	320	0.0	13419	534	0.0	12626	595	0.0	12973	658	0.0	12679	570	0.0	10783	785	0.0	12162	590	0.0	11370	545	0.0	11085	480	0.0	11879	628	0.0	11845	600	0.0	13721	538	0.0	11804	663	0.0	12409	619	0.0	10273	376	0.0	11335	388	0.0	12628	486	0.0	13496	469	0.0	12739	559	0.0	11602	463	0.0	10073	423	0.0	11608	519	0.0	11306	468	0.0	10683	507	0.0	12361	456	0.0	11791	458	0.0	10809	599	0.0	10952	555	0.0	11629	542	0.0	11818	500	0.0	10410	480	0.0	13194	634	0.0	10400	488	0.0	11815	570	0.0	10391	448	0.0	10823	483	0.0	11144	578	0.0	12205	575	0.0
+52	cg02550592	4431	117	0.0	4269	108	0.0	5070	100	0.0	5269	169	0.0	9322	211	0.0	12796	273	0.0	2191	70	0.0	2393	101	0.0	2183	102	0.0	2884	170	0.0	7980	174	0.0	12453	224	0.0	9485	206	0.0	10422	250	0.0	10885	233	0.0	11518	235	0.0	11127	257	0.0	11861	282	0.0	9063	198	0.0	10348	185	0.0	11785	255	0.0	12379	316	0.0	12387	309	0.0	12262	330	0.0	9424	231	0.0	10072	241	0.0	10370	253	0.0	10026	197	0.0	11407	244	0.0	12225	239	0.0	8208	147	0.0	9919	187	0.0	10229	180	0.0	10559	210	0.0	10476	231	0.0	11708	207	0.0	8904	316	0.0	9625	367	0.0	10417	318	0.0	10953	899	0.0	11167	409	0.0	11736	430	0.0	9207	272	0.0	10023	363	0.0	10659	341	0.0	11654	348	0.0	10801	474	0.0	13189	505	0.0	8271	232	0.0	9666	211	0.0	10642	244	0.0	11591	268	0.0	11576	284	0.0	12208	252	0.0	7875	173	0.0	9532	252	0.0	11060	228	0.0	11454	285	0.0	12506	262	0.0	12216	316	0.0	8494	235	0.0	9321	250	0.0	10157	272	0.0	11127	285	0.0	9736	317	0.0	11653	298	0.0	8175	177	0.0	9926	251	0.0	10194	330	0.0	11077	316	0.0	10772	295	0.0	11203	274	0.0
+53	cg03213877	3175	227	0.0	3105	196	0.0	3934	195	0.0	3984	196	0.0	6625	295	0.0	10410	517	0.0	1477	144	0.0	1550	133	0.0	1472	170	0.0	2004	142	0.0	5845	246	0.0	10062	469	0.0	7356	485	0.0	8215	660	0.0	8515	557	0.0	8420	600	0.0	8228	695	0.0	9125	725	0.0	6104	474	0.0	8155	556	0.0	8429	660	0.0	9597	625	0.0	9309	615	0.0	9044	826	0.0	6957	391	0.0	7132	530	0.0	7566	597	0.0	7746	478	0.0	7408	454	0.0	8805	584	0.0	6205	243	0.0	6599	414	0.0	7593	356	0.0	7704	401	0.0	7722	499	0.0	7597	492	0.0	5768	570	0.0	6897	542	0.0	7054	489	0.0	7798	645	0.0	7629	520	0.0	6794	678	0.0	6304	478	0.0	6521	444	0.0	7216	489	0.0	8726	479	0.0	8235	526	0.0	9009	530	0.0	5464	343	0.0	7293	382	0.0	7522	461	0.0	8922	416	0.0	8251	450	0.0	8245	511	0.0	5712	259	0.0	6537	334	0.0	7456	365	0.0	7992	521	0.0	9623	471	0.0	8367	566	0.0	5813	381	0.0	6569	377	0.0	7148	512	0.0	7694	430	0.0	6910	391	0.0	7406	549	0.0	6003	358	0.0	6752	505	0.0	6837	427	0.0	7523	394	0.0	7665	393	0.0	7122	526	0.0
+54	cg23803172	5393	211	0.0	4362	183	0.0	6364	209	0.0	6038	204	0.0	9951	258	0.0	11646	339	0.0	2763	138	0.0	2957	174	0.0	2899	124	0.0	3451	186	0.0	6552	216	0.0	10437	269	0.0	13468	490	0.0	14337	558	0.0	14979	592	0.0	15096	618	0.0	14821	657	0.0	15745	673	0.0	11970	399	0.0	13470	429	0.0	14205	621	0.0	14314	511	0.0	15650	675	0.0	15677	658	0.0	12807	399	0.0	12990	388	0.0	13935	382	0.0	14229	352	0.0	13810	437	0.0	15432	522	0.0	12643	279	0.0	14221	340	0.0	13979	336	0.0	14648	381	0.0	14111	350	0.0	15573	402	0.0	12985	708	0.0	14625	637	0.0	14825	462	0.0	13277	619	0.0	13907	547	0.0	11622	499	0.0	12360	326	0.0	13375	534	0.0	14243	448	0.0	15486	547	0.0	13874	584	0.0	13455	542	0.0	11387	302	0.0	13409	343	0.0	14218	480	0.0	15252	557	0.0	15436	471	0.0	14045	470	0.0	10869	289	0.0	13296	374	0.0	13375	319	0.0	12603	459	0.0	14723	350	0.0	12718	575	0.0	12441	533	0.0	13506	420	0.0	14113	569	0.0	13901	344	0.0	11759	396	0.0	14029	456	0.0	11740	503	0.0	13174	431	0.0	12850	443	0.0	12632	712	0.0	13467	458	0.0	13084	533	0.0
+55	cg19411932	3320	137	0.0	3728	121	0.0	4179	133	0.0	4489	126	0.0	7662	170	0.0	11429	249	0.0	1716	67	0.0	2105	117	0.0	1830	93	0.0	2301	182	0.0	6667	156	0.0	10614	228	0.0	8220	198	0.0	9502	219	0.0	9817	232	0.0	9838	271	0.0	8784	244	0.0	10979	250	0.0	6821	181	0.0	8375	234	0.0	10128	281	0.0	10555	273	0.0	10782	317	0.0	11259	218	0.0	7836	193	0.0	8663	285	0.0	9074	228	0.0	9232	208	0.0	9463	209	0.0	10090	201	0.0	6951	142	0.0	7400	142	0.0	8736	211	0.0	8759	174	0.0	9833	173	0.0	9761	162	0.0	7653	291	0.0	7536	330	0.0	8425	275	0.0	8645	356	0.0	9422	342	0.0	7719	550	0.0	6912	284	0.0	7798	370	0.0	8960	344	0.0	10180	338	0.0	9353	405	0.0	11177	393	0.0	6881	179	0.0	8135	185	0.0	8498	219	0.0	9136	259	0.0	9972	257	0.0	10045	230	0.0	6089	147	0.0	7806	231	0.0	8689	227	0.0	9350	259	0.0	10341	242	0.0	10130	261	0.0	6245	252	0.0	7516	204	0.0	7691	244	0.0	8860	282	0.0	7406	278	0.0	8963	321	0.0	6921	192	0.0	7521	254	0.0	7879	219	0.0	8735	291	0.0	8763	294	0.0	8595	292	0.0
+56	cg20788133	154	137	0.4266666666666671	218	147	0.0033333333333333	202	379	0.0	193	316	0.0	277	550	0.0	279	914	0.0	135	313	0.0	140	243	0.0	140	321	0.0	140	354	0.0	203	371	0.0	298	545	0.00166666666666671	458	1076	0.0	391	646	0.0	587	750	0.0	532	1280	0.0	533	870	0.0	547	1138	0.0	316	785	0.0	401	1230	0.0	485	1239	0.0	439	1316	0.0	606	1556	0.0	619	1443	0.0	287	1092	0.0	394	965	0.0	330	850	0.0	236	1017	0.0	342	949	0.0	338	706	0.0	282	954	0.0	404	1022	0.0	397	1099	0.0	376	875	0.0	480	1267	0.0	463	685	0.00166666666666671	402	802	0.0	730	1446	0.0	629	1122	0.0	641	1040	0.0	669	1013	0.0	486	1007	0.0	478	760	0.0	628	1352	0.0	504	1253	0.0	554	1031	0.0	653	1300	0.0	645	1513	0.0	405	1217	0.0	388	1085	0.0	412	947	0.0	443	705	0.0	481	1012	0.0	462	1022	0.0	346	878	0.0	448	752	0.0	415	800	0.0	466	1123	0.0	427	1270	0.0	465	1114	0.0	499	678	0.0	470	1092	0.0	644	1162	0.0	545	1243	0.0	426	824	0.0	588	1340	0.0	485	716	0.0	488	882	0.0	402	679	0.0	492	1403	0.0	500	835	0.0	418	1134	0.0
+57	cg08939496	404	1870	0.0	335	2252	0.0	570	3542	0.0	449	3632	0.0	766	6143	0.0	1017	8603	0.0	347	1643	0.0	295	1624	0.0	257	1558	0.0	382	2368	0.0	587	5677	0.0	819	7964	0.0	1708	7886	0.0	1166	7585	0.0	1243	7186	0.0	1718	9041	0.0	1472	8147	0.0	1837	8861	0.0	1271	6431	0.0	1565	7981	0.0	1521	9238	0.0	1604	9538	0.0	1880	10702	0.0	2077	10259	0.0	1253	7125	0.0	1384	7902	0.0	1581	8146	0.0	1588	7883	0.0	1323	7816	0.0	1471	7927	0.0	1447	6328	0.0	1556	7258	0.0	1361	7878	0.0	1336	7949	0.0	1719	9201	0.0	1529	9072	0.0	1692	6489	0.0	2184	7650	0.0	1632	8098	0.0	1335	8085	0.0	1626	7956	0.0	1832	9480	0.0	1163	5691	0.0	2023	7609	0.0	1849	7523	0.0	1481	8212	0.0	1833	8491	0.0	1392	9561	0.0	1638	6654	0.0	1704	7439	0.0	1440	7518	0.0	1776	7487	0.0	1572	9042	0.0	1593	8624	0.0	1590	5827	0.0	1338	6567	0.0	1434	7278	0.0	1504	8613	0.0	1712	9429	0.0	1594	9326	0.0	1419	5975	0.0	2083	7003	0.0	1540	7475	0.0	1480	8224	0.0	1333	7309	0.0	1640	8628	0.0	1283	5740	0.0	1355	7035	0.0	1157	6316	0.0	1742	8340	0.0	1412	7830	0.0	1548	8127	0.0
+58	cg16736630	182	386	0.0	145	310	0.0	179	643	0.0	228	598	0.0	308	1110	0.0	418	1453	0.0	184	375	0.0	147	321	0.0	118	346	0.0	199	489	0.0	256	1254	0.0	385	1174	0.0	557	1476	0.0	451	1690	0.0	658	1318	0.0	483	1853	0.0	688	1551	0.0	634	1905	0.0	482	1354	0.0	474	2051	0.0	578	1892	0.0	562	1967	0.0	775	1857	0.0	526	2349	0.0	396	1402	0.0	453	1852	0.0	436	1498	0.0	373	2062	0.0	589	1736	0.0	536	1540	0.0	390	1465	0.0	530	1559	0.0	468	1700	0.0	364	1625	0.0	561	2128	0.0	556	1988	0.0	679	1425	0.0	742	1771	0.0	687	1631	0.0	540	1415	0.0	580	1577	0.0	732	1964	0.0	375	964	0.0	766	1559	0.0	670	1717	0.0	667	1595	0.0	569	1665	0.0	390	1740	0.0	370	1432	0.0	427	1406	0.0	384	1716	0.0	478	1432	0.0	513	2003	0.0	410	1664	0.0	449	1233	0.0	477	1337	0.0	398	1597	0.0	510	1676	0.0	516	1774	0.0	374	2028	0.0	477	1197	0.0	413	1324	0.0	596	1473	0.0	533	1653	0.0	534	1194	0.0	680	1827	0.0	483	1093	0.0	509	1277	0.0	450	1164	0.0	661	1737	0.0	581	1272	0.0	612	1560	0.0
+59	cg01793617	671	3050	0.0	555	3457	0.0	858	3891	0.0	955	4337	0.0	1680	6793	0.0	2017	9815	0.0	595	1760	0.0	489	1942	0.0	510	1953	0.0	646	2712	0.0	1322	6906	0.0	1767	9886	0.0	3272	8220	0.0	2572	8316	0.0	2607	9071	0.0	3062	9656	0.0	2983	9734	0.0	3621	9896	0.0	2701	7376	0.0	3031	8766	0.0	2997	9640	0.0	2480	10132	0.0	3347	10844	0.0	3704	11808	0.0	2645	7783	0.0	2972	8762	0.0	2931	8751	0.0	3207	8765	0.0	2480	9304	0.0	2547	9948	0.0	2529	7330	0.0	3191	8509	0.0	2634	9199	0.0	3265	9224	0.0	2818	8922	0.0	3006	9727	0.0	3261	7545	0.0	3647	8476	0.0	3327	8620	0.0	2963	9237	0.0	3430	9515	0.0	3525	10635	0.0	2695	7040	0.0	3574	8452	0.0	3369	9184	0.0	3396	9922	0.0	3228	10301	0.0	3220	11594	0.0	3000	7289	0.0	3188	8600	0.0	3040	8924	0.0	3190	8754	0.0	3246	10092	0.0	2729	10097	0.0	2378	6732	0.0	2685	7962	0.0	2788	8569	0.0	3171	9429	0.0	3148	10304	0.0	2715	10549	0.0	2595	6521	0.0	3278	8006	0.0	3035	8954	0.0	3214	9224	0.0	2746	9162	0.0	3394	9816	0.0	2509	6874	0.0	2634	8056	0.0	2220	8412	0.0	2865	9072	0.0	2987	9155	0.0	3138	9612	0.0
+60	cg09139287	566	409	0.0	445	471	0.0	1048	623	0.0	790	896	0.0	1372	1161	0.0	1784	1269	0.0	423	800	0.0	384	635	0.0	441	308	0.0	766	999	0.0	1027	1239	0.0	1066	2420	0.0	3254	1706	0.0	2529	2130	0.0	1464	2557	0.0	3146	1822	0.0	3337	1722	0.0	3821	1908	0.0	2944	1505	0.0	3396	1943	0.0	3993	2089	0.0	3367	2392	0.0	4582	2789	0.0	4324	2261	0.0	1993	2526	0.0	3361	2009	0.0	3088	1890	0.0	3837	2149	0.0	3603	1698	0.0	2762	2985	0.0	3052	1553	0.0	3665	1783	0.0	3423	1847	0.0	2232	2809	0.0	4212	1380	0.0	3194	1588	0.0	2927	860	0.0	4031	1410	0.0	3353	1402	0.0	2551	2873	0.0	2866	1803	0.0	2511	4671	0.0	2296	791	0.0	3978	1538	0.0	3586	1470	0.0	2415	4170	0.0	2371	3447	0.0	2077	3207	0.0	3565	1552	0.0	3683	1670	0.0	3228	1450	0.0	2955	2343	0.0	3276	1564	0.0	3130	1405	0.0	2965	1069	0.0	2844	1400	0.0	2865	1268	0.0	2658	3787	0.0	3406	1994	0.0	3378	1558	0.0	2423	787	0.0	3229	1360	0.0	3771	1400	0.0	2576	2837	0.0	2727	1356	0.0	2611	3115	0.0	2612	919	0.0	2709	1115	0.0	2199	1136	0.0	3586	1666	0.0	2014	2383	0.0	2999	1146	0.0
+61	cg05662829	275	913	0.0	217	1072	0.0	605	1855	0.0	497	1616	0.0	899	2986	0.0	1050	4346	0.0	275	1021	0.0	207	915	0.0	283	866	0.0	351	1448	0.0	591	2720	0.0	785	4236	0.0	1811	4455	0.0	1011	4121	0.0	948	3704	0.0	2016	4714	0.0	1785	4948	0.0	2026	5377	0.0	1669	3722	0.0	1646	4933	0.0	1674	5010	0.0	1911	5920	0.0	2421	6880	0.0	2125	6367	0.0	1535	4025	0.0	2193	4176	0.0	1265	4445	0.0	2175	4657	0.0	1353	4751	0.0	1618	4891	0.0	1206	3887	0.0	2461	4058	0.0	2027	4401	0.0	1458	4728	0.0	2019	5175	0.0	1913	4261	0.0	1663	3733	0.0	2359	5014	0.0	2134	4881	0.0	1728	5357	0.0	1665	5250	0.0	1710	6651	0.0	1478	3328	0.0	2221	4926	0.0	2012	4949	0.0	1724	6124	0.0	1843	6243	0.0	1471	6424	0.0	1935	4121	0.0	2138	4503	0.0	1635	4201	0.0	1468	4702	0.0	2032	5521	0.0	1990	5015	0.0	1425	3649	0.0	1269	3660	0.0	1747	4400	0.0	1602	5832	0.0	1832	5595	0.0	1899	5619	0.0	1589	3018	0.0	2094	4147	0.0	2055	4198	0.0	1888	5414	0.0	1535	4261	0.0	1928	6134	0.0	1483	3339	0.0	1969	3607	0.0	1359	3561	0.0	1933	5041	0.0	1466	4766	0.0	1415	4929	0.0
+62	cg22714517	282	1671	0.0	258	1820	0.0	299	2335	0.0	312	2151	0.0	400	4229	0.0	632	5395	0.0	188	1057	0.0	186	1043	0.0	234	1013	0.0	260	1523	0.0	337	3260	0.0	514	4906	0.0	826	4828	0.0	794	4675	0.0	744	4218	0.0	828	6138	0.0	826	5262	0.0	913	5899	0.0	680	4149	0.0	684	4984	0.0	780	5579	0.0	957	6314	0.0	1054	6558	0.0	928	6091	0.0	659	4056	0.0	790	4752	0.0	561	4667	0.0	652	4796	0.0	440	4683	0.0	574	4741	0.0	513	3339	0.0	761	4633	0.0	588	4578	0.0	690	4420	0.0	659	5126	0.0	639	5200	0.0	809	4124	0.0	998	4946	0.0	962	4685	0.0	809	4594	0.0	816	4988	0.0	1225	5135	0.0	679	3677	0.0	883	4511	0.0	831	4828	0.0	1083	4583	0.0	758	4926	0.0	746	5412	0.0	677	4007	0.0	653	4654	0.0	715	4563	0.0	827	4402	0.0	627	5355	0.0	705	5448	0.0	548	3553	0.0	621	4105	0.0	686	4608	0.0	727	4873	0.0	681	5226	0.0	766	5494	0.0	692	3524	0.0	729	4107	0.0	743	4272	0.0	869	4814	0.0	579	4686	0.0	721	4728	0.0	776	3672	0.0	724	4255	0.0	780	4367	0.0	762	4828	0.0	671	4572	0.0	849	5347	0.0
+63	cg00168193	607	3431	0.0	602	3572	0.0	612	3835	0.0	557	4410	0.0	1182	7737	0.0	1425	10931	0.0	346	1815	0.0	307	1854	0.0	344	1762	0.0	352	2645	0.0	988	6658	0.0	1609	10545	0.0	1963	8542	0.0	1710	9505	0.0	2009	8640	0.0	2107	10451	0.0	1813	10164	0.0	2105	11075	0.0	1650	7718	0.0	1772	9087	0.0	1987	9945	0.0	2044	10839	0.0	2040	11574	0.0	2257	11687	0.0	1478	8123	0.0	1702	8887	0.0	1751	9429	0.0	1640	9330	0.0	1879	9631	0.0	2160	9963	0.0	1356	6949	0.0	1734	8037	0.0	1731	9661	0.0	2322	9458	0.0	1541	9743	0.0	1860	9676	0.0	1184	5758	0.0	1749	7368	0.0	1803	8897	0.0	1654	8700	0.0	1737	8653	0.0	4741	6298	0.0	1072	5955	0.0	1503	7466	0.0	1778	8697	0.0	1913	9859	0.0	1816	9521	0.0	1437	9323	0.0	1347	7029	0.0	1888	8618	0.0	1758	8667	0.0	1911	9673	0.0	1921	9677	0.0	1421	9562	0.0	1378	6466	0.0	1595	7780	0.0	1788	8938	0.0	1627	9237	0.0	1530	9570	0.0	1680	9563	0.0	1349	6438	0.0	1442	7742	0.0	1584	7750	0.0	1634	8727	0.0	1276	8635	0.0	1559	8040	0.0	1551	6122	0.0	1441	7818	0.0	1145	8546	0.0	1665	8421	0.0	1685	8055	0.0	1558	7954	0.0
+64	cg14280098	217	1031	0.0	181	837	0.0	227	1448	0.0	232	1580	0.0	276	2620	0.0	402	4309	0.0	188	731	0.0	144	802	0.0	145	687	0.0	167	1051	0.0	225	2066	0.0	307	3484	0.0	470	4100	0.0	553	4143	0.0	481	2709	0.0	711	4098	0.0	626	4183	0.0	649	4630	0.0	397	3006	0.0	646	4354	0.0	549	4796	0.0	460	4648	0.0	665	4904	0.0	691	4996	0.0	395	3255	0.0	569	3986	0.0	448	4033	0.0	523	4343	0.0	582	3867	0.0	518	4165	0.0	415	3075	0.0	527	3680	0.0	406	3790	0.0	450	3952	0.0	488	4076	0.0	520	3895	0.0	583	2660	0.0	709	3763	0.0	620	3331	0.0	671	3378	0.0	622	3451	0.0	657	4052	0.0	502	2517	0.0	609	3767	0.0	506	3963	0.0	612	3649	0.0	554	3666	0.0	610	3999	0.0	488	3076	0.0	492	3681	0.0	454	3708	0.0	665	3647	0.0	610	4186	0.0	448	3787	0.0	344	2913	0.0	461	3321	0.0	455	4220	0.0	508	3622	0.0	513	4081	0.0	379	4419	0.0	336	2771	0.0	510	3312	0.0	666	3594	0.0	626	3942	0.0	387	2822	0.0	517	3951	0.0	510	2604	0.0	636	3235	0.0	495	3284	0.0	557	3744	0.0	540	3137	0.0	583	3679	0.0
+65	cg15903280	378	452	0.0	195	539	0.0	594	950	0.0	510	929	0.0	1138	1765	0.0	1188	2328	0.0	470	408	0.0	375	541	0.0	311	548	0.0	440	955	0.0	495	1092	0.0	915	2178	0.0	2429	2263	0.0	1047	1964	0.0	1270	2069	0.0	2409	2684	0.0	2168	2328	0.0	2625	2746	0.0	1952	2141	0.0	2502	2790	0.0	2451	3073	0.0	2373	3223	0.0	2722	4381	0.0	2900	3124	0.0	2037	2278	0.0	2402	2508	0.0	2162	2269	0.0	2355	2422	0.0	1969	2460	0.0	1837	2177	0.0	2116	1978	0.0	2237	2431	0.0	2722	2780	0.0	2035	2162	0.0	2305	2469	0.0	2258	2740	0.0	2026	2234	0.0	3303	2680	0.0	2345	2346	0.0	1810	2732	0.0	2122	2667	0.0	1526	3158	0.0	1545	1809	0.0	2498	2690	0.0	2533	2460	0.0	2201	3012	0.0	1893	3126	0.0	2313	3080	0.0	2212	2157	0.0	2247	2250	0.0	2065	2491	0.0	1901	2429	0.0	2348	2752	0.0	2001	2411	0.0	2202	1888	0.0	1791	2131	0.0	1792	2373	0.0	2306	2558	0.0	2500	2931	0.0	2251	3200	0.0	1807	1689	0.0	2344	2219	0.0	2729	2304	0.0	2056	2822	0.0	1777	1856	0.0	2698	2777	0.0	1379	2092	0.0	1725	2010	0.0	1568	1861	0.0	2263	2618	0.0	1466	2469	0.0	2330	2402	0.0
+66	cg04352959	661	3358	0.0	387	3492	0.0	700	4238	0.0	713	4413	0.0	1435	7828	0.0	1813	9987	0.0	328	2267	0.0	441	2296	0.0	426	2327	0.0	576	2869	0.0	838	5448	0.0	1346	9075	0.0	2514	13274	0.0	1759	12677	0.0	2933	14426	0.0	2593	15940	0.0	3002	15802	0.0	2773	15089	0.0	2428	13523	0.0	2779	14573	0.0	2810	15104	0.0	2913	15314	0.0	2813	17097	0.0	3562	16594	0.0	1958	12201	0.0	2247	12820	0.0	2352	13128	0.0	2735	12871	0.0	2886	13103	0.0	2629	14196	0.0	1929	12562	0.0	2839	13294	0.0	2831	13882	0.0	2826	14297	0.0	2333	15308	0.0	2699	15511	0.0	2756	14237	0.0	3016	16814	0.0	2960	15398	0.0	2615	15013	0.0	2307	14873	0.0	2550	15307	0.0	2696	12279	0.0	3203	14821	0.0	2762	15081	0.0	2807	16722	0.0	2396	15743	0.0	2249	13927	0.0	2310	13175	0.0	2862	14527	0.0	2841	15326	0.0	3132	14130	0.0	2538	16491	0.0	2518	15601	0.0	2182	12565	0.0	2528	14171	0.0	2294	14211	0.0	2552	14296	0.0	2240	14811	0.0	2479	14676	0.0	1613	13353	0.0	2503	14240	0.0	2865	15142	0.0	3187	14570	0.0	1959	13396	0.0	2953	17499	0.0	1991	12376	0.0	2295	13242	0.0	2234	13199	0.0	2327	13506	0.0	2129	13868	0.0	2434	14216	0.0
+67	cg08258224	232	539	0.0	234	318	0.0	355	628	0.0	322	686	0.0	758	1446	0.0	571	1423	0.0	232	536	0.0	245	414	0.0	202	690	0.0	299	495	0.0	342	842	0.0	684	2708	0.0	1082	2077	0.0	1108	3005	0.0	741	1145	0.0	1379	2110	0.0	1429	3234	0.0	1530	2930	0.0	1071	2032	0.0	1404	3047	0.0	1738	4321	0.0	1231	2557	0.0	1655	3820	0.0	1987	3065	0.0	984	1914	0.0	740	2264	0.0	1223	2148	0.0	1585	2931	0.0	1421	3554	0.0	874	1680	0.0	923	1728	0.0	1104	2129	0.0	1555	3294	0.0	1409	2475	0.0	1490	4075	0.0	1256	3017	0.0	1107	2419	0.0	1699	2558	0.0	1228	1811	0.0	1017	1965	0.0	1162	2026	0.0	1277	2883	0.0	928	1605	0.0	1675	3310	0.0	1224	2192	0.0	1121	2812	0.0	1256	3008	0.0	1136	3160	0.0	1212	2277	0.0	1188	2732	0.0	937	2555	0.0	1174	2110	0.0	1538	3442	0.0	1082	2958	0.0	1116	1944	0.0	929	1934	0.0	1093	2356	0.0	1157	2507	0.0	1103	1993	0.0	1532	3496	0.0	1043	1837	0.0	1305	2900	0.0	1696	3034	0.0	1390	2447	0.0	822	1350	0.0	1211	2933	0.0	906	1658	0.0	1182	2397	0.0	862	1650	0.0	1143	2725	0.0	1187	1839	0.0	1405	2276	0.0
+68	cg12285627	1117	1592	0.0	1043	2148	0.0	1684	2205	0.0	1741	1993	0.0	2670	4065	0.0	3570	5692	0.0	996	1184	0.0	864	1010	0.0	1022	1057	0.0	989	1334	0.0	2104	3517	0.0	3263	6472	0.0	6842	5311	0.0	6159	5424	0.0	6154	4360	0.0	7287	6725	0.0	7264	6593	0.0	7783	6870	0.0	6180	4532	0.0	6774	6362	0.0	6767	7018	0.0	6209	6526	0.0	7421	7969	0.0	8462	7088	0.0	5777	5477	0.0	5877	4793	0.0	5405	5293	0.0	6116	5313	0.0	6446	5526	0.0	6125	5464	0.0	5059	4564	0.0	5905	4428	0.0	6301	4437	0.0	6299	5115	0.0	6461	5632	0.0	7035	6014	0.0	5615	4591	0.0	6679	5823	0.0	6290	5728	0.0	5859	5415	0.0	5319	5447	0.0	5733	6437	0.0	4917	4555	0.0	6094	5533	0.0	6462	5247	0.0	6367	5848	0.0	5446	6192	0.0	6254	6371	0.0	5491	4969	0.0	6516	5546	0.0	6574	5508	0.0	6484	5484	0.0	6167	5893	0.0	6649	5831	0.0	4851	4071	0.0	5559	5232	0.0	6006	4857	0.0	5638	5906	0.0	6082	5885	0.0	6197	7490	0.0	5515	4507	0.0	6619	4874	0.0	6720	4959	0.0	6096	5373	0.0	5546	5269	0.0	6030	6001	0.0	5122	4168	0.0	5375	4424	0.0	5497	4999	0.0	5852	6171	0.0	5321	5319	0.0	6288	5568	0.0
+69	cg05898754	3280	1802	0.0	3687	1756	0.0	3474	2580	0.0	4165	2825	0.0	7418	5151	0.0	7966	6422	0.0	1848	1018	0.0	1994	1185	0.0	1846	1221	0.0	2073	1799	0.0	4631	3822	0.0	8375	6212	0.0	9754	3900	0.0	9091	5137	0.0	11543	4677	0.0	10078	5582	0.0	10046	4867	0.0	10676	5590	0.0	8263	3791	0.0	10015	5097	0.0	10516	5533	0.0	10291	5654	0.0	10706	5393	0.0	11092	5920	0.0	7816	4093	0.0	8645	4788	0.0	8888	5496	0.0	9339	4840	0.0	9447	5566	0.0	9988	5736	0.0	7009	3900	0.0	9271	4444	0.0	9190	4467	0.0	9691	5208	0.0	9790	4970	0.0	10832	5339	0.0	9620	3392	0.0	10388	3699	0.0	9024	5239	0.0	9814	4682	0.0	10316	4163	0.0	8766	4458	0.0	8438	3393	0.0	8914	3931	0.0	9505	3818	0.0	10489	4427	0.0	9653	3967	0.0	9881	5368	0.0	8209	3316	0.0	9097	3832	0.0	9384	4311	0.0	10918	4235	0.0	10231	4988	0.0	9386	4017	0.0	7081	3350	0.0	9275	3841	0.0	9778	4483	0.0	8809	4399	0.0	9229	4538	0.0	9329	4454	0.0	8781	2729	0.0	8870	3342	0.0	9831	4181	0.0	9266	4561	0.0	7966	4141	0.0	10229	4371	0.0	8662	2679	0.0	9469	3320	0.0	9174	3782	0.0	8426	3666	0.0	9433	4019	0.0	9550	4521	0.0
+70	cg03128332	3385	796	0.0	3808	850	0.0	3624	837	0.0	4052	590	0.0	7657	1380	0.0	8930	2920	0.0	1770	398	0.0	1752	412	0.0	1766	553	0.0	2382	432	0.0	5748	1957	0.0	9367	3006	0.0	7311	2187	0.0	8408	2525	0.0	8872	2386	0.0	9824	2901	0.0	8599	3019	0.0	9370	2422	0.0	6678	2432	0.0	7719	2933	0.0	8825	2280	0.0	9275	3378	0.0	9749	3990	0.0	9559	4508	0.0	6880	2266	0.0	7436	2428	0.0	7690	3169	0.0	7754	2399	0.0	8285	1689	0.0	8824	2865	0.0	5829	1591	0.0	7192	2359	0.0	7461	2516	0.0	7912	2152	0.0	7870	3444	0.0	8689	1988	0.0	6871	2298	0.0	7584	1867	0.0	7721	2191	0.0	7825	2113	0.0	8200	2653	0.0	8783	2537	0.0	6338	1828	0.0	7297	2578	0.0	8010	2128	0.0	9376	1896	0.0	8417	2521	0.0	9484	2836	0.0	6047	1263	0.0	7264	1491	0.0	7726	2282	0.0	8749	2517	0.0	8710	2613	0.0	8409	1879	0.0	6036	1667	0.0	6869	2063	0.0	7726	1572	0.0	8123	2422	0.0	8376	1635	0.0	8829	1480	0.0	6421	1707	0.0	7273	2208	0.0	7215	1988	0.0	8003	2763	0.0	7109	1190	0.0	8185	2544	0.0	6545	1629	0.0	7232	1405	0.0	7789	1512	0.0	7796	2082	0.0	7790	2013	0.0	9135	2444	0.0
+71	cg15994267	2754	1612	0.0	2832	1681	0.0	2868	1539	0.0	3272	1790	0.0	6210	3528	0.0	7145	4411	0.0	1204	788	0.0	1392	732	0.0	1589	910	0.0	1986	1334	0.0	5019	2828	0.0	7945	4781	0.0	6498	3759	0.0	7138	4351	0.0	7817	4287	0.0	7577	5304	0.0	7528	5046	0.0	7994	4311	0.0	5235	3567	0.0	6640	4179	0.0	7812	5114	0.0	8141	5339	0.0	8463	5273	0.0	8150	5286	0.0	5442	3217	0.0	7194	3002	0.0	6045	3621	0.0	6157	3967	0.0	6402	3509	0.0	7188	3831	0.0	4960	3171	0.0	5545	3509	0.0	6270	3246	0.0	6145	4062	0.0	6240	4034	0.0	6719	4737	0.0	5648	3185	0.0	6149	3805	0.0	6105	4056	0.0	6575	4368	0.0	7015	3968	0.0	7264	4813	0.0	5596	2680	0.0	6231	3534	0.0	6831	4409	0.0	7052	4619	0.0	7107	4572	0.0	7902	4471	0.0	5586	3148	0.0	6306	3746	0.0	6718	4128	0.0	7093	4658	0.0	7130	4506	0.0	7370	4031	0.0	4576	3166	0.0	5834	3552	0.0	6335	4241	0.0	7170	4158	0.0	6851	4322	0.0	7247	3955	0.0	5091	3118	0.0	5769	3153	0.0	5736	3032	0.0	6708	4037	0.0	6046	4510	0.0	6785	3804	0.0	5138	2726	0.0	6181	2972	0.0	6256	3597	0.0	6617	3450	0.0	6375	3963	0.0	6992	3840	0.0
+72	cg16619049	3060	427	0.0	2073	902	0.0	3080	521	0.0	3467	402	0.0	5895	779	0.0	6602	991	0.0	1832	309	0.0	1750	314	0.0	1675	317	0.0	2191	465	0.0	3743	578	0.0	6341	1382	0.0	10924	2048	0.0	9387	2311	0.0	10859	1977	0.0	11300	2524	0.0	11497	2389	0.0	11938	1935	0.0	9341	2432	0.0	10880	2274	0.0	10256	3059	0.0	9921	2457	0.0	10961	4935	0.0	11873	3247	0.0	9174	1826	0.0	9765	1961	0.0	9993	1707	0.0	10017	1815	0.0	9449	3470	0.0	8961	2004	0.0	8694	1486	0.0	9908	2455	0.0	9861	1871	0.0	10256	1796	0.0	10325	1721	0.0	10957	2084	0.0	10590	1825	0.0	10928	1991	0.0	10318	1660	0.0	9720	2183	0.0	10128	2200	0.0	10532	2208	0.0	9302	1677	0.0	9399	2194	0.0	10694	2020	0.0	12108	3197	0.0	10653	2071	0.0	9077	2344	0.0	8922	2041	0.0	10214	2200	0.0	10289	2014	0.0	11578	2184	0.0	10565	2070	0.0	10659	1823	0.0	8940	1665	0.0	9950	2069	0.0	9416	1734	0.0	9742	2068	0.0	9713	2177	0.0	10468	1992	0.0	9925	1940	0.0	11028	1867	0.0	10496	1932	0.0	10165	1960	0.0	8911	1795	0.0	11741	2123	0.0	10149	1794	0.0	10340	2378	0.0	9243	1779	0.0	9763	2326	0.0	10336	1993	0.0	11232	2040	0.0
+73	cg23100540	2343	299	0.0	1763	1075	0.0	2501	562	0.0	2190	392	0.0	3144	516	0.0	5902	1547	0.0	1582	231	0.0	1484	293	0.0	1398	222	0.0	1805	463	0.0	3136	617	0.0	5558	1632	0.0	9738	988	0.0	8517	1093	0.0	9651	1233	0.0	10510	1053	0.0	9673	1197	0.0	10137	914	0.0	8285	762	0.0	9410	1093	0.0	6188	984	0.0	6217	906	0.0	10175	2894	0.0	10746	1640	0.0	8437	816	0.0	8463	903	0.0	9071	902	0.0	8905	841	0.0	9317	1840	0.0	5731	691	0.0	8276	677	0.0	5654	708	0.0	9039	970	0.0	9227	822	0.0	9563	999	0.0	10345	1165	0.0	9272	942	0.0	9617	1021	0.0	6621	784	0.0	6349	1037	0.0	9649	1491	0.0	8674	1631	0.0	8316	900	0.0	1679	605	0.0	9665	1175	0.0	10597	1808	0.0	10369	1545	0.0	9254	1530	0.0	8300	809	0.0	8946	1027	0.0	9664	1121	0.0	10150	1203	0.0	9685	1262	0.0	8601	1298	0.0	7681	707	0.0	9201	873	0.0	6044	745	0.0	8951	1224	0.0	5918	891	0.0	9278	1123	0.0	8787	820	0.0	9198	785	0.0	9941	849	0.0	6245	877	0.0	4975	728	0.0	10257	1191	0.0	8415	778	0.0	9085	1114	0.0	8260	876	0.0	9090	1338	0.0	8915	1273	0.0	9713	1081	0.0
+74	cg20275697	711	2432	0.0	685	3411	0.0	656	3969	0.0	981	3789	0.0	1616	6777	0.0	1280	9156	0.0	357	1692	0.0	447	1705	0.0	396	1751	0.0	704	2122	0.0	1493	5336	0.0	1074	9215	0.0	3704	6535	0.0	1525	7495	0.0	2337	5749	0.0	3450	8079	0.0	3143	7628	0.0	3737	8169	0.0	2975	5135	0.0	2782	6849	0.0	3121	8542	0.0	1821	8855	0.0	3042	9315	0.0	2825	9772	0.0	2899	5658	0.0	1663	7466	0.0	3056	6676	0.0	1565	6925	0.0	1650	7531	0.0	2515	7287	0.0	1375	5859	0.0	3835	5572	0.0	3313	5655	0.0	1528	7597	0.0	1776	8234	0.0	1881	7767	0.0	2559	5689	0.0	3760	5982	0.0	1728	7541	0.0	1662	7751	0.0	1570	8012	0.0	1779	8209	0.0	1333	5946	0.0	2090	7043	0.0	2054	7606	0.0	1445	8188	0.0	1876	8339	0.0	1522	9000	0.0	1609	6320	0.0	1523	7130	0.0	1590	7523	0.0	1836	8071	0.0	2689	7561	0.0	1647	8731	0.0	2941	4939	0.0	1503	6225	0.0	3378	6558	0.0	1608	7917	0.0	1609	8252	0.0	2549	8346	0.0	2338	5667	0.0	2077	6589	0.0	3984	6400	0.0	2438	7119	0.0	2276	6365	0.0	2758	7316	0.0	1304	5557	0.0	1832	5746	0.0	2475	6789	0.0	1678	7745	0.0	2316	6996	0.0	2307	6866	0.0
+75	cg05475702	1065	990	0.0	720	1786	0.0	1570	1712	0.0	1512	2026	0.0	3062	3470	0.0	3415	5532	0.0	782	901	0.0	991	904	0.0	694	822	0.0	1105	1381	0.0	1636	2582	0.0	3261	5101	0.0	6139	3774	0.0	4897	4259	0.0	5678	3897	0.0	6991	5413	0.0	6602	5070	0.0	7099	4372	0.0	4674	3533	0.0	5998	4083	0.0	6177	4789	0.0	6425	5373	0.0	6553	6541	0.0	7465	4612	0.0	4560	3044	0.0	4979	3643	0.0	5127	4150	0.0	5479	3859	0.0	4907	4535	0.0	5701	3962	0.0	5411	3132	0.0	5358	3747	0.0	5009	3774	0.0	5692	3946	0.0	5715	4461	0.0	6374	4588	0.0	5464	3377	0.0	7003	3662	0.0	6711	3891	0.0	5930	4240	0.0	5963	4906	0.0	5691	4997	0.0	5120	3633	0.0	6329	3889	0.0	5933	4054	0.0	6488	4919	0.0	6666	4871	0.0	6796	5666	0.0	5242	3344	0.0	6055	4044	0.0	6087	4130	0.0	6549	4534	0.0	6744	4742	0.0	6281	5228	0.0	4788	2894	0.0	6043	3885	0.0	4881	3950	0.0	5122	4139	0.0	5734	4612	0.0	5563	4747	0.0	5004	3537	0.0	5958	3625	0.0	6282	3707	0.0	6063	4062	0.0	4384	3591	0.0	6708	4780	0.0	5478	3029	0.0	5368	3709	0.0	5339	3572	0.0	5550	4402	0.0	6153	3955	0.0	6201	4209	0.0
+76	cg18147296	3096	2115	0.0	1616	4170	0.0	2896	2186	0.0	3716	2267	0.0	6318	3943	0.0	7018	4921	0.0	1663	924	0.0	1671	854	0.0	1756	814	0.0	1883	1310	0.0	3641	3536	0.0	6884	6926	0.0	9733	3766	0.0	10564	3592	0.0	11173	5038	0.0	11158	5322	0.0	11173	5145	0.0	12001	4226	0.0	8795	4096	0.0	10308	4288	0.0	10502	5815	0.0	9639	6637	0.0	8873	8586	0.0	12111	4189	0.0	9018	3541	0.0	9503	3546	0.0	10290	4378	0.0	9873	3647	0.0	9403	5873	0.0	10818	3585	0.0	8650	3186	0.0	8783	4270	0.0	9203	3756	0.0	9988	3781	0.0	10072	4286	0.0	10761	5426	0.0	10321	4026	0.0	10535	3974	0.0	11544	4043	0.0	10099	5154	0.0	10543	4929	0.0	9765	5074	0.0	9363	3225	0.0	10689	4148	0.0	10146	4169	0.0	10109	6341	0.0	10393	5009	0.0	9684	6235	0.0	8682	3673	0.0	9122	4090	0.0	10383	5087	0.0	11019	4678	0.0	10514	4395	0.0	9686	4729	0.0	8737	3002	0.0	9896	3533	0.0	9635	4727	0.0	10147	3737	0.0	9207	5321	0.0	10307	5177	0.0	9217	4639	0.0	9555	3923	0.0	11216	4133	0.0	10321	4086	0.0	8990	4081	0.0	10860	4373	0.0	9002	3556	0.0	9189	4911	0.0	10074	4185	0.0	9839	5128	0.0	9920	4785	0.0	10645	4399	0.0
+77	cg05597748	1534	2403	0.0	761	2542	0.0	1124	2403	0.0	1470	2822	0.0	2999	4934	0.0	3410	6260	0.0	799	1037	0.0	842	1191	0.0	722	1187	0.0	920	1595	0.0	1796	4042	0.0	3224	7132	0.0	4230	5032	0.0	4802	4586	0.0	5796	5720	0.0	4139	6844	0.0	5228	6034	0.0	5316	6057	0.0	4259	4282	0.0	4484	5168	0.0	4431	6511	0.0	4129	6918	0.0	4680	7418	0.0	6090	6005	0.0	4083	4103	0.0	4161	4567	0.0	3573	5705	0.0	3211	4679	0.0	3839	5756	0.0	4775	5509	0.0	3343	3706	0.0	3975	4136	0.0	3526	5003	0.0	4158	5174	0.0	4467	5013	0.0	4509	5591	0.0	4637	5505	0.0	5441	4939	0.0	4814	4997	0.0	4723	5732	0.0	4940	6302	0.0	5159	5802	0.0	4324	4830	0.0	4450	5084	0.0	4470	5765	0.0	5024	5890	0.0	4845	5629	0.0	4473	7820	0.0	3570	4838	0.0	4219	5073	0.0	3856	5335	0.0	4967	6218	0.0	4632	6394	0.0	3917	6274	0.0	3708	4084	0.0	4487	4417	0.0	4333	5166	0.0	4974	5235	0.0	3868	5744	0.0	4644	6629	0.0	4072	4941	0.0	4158	5018	0.0	4574	5284	0.0	4530	5525	0.0	4476	5213	0.0	5341	5735	0.0	4616	4148	0.0	3785	5453	0.0	4451	5642	0.0	4834	5727	0.0	4809	5450	0.0	4742	6145	0.0
+78	cg00111697	668	2074	0.0	661	2600	0.0	901	2933	0.0	850	2926	0.0	1912	5589	0.0	1836	5615	0.0	431	1172	0.0	524	1376	0.0	517	1328	0.0	749	2030	0.0	1335	4788	0.0	1611	6212	0.0	3019	5539	0.0	2478	5928	0.0	3474	5698	0.0	2626	6701	0.0	3260	7074	0.0	3868	6944	0.0	2510	4904	0.0	2261	5187	0.0	2787	6452	0.0	3390	7557	0.0	3228	7660	0.0	3986	7357	0.0	2301	4876	0.0	2617	5481	0.0	3041	5801	0.0	3370	6611	0.0	2681	5876	0.0	2926	5828	0.0	2202	4439	0.0	2858	5208	0.0	2684	5911	0.0	2507	5045	0.0	2913	6216	0.0	2951	7090	0.0	2781	5048	0.0	3060	5332	0.0	3526	6028	0.0	2613	5494	0.0	2777	6277	0.0	2684	6466	0.0	2358	4285	0.0	2779	5529	0.0	3123	6002	0.0	2582	5850	0.0	2923	5907	0.0	2775	6873	0.0	2319	4851	0.0	2735	5492	0.0	3058	6305	0.0	3469	6791	0.0	2865	6495	0.0	2623	6844	0.0	2181	4124	0.0	2715	4976	0.0	2447	5796	0.0	2860	5514	0.0	2358	6568	0.0	2425	6409	0.0	2508	4475	0.0	2862	5411	0.0	2975	5419	0.0	2393	5091	0.0	2518	6154	0.0	3240	6346	0.0	2792	4510	0.0	2649	5594	0.0	2655	5621	0.0	2831	6148	0.0	2323	5011	0.0	2966	5968	0.0
+79	cg10988531	241	297	0.0	172	320	0.0	521	408	0.0	430	408	0.0	600	680	0.0	949	699	0.0	323	234	0.0	328	231	0.0	287	213	0.0	337	301	0.0	357	566	0.0	645	621	0.0	1697	968	0.0	925	510	0.0	1167	678	0.0	1571	867	0.0	1683	820	0.0	1833	864	0.0	1314	863	0.0	1762	1151	0.0	1903	1254	0.0	1823	1163	0.0	1923	1912	0.0	1952	1194	0.0	1303	628	0.0	1402	973	0.0	1410	988	0.0	1732	1163	0.0	1545	1048	0.0	1114	848	0.0	1427	609	0.0	1431	847	0.0	1572	793	0.0	1574	826	0.0	1731	920	0.0	1743	883	0.0	1644	919	0.0	2629	1138	0.0	1429	858	0.0	1381	952	0.0	1501	1092	0.0	1678	1304	0.0	1289	786	0.0	1974	1073	0.0	1940	1019	0.0	1498	1279	0.0	1757	1153	0.0	1819	1343	0.0	1808	872	0.0	1739	915	0.0	1584	836	0.0	1488	940	0.0	1583	1125	0.0	1571	966	0.0	1456	656	0.0	1223	837	0.0	1502	763	0.0	1658	986	0.0	1610	1201	0.0	1788	1040	0.0	1444	839	0.0	1922	837	0.0	1682	822	0.0	2062	935	0.0	1438	770	0.0	2161	1033	0.0	1484	582	0.0	1243	881	0.0	1151	743	0.0	1806	1048	0.0	1324	1019	0.0	1486	1160	0.0
+80	cg24373735	237	1693	0.0	279	1291	0.0	289	2134	0.0	300	1946	0.0	555	3945	0.0	571	4932	0.0	176	1293	0.0	188	1111	0.0	188	1070	0.0	206	1327	0.0	394	2740	0.0	439	4345	0.0	853	8544	0.0	703	7188	0.0	806	6524	0.0	849	8777	0.0	976	8950	0.0	1042	8392	0.0	681	7349	0.0	785	8409	0.0	857	9075	0.0	818	8565	0.0	1147	9680	0.0	1020	9401	0.0	746	7413	0.0	771	7742	0.0	657	7242	0.0	927	8145	0.0	908	7459	0.0	1007	7542	0.0	629	6991	0.0	815	7808	0.0	731	7972	0.0	763	7346	0.0	802	8661	0.0	756	8348	0.0	1121	7124	0.0	1123	9277	0.0	1053	8292	0.0	777	7972	0.0	920	7017	0.0	999	7224	0.0	754	6436	0.0	870	8151	0.0	1008	8250	0.0	958	8115	0.0	986	8042	0.0	852	7065	0.0	856	7308	0.0	839	8081	0.0	988	8020	0.0	754	7583	0.0	614	8527	0.0	856	7837	0.0	660	7178	0.0	766	6691	0.0	871	7277	0.0	745	7523	0.0	810	8044	0.0	695	8029	0.0	860	6647	0.0	877	7762	0.0	1015	8868	0.0	1005	8316	0.0	815	7358	0.0	1097	8391	0.0	608	7128	0.0	913	7473	0.0	650	5992	0.0	976	7273	0.0	784	7136	0.0	975	7932	0.0
+81	cg13938959	403	2210	0.0	393	2419	0.0	584	3675	0.0	431	3860	0.0	760	6403	0.0	1114	9841	0.0	267	1638	0.0	343	1588	0.0	302	1640	0.0	349	2766	0.0	710	6205	0.0	1401	8419	0.0	1648	8139	0.0	1229	7653	0.0	1193	6821	0.0	1297	9550	0.0	1919	9002	0.0	1717	9500	0.0	1507	7377	0.0	1611	8735	0.0	1966	9643	0.0	1983	9642	0.0	2888	10427	0.0	2405	9808	0.0	1345	7808	0.0	1388	8460	0.0	1435	8478	0.0	1992	8429	0.0	1822	9079	0.0	1524	9023	0.0	1061	6938	0.0	1701	7647	0.0	1922	8034	0.0	1872	8273	0.0	1567	9086	0.0	1537	8488	0.0	1554	7063	0.0	1851	8029	0.0	2080	8404	0.0	1526	8350	0.0	1771	8512	0.0	1625	9785	0.0	1280	6331	0.0	1756	8244	0.0	1746	8707	0.0	2262	8938	0.0	1768	9947	0.0	1358	10344	0.0	1523	6961	0.0	1669	8302	0.0	1756	8315	0.0	1688	8543	0.0	1533	9760	0.0	1593	9440	0.0	1195	6353	0.0	1674	6629	0.0	1313	7975	0.0	1661	8902	0.0	1417	9167	0.0	1560	10336	0.0	1497	6084	0.0	1903	7553	0.0	1931	8034	0.0	1611	8859	0.0	1384	7475	0.0	1588	9306	0.0	1310	6288	0.0	2026	7094	0.0	1575	7916	0.0	1692	8492	0.0	2098	8391	0.0	1532	8788	0.0
+82	cg12445832	396	1487	0.0	690	1473	0.0	873	2086	0.0	730	2412	0.0	1472	4393	0.0	1894	5764	0.0	405	1104	0.0	384	1260	0.0	472	1071	0.0	535	1575	0.0	1093	3970	0.0	1387	6098	0.0	3060	5374	0.0	2314	5829	0.0	2597	5019	0.0	3232	6331	0.0	2853	5885	0.0	3084	6384	0.0	2835	4518	0.0	2708	5907	0.0	2456	6722	0.0	2920	6867	0.0	4482	6880	0.0	4833	6703	0.0	2150	5045	0.0	2287	5378	0.0	2451	6116	0.0	3161	5393	0.0	3322	5547	0.0	3068	6188	0.0	2275	4422	0.0	2505	4842	0.0	2669	5481	0.0	2926	5126	0.0	2560	6085	0.0	2931	6331	0.0	3122	5006	0.0	3401	5700	0.0	3132	5827	0.0	2641	6715	0.0	2596	6285	0.0	2752	6973	0.0	2378	4230	0.0	3154	5491	0.0	3027	6243	0.0	3242	6393	0.0	2513	6929	0.0	2333	7316	0.0	2248	4610	0.0	2314	5449	0.0	2668	5964	0.0	2842	5595	0.0	2807	6017	0.0	2539	6498	0.0	2198	4468	0.0	2401	4903	0.0	2229	5484	0.0	2736	5605	0.0	2462	6288	0.0	2746	6379	0.0	2127	4187	0.0	2639	5853	0.0	3391	5559	0.0	2555	5936	0.0	2025	5285	0.0	2898	6516	0.0	2623	4095	0.0	2578	4364	0.0	2274	4795	0.0	2380	5901	0.0	3179	5606	0.0	3211	5676	0.0
+83	cg23999112	275	1308	0.0	372	1181	0.0	351	1903	0.0	373	2395	0.0	647	3850	0.0	687	4739	0.0	192	789	0.0	212	1015	0.0	169	923	0.0	277	1423	0.0	327	3469	0.0	590	4638	0.0	1103	4348	0.0	1013	4200	0.0	842	3809	0.0	1032	5556	0.0	1034	4763	0.0	1096	5115	0.0	795	3605	0.0	1222	5078	0.0	1008	5181	0.0	972	6074	0.0	1323	5641	0.0	1298	5619	0.0	744	3923	0.0	892	4344	0.0	832	4811	0.0	608	4245	0.0	689	4749	0.0	869	4804	0.0	606	3876	0.0	1055	4379	0.0	676	4545	0.0	1095	4624	0.0	792	5497	0.0	996	4896	0.0	1199	4302	0.0	1426	5164	0.0	1175	5133	0.0	1093	5591	0.0	966	5448	0.0	1128	5829	0.0	907	3631	0.0	1166	4897	0.0	1110	5297	0.0	1229	5301	0.0	891	5717	0.0	870	6070	0.0	885	4066	0.0	933	4698	0.0	925	4693	0.0	1053	4856	0.0	997	5625	0.0	1111	5364	0.0	857	3940	0.0	875	4153	0.0	845	4645	0.0	883	5400	0.0	913	5288	0.0	767	5942	0.0	950	3567	0.0	905	4378	0.0	1036	4667	0.0	856	5262	0.0	842	4584	0.0	972	5389	0.0	857	3913	0.0	1137	3992	0.0	1048	4318	0.0	1066	5088	0.0	1019	5053	0.0	1148	4634	0.0
+84	cg11527153	722	2201	0.0	316	2101	0.0	646	2906	0.0	743	3115	0.0	1048	5481	0.0	1580	6863	0.0	403	1274	0.0	464	1467	0.0	398	1474	0.0	539	1960	0.0	1342	5000	0.0	1237	7107	0.0	2525	6123	0.0	2327	6941	0.0	2696	6099	0.0	2528	6811	0.0	2114	6217	0.0	2404	6687	0.0	1894	5008	0.0	2312	6317	0.0	2337	6883	0.0	2059	7657	0.0	2676	7342	0.0	2760	7364	0.0	1682	4981	0.0	2220	5908	0.0	2368	6214	0.0	2417	6283	0.0	2077	6506	0.0	2635	7279	0.0	1675	4744	0.0	2565	5392	0.0	2291	5860	0.0	2552	5919	0.0	2459	6557	0.0	2064	6869	0.0	1831	5472	0.0	2584	6026	0.0	2333	6108	0.0	1774	6572	0.0	2306	6756	0.0	2378	7012	0.0	2110	5044	0.0	2483	5741	0.0	2330	6465	0.0	2164	6948	0.0	2285	6865	0.0	2129	7407	0.0	2179	4831	0.0	2153	5691	0.0	2273	6317	0.0	2508	6155	0.0	2078	6917	0.0	1981	6276	0.0	1869	4586	0.0	2393	5423	0.0	2498	5851	0.0	2458	6289	0.0	2149	6726	0.0	2102	7589	0.0	1710	4808	0.0	1967	5391	0.0	2329	6157	0.0	2366	6256	0.0	1431	5366	0.0	2293	6802	0.0	2034	4774	0.0	2228	4799	0.0	1777	5238	0.0	2226	6187	0.0	2450	6552	0.0	2202	6402	0.0
+85	cg27573606	174	1472	0.0	142	1192	0.0	171	1958	0.0	130	1831	0.0	281	3695	0.0	329	6155	0.0	131	837	0.0	116	898	0.0	68	840	0.0	157	1218	0.0	454	2749	0.0	355	5406	0.0	349	5516	0.0	334	5602	0.0	336	4724	0.0	494	6753	0.0	348	6228	0.0	322	6424	0.0	275	4840	0.0	410	5615	0.0	398	6568	0.0	458	7173	0.0	529	7212	0.0	519	7934	0.0	345	5133	0.0	455	5776	0.0	350	5568	0.0	299	5412	0.0	377	5791	0.0	393	6043	0.0	201	4962	0.0	354	4980	0.0	340	5276	0.0	501	5461	0.0	298	6822	0.0	336	6804	0.0	401	5184	0.0	537	5935	0.0	495	6345	0.0	469	6600	0.0	547	6466	0.0	734	7431	0.0	339	4451	0.0	491	5770	0.0	476	6703	0.0	469	6337	0.0	600	7142	0.0	594	7081	0.0	304	4887	0.0	309	5496	0.0	363	5343	0.0	329	5584	0.0	390	6897	0.0	343	7240	0.0	230	4373	0.0	312	5129	0.0	289	5780	0.0	372	6173	0.0	321	6794	0.0	465	6425	0.0	378	4101	0.0	416	4934	0.0	404	5312	0.0	393	5601	0.0	394	5575	0.0	531	6134	0.0	255	4113	0.0	366	4842	0.0	342	5050	0.0	408	6327	0.0	371	6118	0.0	348	5557	0.0
+86	cg04195702	1430	3958	0.0	384	5108	0.0	1095	4550	0.0	906	4986	0.0	1217	8474	0.0	2638	11671	0.0	402	2277	0.0	588	1931	0.0	436	2406	0.0	465	3034	0.0	1005	8014	0.0	1775	11766	0.0	3210	8771	0.0	2934	9494	0.0	3980	9289	0.0	3259	11260	0.0	2579	10012	0.0	3099	10505	0.0	2133	8232	0.0	2343	9537	0.0	3055	10441	0.0	2620	11914	0.0	2417	11339	0.0	2807	12170	0.0	2391	8441	0.0	1725	9268	0.0	2223	9929	0.0	2668	9201	0.0	3356	9025	0.0	2754	12024	0.0	2738	7444	0.0	2156	8036	0.0	1481	8940	0.0	3449	9050	0.0	2234	10290	0.0	1954	9285	0.0	3797	8067	0.0	3361	8777	0.0	3381	10016	0.0	2443	11067	0.0	2605	10074	0.0	2648	10742	0.0	2670	8397	0.0	2213	9419	0.0	1963	10370	0.0	3181	11026	0.0	3022	10484	0.0	2337	11672	0.0	1715	8118	0.0	3364	8791	0.0	2446	9750	0.0	3320	9376	0.0	3809	9891	0.0	1944	11888	0.0	1688	7461	0.0	2470	9234	0.0	2099	9287	0.0	2315	10889	0.0	2015	11010	0.0	3696	11024	0.0	2217	9487	0.0	2111	8547	0.0	2548	8951	0.0	2503	10665	0.0	1797	9585	0.0	3098	10527	0.0	2192	8257	0.0	2208	9301	0.0	1803	9891	0.0	1890	10435	0.0	3278	10255	0.0	3276	10518	0.0
+87	cg01062849	306	1240	0.0	190	1421	0.0	263	2196	0.0	316	1768	0.0	330	2355	0.0	563	5986	0.0	177	1022	0.0	141	1181	0.0	144	1072	0.0	257	1416	0.0	391	3932	0.0	703	6270	0.0	906	5288	0.0	764	5553	0.0	762	4255	0.0	690	6118	0.0	645	5251	0.0	856	5869	0.0	602	4493	0.0	641	5736	0.0	774	5966	0.0	538	4219	0.0	962	6925	0.0	704	6708	0.0	600	4896	0.0	801	4988	0.0	702	5454	0.0	653	5747	0.0	714	5626	0.0	943	5820	0.0	603	4482	0.0	628	4713	0.0	792	5365	0.0	690	5002	0.0	748	5916	0.0	509	3528	0.0	919	4354	0.0	896	5182	0.0	802	3634	0.0	776	5108	0.0	845	5557	0.0	789	3979	0.0	757	3802	0.0	906	5015	0.0	1076	5126	0.0	898	6075	0.0	959	5949	0.0	767	6013	0.0	656	4883	0.0	861	4810	0.0	670	5419	0.0	565	5655	0.0	804	5877	0.0	687	5219	0.0	517	3968	0.0	763	4721	0.0	726	4964	0.0	522	5257	0.0	789	5794	0.0	1003	6206	0.0	656	3926	0.0	813	4959	0.0	785	4892	0.0	916	5488	0.0	620	4479	0.0	928	5975	0.0	767	4039	0.0	668	4845	0.0	654	4262	0.0	906	5444	0.0	999	5589	0.0	781	5455	0.0
+88	cg08128007	916	4424	0.0	700	5175	0.0	942	4686	0.0	732	5250	0.0	1366	8617	0.0	2232	11115	0.0	439	2079	0.0	470	2173	0.0	602	2322	0.0	477	3069	0.0	1266	7592	0.0	1940	11064	0.0	2862	8556	0.0	2542	10332	0.0	3073	10180	0.0	2440	11340	0.0	2988	9881	0.0	3564	10705	0.0	2319	7727	0.0	2562	9365	0.0	3445	9881	0.0	1923	10989	0.0	2587	10892	0.0	2599	12474	0.0	1917	7347	0.0	1833	7955	0.0	2260	8786	0.0	2181	8867	0.0	2234	9686	0.0	3432	10417	0.0	2270	7077	0.0	1853	7969	0.0	1574	8386	0.0	2882	9333	0.0	1730	9791	0.0	1838	10412	0.0	3108	8038	0.0	3356	7863	0.0	2223	8940	0.0	2254	9075	0.0	2610	9639	0.0	2029	10019	0.0	2306	7219	0.0	2494	8292	0.0	2189	9113	0.0	3178	9165	0.0	2557	9744	0.0	2105	11334	0.0	2334	7442	0.0	2916	7963	0.0	2199	8985	0.0	2619	9844	0.0	3156	9977	0.0	1920	10928	0.0	1576	6591	0.0	2079	8331	0.0	2267	9240	0.0	2089	9209	0.0	1688	9999	0.0	2873	9646	0.0	2235	7720	0.0	2331	8203	0.0	1970	8831	0.0	2056	9384	0.0	1472	9515	0.0	2551	10194	0.0	1899	7756	0.0	2092	8584	0.0	1843	8487	0.0	2299	9507	0.0	2269	9336	0.0	2731	9623	0.0
+89	cg23733394	3406	942	0.0	3074	1271	0.0	3134	1075	0.0	3143	1462	0.0	5789	3473	0.0	6391	1078	0.0	1521	949	0.0	1602	435	0.0	1744	622	0.0	2067	877	0.0	4662	1873	0.0	6650	3169	0.0	11323	1401	0.0	11182	2693	0.0	11647	3601	0.0	11408	2000	0.0	11163	1424	0.0	11793	1916	0.0	9360	1647	0.0	10655	2114	0.0	11248	2331	0.0	10568	4851	0.0	10876	4929	0.0	12301	2943	0.0	9609	1320	0.0	10236	1723	0.0	9749	2149	0.0	10372	1524	0.0	10024	2374	0.0	11214	1291	0.0	8708	619	0.0	10356	2214	0.0	10043	2844	0.0	10198	1380	0.0	10044	4445	0.0	10757	4968	0.0	11157	1821	0.0	12105	1509	0.0	11172	2964	0.0	10741	1836	0.0	10870	1767	0.0	6966	8939	0.0	9526	1745	0.0	10494	1686	0.0	9674	4605	0.0	9192	8207	0.0	10809	1690	0.0	10303	2379	0.0	9116	1654	0.0	10468	1075	0.0	10730	2298	0.0	11606	2156	0.0	10326	909	0.0	9547	4943	0.0	8822	2114	0.0	10664	2798	0.0	10350	2063	0.0	9531	2535	0.0	9949	2504	0.0	10538	938	0.0	10812	2213	0.0	10451	2155	0.0	11277	2549	0.0	11388	3041	0.0	6753	6808	0.0	12480	1965	0.0	10450	2312	0.0	9577	3918	0.0	10224	1299	0.0	10281	2323	0.0	8247	7806	0.0	11574	1951	0.0
+90	cg13371836	5663	215	0.0	5237	213	0.0	5741	248	0.0	6222	211	0.0	10252	452	0.0	12095	497	0.0	2634	171	0.0	2994	209	0.0	2815	116	0.0	3492	183	0.0	6782	261	0.0	8845	371	0.0	15226	548	0.0	15937	494	0.0	17925	638	0.0	16484	590	0.0	15361	735	0.0	16548	725	0.0	12679	466	0.0	15335	400	0.0	16706	513	0.0	14887	537	0.0	15044	663	0.0	15169	710	0.0	13945	517	0.0	13869	483	0.0	14157	522	0.0	14761	506	0.0	15875	512	0.0	16710	477	0.0	13815	306	0.0	15037	406	0.0	14150	399	0.0	15525	456	0.0	14373	452	0.0	16766	384	0.0	14291	654	0.0	16422	956	0.0	15650	786	0.0	14322	790	0.0	16083	684	0.0	13241	631	0.0	13603	638	0.0	14527	787	0.0	15544	643	0.0	16929	654	0.0	15549	769	0.0	14836	663	0.0	12515	532	0.0	15004	613	0.0	15211	598	0.0	16701	658	0.0	16781	667	0.0	13902	593	0.0	11608	389	0.0	15356	569	0.0	14633	530	0.0	13527	573	0.0	13836	617	0.0	15465	572	0.0	13254	721	0.0	14408	587	0.0	14343	613	0.0	15610	655	0.0	12031	598	0.0	16650	753	0.0	13806	587	0.0	14198	738	0.0	13350	579	0.0	13368	721	0.0	14865	701	0.0	15433	632	0.0
+91	cg04407431	4328	217	0.0	3665	287	0.0	4232	234	0.0	4437	433	0.0	8011	691	0.0	9983	661	0.0	2138	198	0.0	2358	207	0.0	2256	175	0.0	2527	163	0.0	5581	559	0.0	8740	873	0.0	12387	575	0.0	14532	842	0.0	15813	496	0.0	13677	552	0.0	13107	594	0.0	14943	610	0.0	9489	312	0.0	13102	485	0.0	13205	651	0.0	13073	578	0.0	13425	623	0.0	13485	561	0.0	11349	516	0.0	10822	530	0.0	12955	530	0.0	13017	420	0.0	13745	600	0.0	14691	706	0.0	10763	364	0.0	12658	504	0.0	11986	506	0.0	13382	491	0.0	12324	531	0.0	14452	602	0.0	12047	528	0.0	12232	528	0.0	12913	596	0.0	11893	404	0.0	12552	743	0.0	10394	919	0.0	10925	433	0.0	11980	615	0.0	12123	638	0.0	14061	674	0.0	11576	557	0.0	11762	618	0.0	9825	351	0.0	10925	435	0.0	12638	515	0.0	13704	466	0.0	13100	422	0.0	11099	509	0.0	9238	292	0.0	13018	493	0.0	12233	433	0.0	10697	522	0.0	11007	451	0.0	11757	682	0.0	11373	407	0.0	11733	412	0.0	11774	536	0.0	12146	549	0.0	9178	444	0.0	12901	574	0.0	11101	431	0.0	11487	463	0.0	11581	508	0.0	11269	494	0.0	13024	689	0.0	11897	577	0.0
+92	cg13565718	335	1316	0.0	163	1587	0.0	361	1877	0.0	341	2106	0.0	439	3813	0.0	670	5196	0.0	253	1060	0.0	281	1109	0.0	219	854	0.0	256	1336	0.0	537	3157	0.0	639	4883	0.0	1093	4695	0.0	650	5035	0.0	1188	4924	0.0	997	4961	0.0	1183	4752	0.0	1058	5552	0.0	883	3302	0.0	974	4832	0.0	938	4829	0.0	903	5532	0.0	941	5115	0.0	1207	5443	0.0	769	3679	0.0	726	3959	0.0	815	4067	0.0	805	4558	0.0	897	4320	0.0	1061	4192	0.0	781	3564	0.0	744	3444	0.0	811	3708	0.0	651	4001	0.0	671	4051	0.0	890	4253	0.0	990	3786	0.0	1053	4291	0.0	1016	4123	0.0	953	4018	0.0	1060	4191	0.0	1014	4570	0.0	808	3516	0.0	1023	4193	0.0	891	4684	0.0	1045	4999	0.0	964	5075	0.0	817	5514	0.0	817	3658	0.0	739	4510	0.0	815	3835	0.0	933	4139	0.0	1006	4787	0.0	963	4385	0.0	780	3049	0.0	828	3955	0.0	802	4054	0.0	908	4362	0.0	952	4582	0.0	863	4793	0.0	1009	3318	0.0	1039	4323	0.0	1084	4192	0.0	928	4637	0.0	702	3383	0.0	915	4814	0.0	944	3561	0.0	1024	4086	0.0	794	4137	0.0	1006	4525	0.0	815	5201	0.0	904	4666	0.0
+93	cg01097950	945	2084	0.0	750	2721	0.0	1283	2811	0.0	1424	3090	0.0	3024	5924	0.0	3011	7560	0.0	789	1221	0.0	701	1267	0.0	610	1124	0.0	756	1937	0.0	1880	5035	0.0	2899	7095	0.0	5214	5456	0.0	5358	6627	0.0	5892	6173	0.0	5225	7563	0.0	4954	6508	0.0	5785	7226	0.0	3904	5284	0.0	4597	6679	0.0	4681	6497	0.0	5481	7801	0.0	4542	8544	0.0	6240	8011	0.0	4612	5462	0.0	4194	5196	0.0	4871	6139	0.0	4627	5945	0.0	4981	6855	0.0	5377	7579	0.0	3201	4757	0.0	5077	5568	0.0	4610	5680	0.0	5036	5814	0.0	5084	6267	0.0	5703	7603	0.0	4635	4848	0.0	5559	5336	0.0	4722	6644	0.0	4509	6130	0.0	4802	6511	0.0	5051	6825	0.0	4225	4966	0.0	4753	5844	0.0	5593	6031	0.0	5322	7638	0.0	4927	7037	0.0	5041	7920	0.0	4285	4841	0.0	4501	5816	0.0	5126	6066	0.0	5120	6853	0.0	4704	6749	0.0	3923	6559	0.0	4009	4733	0.0	5279	5911	0.0	5024	5761	0.0	4481	6138	0.0	4412	6972	0.0	4285	7541	0.0	4296	4943	0.0	4965	5165	0.0	4834	5943	0.0	4830	6344	0.0	4085	5750	0.0	5641	6556	0.0	4680	5091	0.0	4147	5540	0.0	3970	6073	0.0	4768	6344	0.0	5475	6348	0.0	4652	6104	0.0
+94	cg08900511	1530	2935	0.0	926	4201	0.0	1417	3205	0.0	1639	3765	0.0	2791	6416	0.0	2773	9716	0.0	699	1585	0.0	841	1590	0.0	1096	1399	0.0	889	2283	0.0	2894	5733	0.0	3194	8713	0.0	4604	7036	0.0	5163	8492	0.0	6247	7510	0.0	5747	8885	0.0	5269	8255	0.0	5495	8360	0.0	3344	5488	0.0	4500	7812	0.0	5583	7904	0.0	4430	7706	0.0	4561	10290	0.0	5606	9843	0.0	4544	5809	0.0	4383	5841	0.0	4826	6808	0.0	4434	6694	0.0	4322	7336	0.0	5417	7834	0.0	2739	5455	0.0	4957	5596	0.0	4274	6091	0.0	3674	6411	0.0	4803	7485	0.0	5408	7607	0.0	4919	6355	0.0	5276	6650	0.0	4715	6562	0.0	4649	7370	0.0	4527	7585	0.0	4985	8322	0.0	4118	5787	0.0	4481	6779	0.0	4899	7255	0.0	6143	7523	0.0	4609	8545	0.0	5039	8664	0.0	4799	5707	0.0	4012	6696	0.0	6114	6630	0.0	5108	7876	0.0	4718	8222	0.0	4865	7260	0.0	4099	5595	0.0	5395	7137	0.0	5911	6831	0.0	5642	7138	0.0	5166	7165	0.0	4168	9054	0.0	4726	5970	0.0	5349	5878	0.0	6061	6502	0.0	4629	7220	0.0	4241	6857	0.0	5166	7549	0.0	5419	5960	0.0	3997	6927	0.0	4850	6444	0.0	5323	7642	0.0	7150	7064	0.0	4872	7548	0.0
+95	cg04410003	164	474	0.0	157	485	0.0	195	810	0.0	264	1091	0.0	400	2208	0.0	605	2486	0.0	139	453	0.0	153	539	0.0	143	358	0.0	137	904	0.0	392	1505	0.0	479	2666	0.0	494	3324	0.0	526	2833	0.0	679	1950	0.0	743	3414	0.0	854	2980	0.0	772	3134	0.0	399	2894	0.0	750	3292	0.0	631	4096	0.0	603	4628	0.0	625	3672	0.0	669	3982	0.0	566	2087	0.0	647	2313	0.0	756	2477	0.0	568	2516	0.0	506	2382	0.0	720	2476	0.0	421	2030	0.0	645	2348	0.0	606	2195	0.0	556	3048	0.0	608	4164	0.0	611	3786	0.0	687	2233	0.0	635	3051	0.0	638	3309	0.0	704	4102	0.0	892	3397	0.0	983	3572	0.0	489	1915	0.0	695	2940	0.0	674	2721	0.0	807	2716	0.0	636	4454	0.0	922	3710	0.0	441	2349	0.0	584	2804	0.0	566	2436	0.0	587	3217	0.0	697	3474	0.0	642	3162	0.0	408	2728	0.0	508	3314	0.0	579	2418	0.0	659	2792	0.0	572	4171	0.0	630	3484	0.0	407	2359	0.0	484	2293	0.0	567	2596	0.0	492	4506	0.0	493	2976	0.0	515	3826	0.0	372	2411	0.0	452	2173	0.0	448	1786	0.0	487	4148	0.0	724	2735	0.0	626	2764	0.0
+96	cg18762746	368	1412	0.0	401	1190	0.0	432	2307	0.0	589	2294	0.0	767	4499	0.0	780	4840	0.0	332	1225	0.0	338	1245	0.0	433	983	0.0	295	1727	0.0	816	3185	0.0	832	4368	0.0	1942	11391	0.0	1821	9714	0.0	1809	6777	0.0	1709	11590	0.0	2216	10518	0.0	1753	11373	0.0	783	10454	0.0	1840	11651	0.0	1792	12265	0.0	1681	13010	0.0	1829	13120	0.0	1916	13941	0.0	1843	10250	0.0	1700	10160	0.0	1552	10193	0.0	1148	10619	0.0	1239	10122	0.0	1708	9325	0.0	844	10033	0.0	1835	10516	0.0	1271	10010	0.0	1373	11431	0.0	1501	14174	0.0	1403	13348	0.0	1553	9305	0.0	1548	11908	0.0	1751	12857	0.0	1840	12940	0.0	1591	10360	0.0	1839	10670	0.0	1529	7835	0.0	1507	11423	0.0	1723	10904	0.0	1762	10143	0.0	1493	13017	0.0	1960	11151	0.0	1719	10930	0.0	1723	10714	0.0	2561	10866	0.0	1697	10475	0.0	1614	11660	0.0	2114	10556	0.0	950	10800	0.0	1745	11920	0.0	1667	9760	0.0	1741	10260	0.0	1717	12618	0.0	1214	11198	0.0	1561	10233	0.0	1523	10222	0.0	1941	11714	0.0	1391	14778	0.0	1337	10808	0.0	1656	14276	0.0	1487	9463	0.0	2066	8850	0.0	1623	7721	0.0	1654	11925	0.0	2190	10618	0.0	1299	10253	0.0
+97	cg12726839	598	161	0.0	655	251	0.0	652	263	0.0	1020	321	0.0	2233	789	0.0	639	404	0.0	311	161	0.0	570	159	0.0	496	148	0.0	565	293	0.0	1647	446	0.0	2433	1204	0.0	4564	908	0.0	5240	1235	0.0	3731	659	0.0	1929	508	0.0	2336	474	0.0	2263	535	0.0	2507	1151	0.0	3169	1160	0.0	4606	1548	0.0	5026	1517	0.0	3772	1291	0.0	3549	859	0.0	3087	479	0.0	3155	571	0.0	3478	556	0.0	2188	605	0.0	2391	584	0.0	2319	541	0.0	479	238	0.0	2959	379	0.0	3394	535	0.0	3080	763	0.0	3922	1089	0.0	4445	992	0.0	1571	417	0.0	1763	505	0.0	3458	699	0.0	3459	823	0.0	1523	571	0.0	1345	606	0.0	1179	439	0.0	1638	521	0.0	2531	636	0.0	1500	649	0.0	2978	907	0.0	1958	899	0.0	2282	482	0.0	1789	433	0.0	2831	488	0.0	4482	1382	0.0	1646	482	0.0	1951	530	0.0	3151	987	0.0	4965	936	0.0	3092	580	0.0	2912	595	0.0	3296	1065	0.0	641	353	0.0	3268	868	0.0	1543	398	0.0	2750	495	0.0	5394	1674	0.0	1527	379	0.0	3916	1122	0.0	4088	652	0.0	2484	482	0.0	1845	494	0.0	3960	1075	0.0	2579	598	0.0	1400	498	0.0
+98	cg04364728	3905	1077	0.0	2952	1604	0.0	3250	807	0.0	3954	1120	0.0	6726	1988	0.0	8013	1959	0.0	1815	344	0.0	1904	365	0.0	1773	496	0.0	1963	756	0.0	5006	1479	0.0	7147	2706	0.0	11501	1795	0.0	12204	2498	0.0	12787	2813	0.0	12253	1944	0.0	12538	2237	0.0	11872	1895	0.0	9444	2180	0.0	10651	1905	0.0	11151	2486	0.0	11633	2721	0.0	11634	3162	0.0	12487	2051	0.0	9802	1541	0.0	9196	1435	0.0	10637	2040	0.0	10483	1781	0.0	10146	2189	0.0	12630	2489	0.0	8956	1505	0.0	10901	1646	0.0	10251	1512	0.0	10827	1629	0.0	11110	2159	0.0	11752	2100	0.0	10439	1682	0.0	11226	1784	0.0	11724	1923	0.0	10375	2254	0.0	11232	2513	0.0	9574	1857	0.0	9669	1675	0.0	9875	1991	0.0	10525	2017	0.0	12219	2752	0.0	10336	2193	0.0	10316	2494	0.0	9875	1331	0.0	9989	1656	0.0	10569	1936	0.0	12621	2278	0.0	12211	1692	0.0	10605	2125	0.0	8539	1524	0.0	11702	1875	0.0	11437	2141	0.0	10127	2153	0.0	10189	2131	0.0	10311	2050	0.0	10340	2095	0.0	10317	1823	0.0	11011	1712	0.0	11026	2373	0.0	9063	1778	0.0	11341	2116	0.0	10319	1683	0.0	10560	1931	0.0	10285	1589	0.0	10472	2348	0.0	11525	2619	0.0	11022	1687	0.0
+99	cg05151709	1731	4203	0.0	2444	4299	0.0	1963	4722	0.0	2604	5522	0.0	4493	8515	0.0	4595	11895	0.0	1052	2034	0.0	1167	1878	0.0	1298	1894	0.0	1194	2746	0.0	3975	6975	0.0	5180	11102	0.0	7662	8485	0.0	8063	9042	0.0	10052	9137	0.0	7412	10512	0.0	8136	9979	0.0	7923	10551	0.0	6189	7448	0.0	6520	8804	0.0	8600	9439	0.0	7881	10481	0.0	8732	11228	0.0	8159	11044	0.0	6779	8168	0.0	7909	8406	0.0	6662	9146	0.0	5794	8324	0.0	7347	10024	0.0	7483	10386	0.0	3958	7379	0.0	8095	7280	0.0	7205	8530	0.0	7085	8835	0.0	5746	9709	0.0	9113	9897	0.0	6172	8211	0.0	7225	8415	0.0	6675	9094	0.0	7621	9441	0.0	6658	10001	0.0	8155	9933	0.0	6567	7752	0.0	6207	9555	0.0	6580	9350	0.0	9350	9572	0.0	7345	9935	0.0	7323	11253	0.0	6166	7091	0.0	5822	8485	0.0	8382	8463	0.0	8974	9590	0.0	6647	10359	0.0	6458	10476	0.0	5932	7217	0.0	7674	8320	0.0	7341	8510	0.0	7723	9064	0.0	6364	9705	0.0	5759	11762	0.0	7962	7235	0.0	6529	8523	0.0	7608	8793	0.0	7049	9570	0.0	5548	9151	0.0	7809	9672	0.0	7413	7284	0.0	7598	8575	0.0	7556	8062	0.0	7579	8942	0.0	9771	8458	0.0	7688	9685	0.0
+100	cg08546707	3132	3223	0.0	1922	3901	0.0	2677	3589	0.0	3040	3428	0.0	5502	5775	0.0	6150	9222	0.0	1333	1495	0.0	1593	1317	0.0	1723	1220	0.0	1647	2261	0.0	4911	4827	0.0	6437	8028	0.0	8747	6613	0.0	10217	7303	0.0	12328	6612	0.0	10059	6759	0.0	9937	6999	0.0	10616	7552	0.0	6732	5907	0.0	7974	6570	0.0	9392	6820	0.0	9903	7809	0.0	9830	8827	0.0	10513	7682	0.0	8840	5145	0.0	9125	5270	0.0	10007	6456	0.0	8431	5962	0.0	9624	7814	0.0	10589	7968	0.0	5853	6278	0.0	9580	5437	0.0	9727	5887	0.0	9459	6686	0.0	8182	6475	0.0	11196	6983	0.0	8156	5337	0.0	9245	5831	0.0	9186	7266	0.0	8572	6216	0.0	8074	7499	0.0	8744	6378	0.0	8054	5613	0.0	7129	6827	0.0	8688	6245	0.0	9715	7756	0.0	8014	7280	0.0	8775	7396	0.0	8131	4830	0.0	7923	5957	0.0	9896	5585	0.0	10228	6702	0.0	8970	7490	0.0	8403	6586	0.0	6651	4764	0.0	9289	6681	0.0	9857	5903	0.0	9408	5475	0.0	8320	6371	0.0	7692	7845	0.0	8376	5400	0.0	7270	6149	0.0	9819	5586	0.0	7802	6862	0.0	7041	6191	0.0	8930	6651	0.0	8944	4812	0.0	8671	5742	0.0	8486	5210	0.0	8250	6100	0.0	10184	5918	0.0	8380	6377	0.0
+101	cg06154531	2570	1670	0.0	1246	3491	0.0	2489	2143	0.0	3093	1666	0.0	5667	2240	0.0	6043	4796	0.0	1388	845	0.0	1499	784	0.0	1454	692	0.0	1657	1164	0.0	3750	3773	0.0	5536	4569	0.0	9551	2866	0.0	10382	3422	0.0	10572	4556	0.0	10069	3938	0.0	9716	4074	0.0	9902	4382	0.0	7269	3420	0.0	8872	3562	0.0	9126	3992	0.0	9728	3655	0.0	8358	7321	0.0	10525	4469	0.0	7698	2736	0.0	7908	3079	0.0	8322	3042	0.0	7654	3315	0.0	7900	4780	0.0	9152	3874	0.0	6542	3271	0.0	8049	3330	0.0	8081	2842	0.0	8290	2682	0.0	8595	2332	0.0	9618	3111	0.0	9130	2950	0.0	9663	3321	0.0	10037	3260	0.0	9239	3315	0.0	9140	4637	0.0	8595	4600	0.0	8201	3047	0.0	8517	4061	0.0	9049	3145	0.0	9290	5593	0.0	8726	4391	0.0	9013	4754	0.0	7982	2405	0.0	8377	3507	0.0	9812	3360	0.0	9945	3271	0.0	9963	4043	0.0	9023	3574	0.0	7824	2385	0.0	9561	3570	0.0	8562	3399	0.0	8715	3780	0.0	8478	3106	0.0	8822	4730	0.0	9511	3453	0.0	9135	3667	0.0	9764	3288	0.0	9475	3044	0.0	8052	3765	0.0	11186	3634	0.0	9452	2840	0.0	8599	4160	0.0	9788	3031	0.0	8547	3762	0.0	9899	4565	0.0	9046	4215	0.0
+102	cg01782097	4319	488	0.0	2875	1605	0.0	4012	558	0.0	4821	346	0.0	8824	582	0.0	9119	990	0.0	2184	178	0.0	2030	282	0.0	2169	297	0.0	2765	364	0.0	5279	797	0.0	8783	1678	0.0	13131	1625	0.0	13724	1634	0.0	14803	2497	0.0	13269	1866	0.0	12609	2601	0.0	13333	1750	0.0	10685	2389	0.0	12497	1852	0.0	13369	3023	0.0	13121	1939	0.0	11859	7101	0.0	13403	2584	0.0	11403	1419	0.0	11829	1383	0.0	11635	1632	0.0	11251	1271	0.0	11296	4081	0.0	13776	1886	0.0	9492	1263	0.0	11661	2648	0.0	11461	1245	0.0	12836	1667	0.0	12567	1653	0.0	13602	2564	0.0	11941	2131	0.0	14031	2374	0.0	14133	2091	0.0	13333	1874	0.0	12737	2395	0.0	12210	2503	0.0	11615	1508	0.0	12062	1915	0.0	12437	1623	0.0	13852	4749	0.0	13802	2814	0.0	12034	2705	0.0	11299	1531	0.0	11985	1574	0.0	12717	1818	0.0	14026	2614	0.0	13092	1621	0.0	12708	1810	0.0	11038	1027	0.0	14085	2629	0.0	12667	1807	0.0	11829	1876	0.0	11923	1966	0.0	12219	1732	0.0	12865	2893	0.0	12343	1632	0.0	12468	1501	0.0	14099	1928	0.0	11336	1658	0.0	15201	1847	0.0	12946	1994	0.0	12084	3743	0.0	12020	1469	0.0	12051	2542	0.0	13422	2439	0.0	12915	2094	0.0
+103	cg20825023	5214	903	0.0	3563	3773	0.0	4667	1390	0.0	4924	609	0.0	9572	1235	0.0	9925	1904	0.0	2397	340	0.0	2392	341	0.0	2467	433	0.0	2908	378	0.0	7615	2266	0.0	9863	4141	0.0	14460	1244	0.0	15275	1292	0.0	16411	2369	0.0	15455	1342	0.0	15695	1988	0.0	15675	1548	0.0	12250	1976	0.0	13260	1651	0.0	13827	2752	0.0	14499	1768	0.0	13686	6327	0.0	15734	2235	0.0	12839	1279	0.0	13488	1105	0.0	14000	1487	0.0	13396	1063	0.0	12816	3336	0.0	16746	1505	0.0	11953	1177	0.0	13431	2150	0.0	14492	1247	0.0	14253	1438	0.0	15190	1099	0.0	14319	2088	0.0	13481	1788	0.0	15746	1874	0.0	14869	1329	0.0	14694	1596	0.0	14177	2150	0.0	13728	2805	0.0	13100	1597	0.0	13774	1695	0.0	15158	1080	0.0	15393	3735	0.0	14499	2128	0.0	13924	2888	0.0	12450	1166	0.0	13123	1634	0.0	14479	1624	0.0	14910	2088	0.0	14613	1279	0.0	14959	2052	0.0	11546	1062	0.0	14032	1910	0.0	13446	1789	0.0	12703	1677	0.0	12968	1814	0.0	13533	1456	0.0	13070	2456	0.0	14450	1345	0.0	14466	1223	0.0	14082	1670	0.0	12720	1424	0.0	15060	1320	0.0	13485	1674	0.0	13056	3050	0.0	13077	1301	0.0	13136	2316	0.0	14373	2336	0.0	14623	1500	0.0
+104	cg12549180	1090	4566	0.0	1586	3979	0.0	1169	4529	0.0	1339	5175	0.0	2798	8833	0.0	3515	11270	0.0	616	2233	0.0	615	2072	0.0	655	2241	0.0	710	3398	0.0	2249	8207	0.0	2834	12034	0.0	3969	9120	0.0	4176	10825	0.0	4653	10599	0.0	3606	10750	0.0	4474	9401	0.0	4685	10552	0.0	3560	7881	0.0	3870	9092	0.0	3770	10681	0.0	3754	11976	0.0	5888	11339	0.0	4703	11702	0.0	3327	8578	0.0	3322	9253	0.0	4244	9441	0.0	3687	9417	0.0	4475	9640	0.0	4459	11167	0.0	2894	7954	0.0	4921	8731	0.0	3856	9477	0.0	3754	9263	0.0	3692	10683	0.0	3790	10573	0.0	4086	8514	0.0	4806	8860	0.0	3968	8877	0.0	3127	10052	0.0	3895	10704	0.0	3758	10813	0.0	3756	7701	0.0	3781	8773	0.0	3735	10196	0.0	5406	10235	0.0	4044	10947	0.0	3743	11481	0.0	3581	7513	0.0	3936	8787	0.0	3975	9559	0.0	4344	9852	0.0	4373	10192	0.0	3379	10640	0.0	2816	7506	0.0	4186	9881	0.0	3917	9732	0.0	3436	10594	0.0	2909	10599	0.0	3533	10864	0.0	3425	7377	0.0	3984	9086	0.0	4055	9000	0.0	3757	10317	0.0	2688	9417	0.0	3950	10929	0.0	3718	8193	0.0	3725	8225	0.0	3470	9334	0.0	3512	9575	0.0	4514	10299	0.0	4328	10091	0.0
+105	cg11851804	1890	299	0.0	1479	284	0.0	1758	314	0.0	1921	419	0.0	3182	646	0.0	3615	868	0.0	979	217	0.0	995	226	0.0	1049	252	0.0	1325	635	0.0	2914	1061	0.0	3746	1884	0.0	6486	1200	0.0	7229	1502	0.0	7067	1290	0.0	6657	1072	0.0	6586	995	0.0	6712	847	0.0	5478	997	0.0	6697	1436	0.0	6179	1756	0.0	7088	2163	0.0	7019	859	0.0	6789	1292	0.0	4964	733	0.0	5635	890	0.0	5565	978	0.0	5937	726	0.0	6024	833	0.0	6509	958	0.0	4887	720	0.0	5810	707	0.0	5566	812	0.0	5662	958	0.0	5775	1322	0.0	6366	1346	0.0	5695	832	0.0	6445	910	0.0	5973	1221	0.0	5440	1269	0.0	6014	1271	0.0	5839	1812	0.0	4893	594	0.0	5947	844	0.0	5821	1175	0.0	6543	1147	0.0	6186	1200	0.0	5816	1149	0.0	5826	841	0.0	6164	763	0.0	6231	973	0.0	6410	1060	0.0	6328	707	0.0	5172	1194	0.0	4713	1087	0.0	6061	1485	0.0	5749	1099	0.0	5572	985	0.0	5717	1421	0.0	6201	886	0.0	6094	1024	0.0	6152	852	0.0	6275	914	0.0	6002	1429	0.0	4753	1210	0.0	6175	1421	0.0	6222	973	0.0	5732	839	0.0	5218	769	0.0	5557	1621	0.0	6145	1458	0.0	6516	1021	0.0
+106	cg06623778	2355	1237	0.0	2226	1008	0.0	2543	1198	0.0	2665	1813	0.0	4703	3445	0.0	5690	2766	0.0	1333	625	0.0	1282	889	0.0	1332	854	0.0	1544	1653	0.0	3609	3610	0.0	4467	6171	0.0	8134	4259	0.0	8693	5799	0.0	9631	4124	0.0	8678	4211	0.0	9175	3195	0.0	9755	2752	0.0	6709	3595	0.0	8034	4750	0.0	7546	5704	0.0	6897	7222	0.0	10103	3577	0.0	8404	4079	0.0	7214	3335	0.0	7630	3402	0.0	7763	3290	0.0	8084	3234	0.0	8858	2882	0.0	10088	3022	0.0	6351	3409	0.0	8172	2506	0.0	7304	3417	0.0	7387	3646	0.0	6842	4671	0.0	8183	5173	0.0	8140	2980	0.0	8938	3097	0.0	7866	4707	0.0	7001	5105	0.0	7659	4783	0.0	6637	6202	0.0	7721	1595	0.0	7738	2853	0.0	7654	5061	0.0	8573	3957	0.0	7590	4324	0.0	7921	3804	0.0	6935	3042	0.0	7600	2854	0.0	8019	3886	0.0	8638	4248	0.0	8756	3178	0.0	6593	4382	0.0	6031	3927	0.0	7039	5222	0.0	7305	4709	0.0	7782	4454	0.0	6551	5632	0.0	7801	3620	0.0	6449	4190	0.0	8238	3361	0.0	8447	3312	0.0	7167	5815	0.0	5617	4488	0.0	8273	5416	0.0	7662	3905	0.0	7551	3190	0.0	7068	3393	0.0	6653	5590	0.0	8049	4841	0.0	8152	3488	0.0
+107	cg14528386	1734	1217	0.0	2426	1013	0.0	2099	1189	0.0	2265	1681	0.0	3720	3196	0.0	6024	3178	0.0	957	642	0.0	917	772	0.0	1094	778	0.0	1090	1299	0.0	4474	2724	0.0	4146	4863	0.0	3998	4142	0.0	4717	5192	0.0	5283	4165	0.0	5316	4178	0.0	5272	3560	0.0	6295	3524	0.0	3732	3792	0.0	4584	4612	0.0	4672	5162	0.0	4402	6322	0.0	6726	3668	0.0	5832	4773	0.0	3992	3118	0.0	3998	3172	0.0	4693	3155	0.0	4593	3306	0.0	4997	2729	0.0	6198	3200	0.0	3050	2790	0.0	4632	2627	0.0	4332	3317	0.0	4300	3681	0.0	3629	4350	0.0	4293	4683	0.0	4355	2738	0.0	4542	3188	0.0	4108	4128	0.0	3778	4488	0.0	4900	4004	0.0	4787	5071	0.0	4004	2350	0.0	4870	3059	0.0	4067	4331	0.0	5799	4084	0.0	4837	4305	0.0	6430	3720	0.0	3895	2770	0.0	4499	3149	0.0	4511	3867	0.0	5109	4243	0.0	5043	3387	0.0	4596	4151	0.0	2651	3405	0.0	3523	4387	0.0	4375	4094	0.0	4769	4093	0.0	4067	5130	0.0	5486	3664	0.0	3301	3353	0.0	4328	2995	0.0	4371	3360	0.0	3220	4929	0.0	3035	3753	0.0	4366	4439	0.0	3642	3476	0.0	4084	3009	0.0	4391	3360	0.0	4216	4813	0.0	5063	4732	0.0	5144	3353	0.0
+108	cg17436295	4337	2740	0.0	3032	2675	0.0	3736	2697	0.0	4027	2735	0.0	6597	4714	0.0	8673	5818	0.0	1780	1304	0.0	1653	1413	0.0	1802	1595	0.0	2197	1820	0.0	5101	2895	0.0	5401	6288	0.0	9389	10254	0.0	9370	11751	0.0	9986	12753	0.0	9402	12037	0.0	10549	12030	0.0	10746	10997	0.0	7412	9477	0.0	8038	10906	0.0	7666	11494	0.0	7416	11700	0.0	9089	12394	0.0	10268	11587	0.0	7608	8890	0.0	8425	9455	0.0	9332	9583	0.0	9089	9763	0.0	9532	9476	0.0	10544	10892	0.0	7171	9345	0.0	9293	10306	0.0	8833	9666	0.0	9214	10721	0.0	8397	11464	0.0	8614	13056	0.0	9405	10841	0.0	10355	11370	0.0	10182	11588	0.0	9104	12578	0.0	8766	11508	0.0	7958	11396	0.0	9532	8969	0.0	10496	9929	0.0	8548	11532	0.0	9826	12807	0.0	9847	11682	0.0	9709	9951	0.0	8277	8791	0.0	9629	9604	0.0	9472	11021	0.0	9884	11434	0.0	10872	10643	0.0	8301	11673	0.0	6636	9136	0.0	8178	11683	0.0	7879	10774	0.0	8632	10373	0.0	7838	11584	0.0	9364	10552	0.0	7539	10348	0.0	9579	9864	0.0	9980	9734	0.0	8383	12400	0.0	7445	10895	0.0	9438	12252	0.0	8532	10031	0.0	8265	10438	0.0	8719	9146	0.0	7284	10767	0.0	9198	11538	0.0	10674	11143	0.0
+109	cg18865112	6674	2302	0.0	3829	4082	0.0	5598	2203	0.0	6586	2491	0.0	11965	3621	0.0	12611	5575	0.0	3231	1047	0.0	2992	1225	0.0	3419	1164	0.0	3550	1384	0.0	8242	3118	0.0	11161	5607	0.0	17978	9831	0.0	17931	11108	0.0	19966	13208	0.0	17967	11416	0.0	18251	11626	0.0	18815	12348	0.0	14609	9618	0.0	15178	10012	0.0	16756	12578	0.0	16999	12568	0.0	15841	16677	0.0	18351	13307	0.0	15639	9894	0.0	17278	9073	0.0	17270	10099	0.0	16639	10351	0.0	17797	12662	0.0	19826	11402	0.0	14725	8286	0.0	17669	10882	0.0	16329	10965	0.0	16894	11691	0.0	16493	11301	0.0	18156	13399	0.0	16795	9808	0.0	17427	11713	0.0	17757	11932	0.0	17321	11123	0.0	16595	12082	0.0	14490	9727	0.0	15745	9610	0.0	16414	10675	0.0	16762	11874	0.0	17682	15276	0.0	16951	11705	0.0	17341	11100	0.0	14500	8130	0.0	16377	9922	0.0	16519	10916	0.0	18744	11409	0.0	18752	10947	0.0	16093	10828	0.0	12858	9218	0.0	16827	12688	0.0	16783	10876	0.0	16198	10783	0.0	15333	11618	0.0	15993	11084	0.0	14755	10904	0.0	17249	8391	0.0	16913	10120	0.0	16639	11264	0.0	14555	10347	0.0	18042	11634	0.0	15888	10057	0.0	15371	11351	0.0	16257	8779	0.0	15990	10566	0.0	17699	12092	0.0	16947	10589	0.0
+110	cg19642727	3111	5164	0.0	2055	5680	0.0	2922	4700	0.0	3215	5093	0.0	5874	8136	0.0	6422	11825	0.0	1497	1953	0.0	1421	2389	0.0	1631	2266	0.0	1610	2832	0.0	4268	7578	0.0	6346	10689	0.0	9612	8143	0.0	9722	9192	0.0	9062	9133	0.0	9587	10101	0.0	8712	10366	0.0	9409	10121	0.0	7893	7421	0.0	9075	8267	0.0	9636	10000	0.0	8734	9727	0.0	7543	12038	0.0	9626	11076	0.0	7158	8308	0.0	7791	8851	0.0	8332	8475	0.0	8170	8957	0.0	8683	10086	0.0	9965	10062	0.0	7680	6673	0.0	8116	8626	0.0	8207	9312	0.0	9566	8737	0.0	8606	9241	0.0	8949	8829	0.0	9036	7210	0.0	10838	8003	0.0	11167	8315	0.0	9682	8793	0.0	9504	9450	0.0	8471	10902	0.0	8004	7737	0.0	9493	7720	0.0	8169	9599	0.0	8818	10219	0.0	9780	9569	0.0	8230	11755	0.0	7602	7819	0.0	7737	8517	0.0	9177	9397	0.0	10050	9727	0.0	8498	9348	0.0	9337	10401	0.0	7585	6857	0.0	9702	7795	0.0	8070	9600	0.0	8715	9403	0.0	9163	10222	0.0	8955	10854	0.0	9085	7903	0.0	9565	8334	0.0	9164	9066	0.0	10480	9116	0.0	8323	10008	0.0	11157	9550	0.0	8991	7446	0.0	9324	9027	0.0	8038	9461	0.0	8941	9559	0.0	9206	9594	0.0	9459	9468	0.0
+111	cg21407818	1931	5045	0.0	887	5941	0.0	1277	5274	0.0	1476	5824	0.0	2680	10096	0.0	3152	12744	0.0	703	2423	0.0	756	2506	0.0	768	2730	0.0	829	3509	0.0	2656	8828	0.0	3194	12418	0.0	4080	9717	0.0	4253	11090	0.0	5183	10924	0.0	4273	13058	0.0	4096	11988	0.0	3931	12342	0.0	3825	8610	0.0	4300	10490	0.0	4574	11364	0.0	4218	11848	0.0	4807	13262	0.0	4325	12803	0.0	3351	10001	0.0	3535	9867	0.0	3651	10060	0.0	3538	10146	0.0	4042	11782	0.0	4509	12665	0.0	2664	8212	0.0	3962	10099	0.0	3583	10865	0.0	4481	10086	0.0	4089	11313	0.0	4417	11913	0.0	4148	9214	0.0	4558	9777	0.0	5185	10599	0.0	4055	11387	0.0	4182	11295	0.0	3410	12354	0.0	4237	8627	0.0	3925	9376	0.0	4156	11014	0.0	4060	12072	0.0	3979	11322	0.0	3722	13883	0.0	3239	8815	0.0	3507	10024	0.0	4122	10719	0.0	4841	11143	0.0	3850	11928	0.0	3708	12424	0.0	3105	8001	0.0	4575	10037	0.0	3907	11298	0.0	3818	11637	0.0	3095	10304	0.0	3720	12377	0.0	4078	9056	0.0	3953	9719	0.0	4346	10754	0.0	4001	10800	0.0	3110	10883	0.0	4194	12040	0.0	4076	9107	0.0	3756	10422	0.0	3541	11064	0.0	3936	11283	0.0	4177	12704	0.0	3470	11534	0.0
+112	cg22226438	3151	881	0.0	2230	2337	0.0	2711	1251	0.0	3534	999	0.0	5892	1723	0.0	7495	2350	0.0	1496	313	0.0	1182	371	0.0	1536	596	0.0	2303	540	0.0	2936	1464	0.0	7032	2371	0.0	8801	2580	0.0	10229	2178	0.0	10196	3746	0.0	9597	3630	0.0	9614	3535	0.0	10408	3280	0.0	8049	4011	0.0	10617	2845	0.0	10170	4431	0.0	9670	3525	0.0	5288	7496	0.0	6372	3602	0.0	5277	1992	0.0	6271	1769	0.0	7029	2098	0.0	8626	2558	0.0	8374	4289	0.0	9550	2961	0.0	9254	2240	0.0	6385	3346	0.0	5841	1961	0.0	10090	2777	0.0	9469	2049	0.0	9744	2799	0.0	8507	2733	0.0	9106	2991	0.0	10946	2901	0.0	8329	2935	0.0	9212	2673	0.0	6404	2499	0.0	7995	3033	0.0	9932	3289	0.0	6308	1971	0.0	8903	6111	0.0	10615	3313	0.0	6054	1946	0.0	5477	1837	0.0	8473	2680	0.0	7106	2266	0.0	10648	3293	0.0	6989	2070	0.0	7928	3000	0.0	7720	2028	0.0	10091	3155	0.0	5581	2294	0.0	5733	2838	0.0	8043	2137	0.0	9329	3515	0.0	8420	4013	0.0	9425	1910	0.0	6386	2374	0.0	11088	2579	0.0	5604	1516	0.0	11565	2880	0.0	8885	3129	0.0	8101	4119	0.0	5870	1563	0.0	8809	3108	0.0	5977	2980	0.0	9976	3121	0.0
+113	cg08029603	2616	1792	0.0	1929	2988	0.0	2246	2425	0.0	3308	2363	0.0	5661	3781	0.0	6852	5646	0.0	1450	898	0.0	1694	925	0.0	1496	1082	0.0	1810	1149	0.0	4378	4378	0.0	5870	6010	0.0	10443	4075	0.0	12532	5214	0.0	11827	6664	0.0	10806	5771	0.0	10496	5494	0.0	11137	5225	0.0	7486	3693	0.0	10023	3778	0.0	10146	5677	0.0	10387	6773	0.0	8305	8563	0.0	11226	7418	0.0	8379	4973	0.0	8928	4447	0.0	9323	5082	0.0	10246	4269	0.0	9644	5990	0.0	12120	5870	0.0	8347	3540	0.0	9294	4707	0.0	9695	4986	0.0	10605	3776	0.0	10048	4438	0.0	11283	4903	0.0	9221	3680	0.0	9536	4165	0.0	9869	3887	0.0	8539	4853	0.0	9411	5399	0.0	8639	6558	0.0	8846	2519	0.0	9148	4321	0.0	9142	5313	0.0	10176	6496	0.0	8995	4130	0.0	8511	5811	0.0	7750	3853	0.0	9104	4028	0.0	10014	5260	0.0	12126	4593	0.0	11196	4093	0.0	8677	5416	0.0	8210	3107	0.0	10765	4723	0.0	9035	5766	0.0	9131	5513	0.0	8802	4819	0.0	9138	5205	0.0	8268	4381	0.0	9570	3734	0.0	10095	4964	0.0	9483	3628	0.0	7565	4081	0.0	10209	4070	0.0	10174	4062	0.0	8222	5033	0.0	8538	4627	0.0	8869	4555	0.0	10068	5926	0.0	9416	4405	0.0
+114	cg16347928	1799	3407	0.0	848	4703	0.0	1380	3803	0.0	1957	3455	0.0	3369	6454	0.0	3887	9166	0.0	827	1516	0.0	886	1626	0.0	903	1795	0.0	1014	2290	0.0	2914	6429	0.0	4419	8438	0.0	6340	6020	0.0	7323	6947	0.0	7071	8762	0.0	5364	8539	0.0	5676	7869	0.0	9367	5412	0.0	4707	5535	0.0	6079	6047	0.0	6161	7718	0.0	5585	8448	0.0	4907	10782	0.0	6267	9960	0.0	4381	6630	0.0	4416	6497	0.0	5227	6479	0.0	5421	6306	0.0	5799	7637	0.0	6457	8001	0.0	6596	3241	0.0	4834	6665	0.0	4662	6734	0.0	6211	6810	0.0	5681	6825	0.0	6695	7167	0.0	4842	5539	0.0	5881	6300	0.0	6486	5910	0.0	4991	6875	0.0	4796	7842	0.0	3911	8776	0.0	4216	5611	0.0	5698	5735	0.0	4472	7333	0.0	5010	8678	0.0	5837	6617	0.0	5214	8381	0.0	4373	5731	0.0	5211	6314	0.0	5509	7216	0.0	7375	7093	0.0	5783	7582	0.0	4174	8212	0.0	4824	5133	0.0	6669	6200	0.0	4087	7310	0.0	4480	7860	0.0	4794	7249	0.0	4354	8177	0.0	5201	5722	0.0	5754	5264	0.0	5209	7085	0.0	6574	5716	0.0	3824	6379	0.0	6072	6588	0.0	5278	6029	0.0	4626	6828	0.0	4727	7504	0.0	5537	6963	0.0	4713	8409	0.0	5218	6953	0.0
+115	cg22699361	3930	1565	0.0	2491	1857	0.0	3318	1388	0.0	4468	1092	0.0	7536	1936	0.0	8302	2411	0.0	2042	425	0.0	1967	752	0.0	2154	707	0.0	2406	580	0.0	4718	2163	0.0	7758	2832	0.0	11694	3315	0.0	12119	3243	0.0	12295	6761	0.0	11373	4754	0.0	11761	5585	0.0	12273	5037	0.0	9772	3986	0.0	11172	3309	0.0	11169	5590	0.0	11181	5119	0.0	9607	9717	0.0	11417	6460	0.0	8279	3936	0.0	9175	3619	0.0	10677	4224	0.0	10098	4130	0.0	10353	7097	0.0	11372	4377	0.0	9781	2551	0.0	9776	5488	0.0	9734	4663	0.0	11813	3508	0.0	11507	4115	0.0	11955	6174	0.0	10511	3815	0.0	11765	4060	0.0	12811	3167	0.0	10835	4549	0.0	10671	5178	0.0	10093	6383	0.0	9801	3594	0.0	11026	4270	0.0	10808	4937	0.0	11485	7713	0.0	11732	5276	0.0	10364	5683	0.0	8760	3451	0.0	10650	4001	0.0	10756	4626	0.0	12035	5378	0.0	11383	4201	0.0	10479	5471	0.0	8801	3050	0.0	10351	4326	0.0	9711	4678	0.0	8793	4737	0.0	10284	4656	0.0	10696	4561	0.0	9655	4051	0.0	10600	2863	0.0	9500	3784	0.0	11537	3154	0.0	9104	4345	0.0	12184	3412	0.0	8812	3933	0.0	8861	4887	0.0	9824	3817	0.0	9943	4529	0.0	9559	5746	0.0	10825	3820	0.0
+116	cg03890988	5145	2531	0.0	3741	4305	0.0	5420	2965	0.0	5915	2265	0.0	9697	4061	0.0	11172	6272	0.0	2634	904	0.0	2946	1062	0.0	3030	1031	0.0	3044	1078	0.0	6923	4832	0.0	10854	7954	0.0	16751	3673	0.0	16174	3932	0.0	18763	5972	0.0	18318	4904	0.0	17263	5728	0.0	18390	4783	0.0	13288	5141	0.0	15317	4461	0.0	15683	6754	0.0	16324	5038	0.0	15694	10450	0.0	18435	5980	0.0	14766	3881	0.0	14508	3555	0.0	15497	4658	0.0	15746	3447	0.0	16012	7857	0.0	17808	4204	0.0	13815	2857	0.0	13936	5709	0.0	15486	3940	0.0	15582	3095	0.0	16276	3599	0.0	18108	5699	0.0	15483	4097	0.0	15997	4159	0.0	16693	3168	0.0	15767	4290	0.0	15709	4309	0.0	14335	5924	0.0	14029	3766	0.0	14995	4149	0.0	16378	4911	0.0	15304	6694	0.0	15187	6117	0.0	14851	6849	0.0	13811	3249	0.0	15313	4550	0.0	16647	4598	0.0	17012	5400	0.0	17561	3700	0.0	16562	5393	0.0	13118	2954	0.0	16424	4640	0.0	16262	4444	0.0	15595	4872	0.0	15402	4945	0.0	15863	4418	0.0	14811	5221	0.0	15431	3716	0.0	16719	3485	0.0	16105	4125	0.0	14975	4787	0.0	17235	3750	0.0	14878	4218	0.0	15057	5722	0.0	15069	4019	0.0	14225	5667	0.0	16535	5875	0.0	15865	3958	0.0
+117	cg21786289	6938	2428	0.0	4779	4133	0.0	5785	2686	0.0	6700	1352	0.0	9785	3050	0.0	12512	4165	0.0	2863	575	0.0	2902	905	0.0	3295	780	0.0	3596	588	0.0	6932	3947	0.0	11218	6153	0.0	14515	4268	0.0	15655	3416	0.0	16555	10700	0.0	15855	5500	0.0	15769	8106	0.0	15910	7082	0.0	13005	8465	0.0	15047	5853	0.0	14523	10726	0.0	15474	5390	0.0	13047	16366	0.0	17040	8559	0.0	12830	4895	0.0	13872	2991	0.0	12847	6044	0.0	14360	4441	0.0	14148	13458	0.0	15821	5270	0.0	13019	3373	0.0	13351	10659	0.0	13126	4548	0.0	15462	3493	0.0	14161	3953	0.0	15938	9284	0.0	14797	5460	0.0	15622	6118	0.0	15413	4427	0.0	14959	5293	0.0	14582	4218	0.0	13963	7503	0.0	13223	5831	0.0	14506	5498	0.0	14641	5100	0.0	15341	13434	0.0	15595	9039	0.0	13303	8226	0.0	12370	4025	0.0	13736	6573	0.0	14526	6316	0.0	15905	7508	0.0	16141	2962	0.0	15040	5306	0.0	12609	3835	0.0	14402	8244	0.0	13794	6455	0.0	12763	5229	0.0	13710	5288	0.0	14818	5420	0.0	14094	9969	0.0	14365	4694	0.0	14569	4230	0.0	15208	6278	0.0	14009	5852	0.0	17045	4025	0.0	13866	7106	0.0	13865	10909	0.0	13906	4880	0.0	13491	9128	0.0	14512	9162	0.0	15774	4959	0.0
+118	cg13897241	2532	2966	0.0	1803	4415	0.0	1759	3249	0.0	2780	3687	0.0	4863	6343	0.0	6359	8804	0.0	1245	1554	0.0	1040	1199	0.0	1314	1814	0.0	1619	2358	0.0	2803	5316	0.0	5775	8692	0.0	8564	5456	0.0	9855	6383	0.0	9126	7548	0.0	8592	8140	0.0	8922	7725	0.0	9355	7352	0.0	8183	5761	0.0	8405	5914	0.0	9010	7608	0.0	8879	8151	0.0	5584	8724	0.0	7192	7688	0.0	5549	5661	0.0	5994	5530	0.0	5727	5915	0.0	7412	6820	0.0	7492	7153	0.0	9091	7794	0.0	6757	4902	0.0	5774	5486	0.0	6227	6128	0.0	9311	6142	0.0	7577	6853	0.0	9166	7480	0.0	7813	5234	0.0	8476	5855	0.0	9939	6586	0.0	8027	6725	0.0	7255	7426	0.0	4496	7634	0.0	7164	5521	0.0	8218	5728	0.0	6058	6247	0.0	8004	8096	0.0	9363	6943	0.0	5580	7346	0.0	5111	4448	0.0	8008	6161	0.0	6693	6153	0.0	9217	6360	0.0	6689	6510	0.0	8192	8050	0.0	7021	4761	0.0	8629	5834	0.0	5426	6381	0.0	4772	6140	0.0	7834	7145	0.0	8140	8321	0.0	7138	5303	0.0	8509	5094	0.0	5310	5455	0.0	9271	6328	0.0	5262	6159	0.0	10038	6930	0.0	7598	5538	0.0	6972	7009	0.0	5347	5519	0.0	7921	6517	0.0	5400	6599	0.0	9172	7389	0.0
+119	cg13176867	2252	1694	0.0	1412	3369	0.0	2304	1725	0.0	2978	948	0.0	4848	1540	0.0	5923	3123	0.0	1299	417	0.0	1228	562	0.0	1275	652	0.0	1602	733	0.0	4024	3325	0.0	5271	4544	0.0	9153	1823	0.0	10985	2227	0.0	11006	3798	0.0	10645	2672	0.0	10370	3520	0.0	10519	2134	0.0	7554	3406	0.0	9235	2541	0.0	9309	4545	0.0	10456	3026	0.0	8871	7700	0.0	11277	3136	0.0	8452	2102	0.0	8707	1893	0.0	8587	2468	0.0	9324	1600	0.0	9046	4691	0.0	9453	1849	0.0	7600	1651	0.0	8567	3423	0.0	9166	1597	0.0	9443	1084	0.0	9228	1901	0.0	10153	2976	0.0	8704	2026	0.0	9309	2422	0.0	9515	1760	0.0	8435	2218	0.0	9313	2759	0.0	8851	4309	0.0	7421	2058	0.0	8269	2092	0.0	8762	2239	0.0	8619	5514	0.0	9609	3239	0.0	8433	4313	0.0	7572	1574	0.0	8674	2347	0.0	9465	2352	0.0	9909	2251	0.0	10029	1895	0.0	8837	2280	0.0	7026	1349	0.0	9244	2679	0.0	8700	2434	0.0	8353	2422	0.0	8048	2209	0.0	9322	2669	0.0	7754	3000	0.0	8598	1587	0.0	8881	1404	0.0	9123	2680	0.0	7367	2152	0.0	9502	2256	0.0	7917	2025	0.0	8101	3428	0.0	8155	1811	0.0	8170	3212	0.0	9629	3517	0.0	8613	2030	0.0
+120	cg15105996	8348	2316	0.0	5473	4846	0.0	6961	2516	0.0	8516	751	0.0	13710	1146	0.0	14724	3271	0.0	3716	470	0.0	3847	444	0.0	4189	784	0.0	4627	548	0.0	9069	3163	0.0	14180	4168	0.0	19950	3230	0.0	19902	2582	0.0	22314	8823	0.0	21677	3848	0.0	19863	7484	0.0	21964	5755	0.0	16673	6479	0.0	19036	5351	0.0	19241	8667	0.0	18945	5367	0.0	18320	16432	0.0	21990	5017	0.0	17604	2447	0.0	18071	1977	0.0	17671	4398	0.0	19349	2043	0.0	18720	11893	0.0	21689	3285	0.0	17066	2517	0.0	17828	8402	0.0	17790	2866	0.0	19811	1870	0.0	19677	3414	0.0	21605	4768	0.0	18805	2969	0.0	19467	5199	0.0	20515	2471	0.0	19180	3857	0.0	19097	4965	0.0	17087	6904	0.0	17029	2953	0.0	18244	4713	0.0	19182	3388	0.0	19495	12066	0.0	18579	5997	0.0	18919	5825	0.0	16216	2890	0.0	18717	4937	0.0	19714	4713	0.0	21123	5457	0.0	20231	2496	0.0	19548	3804	0.0	15620	2062	0.0	20115	4478	0.0	18749	3792	0.0	18250	4023	0.0	18209	3737	0.0	18566	3116	0.0	17653	8778	0.0	19122	3073	0.0	18907	2029	0.0	18516	4902	0.0	17248	3645	0.0	20185	2770	0.0	17572	5295	0.0	17748	9124	0.0	18416	1839	0.0	17649	7014	0.0	18492	7494	0.0	18347	4082	0.0
+121	cg02565062	5310	1444	0.0	2866	4433	0.0	4759	1792	0.0	5531	1270	0.0	9700	2703	0.0	10653	3919	0.0	2478	470	0.0	2545	537	0.0	2639	736	0.0	3061	790	0.0	7030	3833	0.0	10285	4364	0.0	15020	1784	0.0	17285	2032	0.0	19291	3919	0.0	17294	2251	0.0	17024	3630	0.0	17221	2444	0.0	12892	3335	0.0	14948	2275	0.0	16752	4443	0.0	16011	2673	0.0	13910	8062	0.0	17571	3279	0.0	13985	2036	0.0	14328	1984	0.0	15270	2644	0.0	14321	1629	0.0	15143	4927	0.0	17035	2167	0.0	13868	1743	0.0	14587	3449	0.0	14555	1813	0.0	14732	1494	0.0	15478	1842	0.0	15670	3057	0.0	14936	2065	0.0	16135	2711	0.0	16519	2073	0.0	15263	2121	0.0	15934	2323	0.0	14543	4073	0.0	13835	2408	0.0	14334	2123	0.0	15396	2126	0.0	15925	5689	0.0	15092	3214	0.0	15687	4246	0.0	13534	1697	0.0	14542	2563	0.0	15956	2377	0.0	16716	2466	0.0	17204	1960	0.0	14879	2560	0.0	12467	1276	0.0	16192	2725	0.0	15343	2487	0.0	14783	2914	0.0	15216	2434	0.0	15949	2892	0.0	14792	3371	0.0	15483	1742	0.0	15712	2057	0.0	15537	2831	0.0	13654	2014	0.0	17730	2153	0.0	15244	2031	0.0	15120	3773	0.0	14317	2364	0.0	14463	3200	0.0	16549	3316	0.0	16253	2645	0.0
+122	cg09856436	4738	927	0.0	3938	2868	0.0	4488	1090	0.0	5680	893	0.0	9674	1288	0.0	10378	2308	0.0	2366	253	0.0	2602	355	0.0	2806	318	0.0	2820	540	0.0	7448	2214	0.0	9280	2819	0.0	14075	1396	0.0	16564	1588	0.0	16960	2583	0.0	16233	1976	0.0	15187	2632	0.0	15820	1870	0.0	11754	2094	0.0	13767	1805	0.0	14495	3071	0.0	13370	1743	0.0	13569	6266	0.0	15288	2459	0.0	13109	1590	0.0	13105	1376	0.0	13334	1582	0.0	14643	1215	0.0	14782	3806	0.0	16641	1601	0.0	11754	1017	0.0	13115	2524	0.0	13617	1194	0.0	14488	1233	0.0	13702	1172	0.0	14767	2080	0.0	11298	1407	0.0	12876	1829	0.0	15044	1734	0.0	12030	1573	0.0	13244	1718	0.0	12219	3020	0.0	12607	1647	0.0	12389	1938	0.0	13085	1441	0.0	13400	3981	0.0	12752	2471	0.0	13064	2627	0.0	11718	1031	0.0	13018	1674	0.0	14637	1514	0.0	14932	2198	0.0	14734	1256	0.0	12373	1831	0.0	10876	938	0.0	14409	1840	0.0	13295	1520	0.0	12468	1739	0.0	13647	1684	0.0	11502	1376	0.0	12204	2265	0.0	13155	1333	0.0	13315	1193	0.0	12437	1910	0.0	11728	1435	0.0	13967	1589	0.0	12538	1647	0.0	12363	2719	0.0	13094	1310	0.0	12218	2311	0.0	13875	1753	0.0	12169	1404	0.0
+123	cg19159092	2785	793	0.0	1843	2695	0.0	2039	956	0.0	2990	591	0.0	5621	1133	0.0	5168	1632	0.0	1283	215	0.0	1498	362	0.0	1342	325	0.0	1292	353	0.0	4156	1635	0.0	4732	2051	0.0	9199	913	0.0	9696	1221	0.0	11409	2342	0.0	9914	850	0.0	10573	2157	0.0	9689	1537	0.0	6894	1467	0.0	7917	1051	0.0	9636	2404	0.0	9730	1459	0.0	9578	6314	0.0	10893	1543	0.0	7763	810	0.0	8411	767	0.0	8403	1201	0.0	8129	735	0.0	8804	3138	0.0	10939	1186	0.0	5887	520	0.0	8887	1747	0.0	8849	703	0.0	8263	769	0.0	8953	787	0.0	9550	1362	0.0	6798	915	0.0	9042	1289	0.0	7032	880	0.0	8473	1380	0.0	8568	1159	0.0	8275	1913	0.0	6823	836	0.0	7782	1233	0.0	9054	1054	0.0	8212	3250	0.0	6988	1518	0.0	9264	2121	0.0	8224	740	0.0	8835	1039	0.0	10221	1116	0.0	10505	1352	0.0	9628	867	0.0	8629	1016	0.0	6754	616	0.0	9431	1542	0.0	9592	1145	0.0	9653	1143	0.0	8232	1169	0.0	6712	886	0.0	7419	1598	0.0	8293	584	0.0	9274	756	0.0	7396	1260	0.0	8452	908	0.0	5972	756	0.0	7884	845	0.0	7716	2322	0.0	8806	836	0.0	7444	1630	0.0	9597	1698	0.0	5908	911	0.0
+124	cg08132177	4677	241	0.0	4661	234	0.0	3907	234	0.0	4780	228	0.0	7477	396	0.0	8897	501	0.0	2059	169	0.0	2101	162	0.0	2129	160	0.0	2448	139	0.0	5696	308	0.0	7740	461	0.0	12815	711	0.0	12913	882	0.0	15601	948	0.0	12917	952	0.0	13661	879	0.0	13796	842	0.0	10694	646	0.0	10885	638	0.0	12688	752	0.0	12245	942	0.0	12716	916	0.0	13682	1099	0.0	11109	661	0.0	11469	677	0.0	11482	572	0.0	11220	718	0.0	12231	670	0.0	13240	766	0.0	9893	476	0.0	11467	636	0.0	11812	479	0.0	11910	685	0.0	11953	698	0.0	13427	715	0.0	12694	814	0.0	13318	932	0.0	14032	931	0.0	12177	939	0.0	12882	884	0.0	12996	859	0.0	11906	832	0.0	12716	834	0.0	13275	875	0.0	14497	931	0.0	12781	913	0.0	12700	762	0.0	10845	512	0.0	12021	577	0.0	12436	833	0.0	14098	795	0.0	13696	848	0.0	11700	732	0.0	10114	473	0.0	13198	704	0.0	12069	629	0.0	11596	601	0.0	11281	661	0.0	12130	774	0.0	12579	784	0.0	12248	761	0.0	12362	792	0.0	12928	716	0.0	11793	584	0.0	13973	755	0.0	12834	639	0.0	12524	685	0.0	12169	761	0.0	11741	804	0.0	13868	864	0.0	12782	771	0.0
+125	cg27050229	4474	258	0.0	4275	266	0.0	3909	273	0.0	4697	326	0.0	8217	535	0.0	8487	619	0.0	2058	162	0.0	2374	156	0.0	2307	173	0.0	2378	204	0.0	5935	397	0.0	8687	618	0.0	12710	1397	0.0	14524	1644	0.0	14800	1799	0.0	13389	1548	0.0	13402	1773	0.0	12986	1942	0.0	10842	1129	0.0	12122	1364	0.0	12183	1543	0.0	12414	1720	0.0	13632	2024	0.0	13933	2056	0.0	11187	1040	0.0	10765	875	0.0	10700	1135	0.0	11112	1369	0.0	12468	1392	0.0	13688	1563	0.0	9539	844	0.0	10699	954	0.0	11054	1069	0.0	11489	1443	0.0	11571	1364	0.0	12874	1592	0.0	12633	1405	0.0	12711	1472	0.0	13398	1912	0.0	12109	1936	0.0	12508	1596	0.0	12337	1683	0.0	11992	1155	0.0	12157	1528	0.0	12401	1646	0.0	13043	1919	0.0	12000	1579	0.0	12146	1857	0.0	10299	999	0.0	11622	1260	0.0	12348	1393	0.0	13655	1503	0.0	12930	1745	0.0	12101	1510	0.0	9615	1141	0.0	13423	1558	0.0	12549	1396	0.0	11472	1444	0.0	11486	1588	0.0	12562	1535	0.0	11727	1183	0.0	12521	1542	0.0	12984	1239	0.0	13173	1468	0.0	11041	1160	0.0	15451	1524	0.0	12463	1059	0.0	12315	1182	0.0	11612	1280	0.0	11424	1316	0.0	13383	1467	0.0	12608	1257	0.0
+126	cg06931612	5734	2862	0.0	4602	5066	0.0	5483	3434	0.0	6612	2363	0.0	11126	6597	0.0	14059	7976	0.0	2321	1438	0.0	2788	1532	0.0	2666	1477	0.0	3585	1619	0.0	9150	7085	0.0	13962	9648	0.0	10723	6159	0.0	12192	7898	0.0	12541	8795	0.0	12339	8923	0.0	12592	8516	0.0	12264	9132	0.0	9115	6290	0.0	10233	7072	0.0	12221	8078	0.0	13412	9233	0.0	12298	11213	0.0	13724	8592	0.0	10283	6576	0.0	9990	6906	0.0	10592	6939	0.0	10621	7172	0.0	11959	7133	0.0	13955	8416	0.0	8014	4833	0.0	9847	6250	0.0	11080	7093	0.0	11064	6334	0.0	10514	7577	0.0	12168	6916	0.0	9725	5944	0.0	10383	6331	0.0	11916	7116	0.0	11474	7660	0.0	11131	7902	0.0	12489	9450	0.0	9559	6470	0.0	11010	6330	0.0	10783	7735	0.0	11516	10127	0.0	11983	9073	0.0	13891	9752	0.0	8859	5289	0.0	10610	6725	0.0	10934	7597	0.0	12588	8169	0.0	12718	7840	0.0	13121	8068	0.0	8340	5168	0.0	10421	7168	0.0	10390	6915	0.0	11459	8060	0.0	12550	7085	0.0	12324	7998	0.0	8434	6657	0.0	10110	6601	0.0	10394	6990	0.0	12073	7214	0.0	11060	8082	0.0	11984	8124	0.0	8898	6438	0.0	10320	7482	0.0	10839	6890	0.0	11308	8856	0.0	12049	8329	0.0	11466	8431	0.0
+127	cg11407801	913	3966	0.0	656	4469	0.0	736	4164	0.0	1193	5237	0.0	2015	8714	0.0	2677	11292	0.0	551	1789	0.0	538	2161	0.0	553	2070	0.0	598	3051	0.0	1742	7194	0.0	1863	10596	0.0	3083	8050	0.0	4296	9697	0.0	4480	10507	0.0	3424	10315	0.0	4446	10127	0.0	4517	10496	0.0	2553	7398	0.0	3159	8369	0.0	3200	10139	0.0	3924	10889	0.0	3521	10819	0.0	3815	11588	0.0	2604	8203	0.0	2753	8196	0.0	3176	8618	0.0	3314	8697	0.0	3428	9524	0.0	4247	10242	0.0	2751	6963	0.0	3291	8082	0.0	3202	8653	0.0	3715	8949	0.0	3145	9549	0.0	3615	10611	0.0	3607	7952	0.0	3538	8472	0.0	4012	9434	0.0	3813	9854	0.0	3180	9318	0.0	3031	10538	0.0	2944	7504	0.0	3851	8365	0.0	3556	8935	0.0	3536	10128	0.0	3384	9949	0.0	4000	11589	0.0	2925	7676	0.0	3296	8302	0.0	3400	9298	0.0	4144	9688	0.0	3944	9476	0.0	3566	10080	0.0	2641	7105	0.0	3472	8431	0.0	2707	8795	0.0	3176	9527	0.0	3041	10131	0.0	3183	8564	0.0	2575	7230	0.0	3063	8453	0.0	3394	8347	0.0	3542	9452	0.0	2964	8739	0.0	3504	10249	0.0	3124	7255	0.0	2915	7876	0.0	3011	9090	0.0	3271	8800	0.0	3450	10152	0.0	3901	9768	0.0
+128	cg01197763	3538	3852	0.0	1857	5620	0.0	3063	3758	0.0	4143	4013	0.0	7022	6656	0.0	7598	10248	0.0	1531	1546	0.0	1627	1859	0.0	1713	1859	0.0	1879	2287	0.0	4414	6934	0.0	6654	9130	0.0	10669	6552	0.0	11459	7625	0.0	10420	9588	0.0	11032	8229	0.0	9794	7776	0.0	10842	8239	0.0	7478	6241	0.0	9246	7139	0.0	9563	8185	0.0	9656	7643	0.0	8348	9687	0.0	11566	8623	0.0	8483	6859	0.0	8238	7884	0.0	8419	7530	0.0	9973	7201	0.0	8975	7765	0.0	10853	8657	0.0	7475	5797	0.0	8715	6682	0.0	9607	6687	0.0	9973	6362	0.0	9230	7364	0.0	10530	8107	0.0	9575	6538	0.0	10535	7131	0.0	10478	7527	0.0	9645	8021	0.0	8594	8488	0.0	8376	9662	0.0	8743	6145	0.0	9954	6981	0.0	9909	7049	0.0	8933	9217	0.0	8712	8509	0.0	9335	9234	0.0	7908	6145	0.0	8711	7023	0.0	10273	7669	0.0	11427	7589	0.0	9681	8283	0.0	9290	8900	0.0	7549	5944	0.0	9511	6832	0.0	9465	7154	0.0	9493	7714	0.0	9338	8179	0.0	9091	8957	0.0	8331	6942	0.0	9922	6547	0.0	11104	7037	0.0	10938	7233	0.0	8662	7532	0.0	10335	8212	0.0	9455	6227	0.0	9275	7271	0.0	10682	6949	0.0	8790	8181	0.0	10008	8203	0.0	10072	7720	0.0
+129	cg01980454	4227	214	0.0	4715	177	0.0	4556	208	0.0	4917	301	0.0	9150	406	0.0	10563	527	0.0	2254	123	0.0	2325	185	0.0	2478	150	0.0	2695	141	0.0	6101	272	0.0	9637	402	0.0	13145	747	0.0	14375	739	0.0	16084	1017	0.0	14833	905	0.0	15023	988	0.0	14762	911	0.0	11497	607	0.0	13208	760	0.0	13843	802	0.0	13561	836	0.0	13955	1220	0.0	14892	1109	0.0	11394	668	0.0	11780	670	0.0	10550	804	0.0	12108	859	0.0	13061	818	0.0	14866	944	0.0	11100	639	0.0	12523	599	0.0	11899	744	0.0	12778	822	0.0	13895	928	0.0	14328	916	0.0	13322	654	0.0	12447	953	0.0	12539	838	0.0	12737	749	0.0	12233	816	0.0	12074	743	0.0	11261	563	0.0	11959	743	0.0	12468	693	0.0	13600	671	0.0	12631	722	0.0	12185	573	0.0	11153	506	0.0	12343	592	0.0	12585	673	0.0	13515	701	0.0	13525	746	0.0	13557	753	0.0	9783	430	0.0	12858	670	0.0	12808	643	0.0	11685	610	0.0	11927	733	0.0	13396	632	0.0	12064	494	0.0	12654	575	0.0	12984	678	0.0	12880	513	0.0	12101	445	0.0	14818	720	0.0	12306	510	0.0	12493	640	0.0	12448	667	0.0	11957	433	0.0	12916	626	0.0	12667	698	0.0
+130	cg16352085	3411	349	0.0	3974	265	0.0	4037	263	0.0	4010	331	0.0	7790	718	0.0	9203	766	0.0	1617	248	0.0	1664	183	0.0	1930	208	0.0	2362	336	0.0	6870	503	0.0	9712	941	0.0	7738	934	0.0	8172	791	0.0	9065	808	0.0	9261	931	0.0	9159	992	0.0	9693	1089	0.0	6788	623	0.0	7483	733	0.0	9317	948	0.0	9340	1124	0.0	10071	1185	0.0	10347	1372	0.0	6955	539	0.0	7873	727	0.0	8654	734	0.0	8285	751	0.0	8571	731	0.0	9842	867	0.0	6291	487	0.0	7847	654	0.0	8134	614	0.0	7986	636	0.0	8868	552	0.0	9230	839	0.0	6812	933	0.0	7338	904	0.0	8254	958	0.0	8709	986	0.0	9099	952	0.0	9700	1358	0.0	7389	917	0.0	7542	884	0.0	8780	999	0.0	9103	1089	0.0	9174	1110	0.0	10591	1163	0.0	6844	838	0.0	7389	862	0.0	8498	805	0.0	8711	998	0.0	9547	1096	0.0	9466	1125	0.0	6146	666	0.0	7655	709	0.0	7976	858	0.0	8833	989	0.0	9136	946	0.0	9671	922	0.0	6725	668	0.0	6795	796	0.0	7787	785	0.0	8164	880	0.0	7829	994	0.0	8942	905	0.0	6829	644	0.0	7367	912	0.0	7914	792	0.0	8145	855	0.0	8561	846	0.0	8988	961	0.0
+131	cg04839849	4491	260	0.0	4414	257	0.0	4112	273	0.0	4915	318	0.0	8409	566	0.0	11478	760	0.0	1944	185	0.0	1929	147	0.0	1944	161	0.0	2434	247	0.0	7649	542	0.0	10770	850	0.0	8118	682	0.0	9674	822	0.0	10242	897	0.0	10143	866	0.0	10180	916	0.0	10519	893	0.0	7469	577	0.0	8286	574	0.0	8921	752	0.0	10717	934	0.0	11054	1373	0.0	11015	913	0.0	7940	565	0.0	8658	709	0.0	9402	655	0.0	9172	655	0.0	9569	802	0.0	10357	875	0.0	6531	478	0.0	8346	655	0.0	8625	605	0.0	8698	710	0.0	8785	712	0.0	10362	653	0.0	7878	799	0.0	8324	758	0.0	8640	747	0.0	9888	926	0.0	9282	809	0.0	10469	1133	0.0	7871	643	0.0	8334	812	0.0	8871	852	0.0	9942	804	0.0	9530	902	0.0	11538	1168	0.0	7179	540	0.0	8657	550	0.0	9358	634	0.0	9694	751	0.0	10007	626	0.0	10094	722	0.0	7384	467	0.0	8419	552	0.0	8569	661	0.0	9016	803	0.0	10432	711	0.0	10999	770	0.0	7224	517	0.0	8204	582	0.0	8521	585	0.0	8743	905	0.0	8824	668	0.0	10050	645	0.0	7671	441	0.0	7601	685	0.0	8954	581	0.0	8939	609	0.0	9456	754	0.0	9796	730	0.0
+132	cg03725447	2682	381	0.0	2326	232	0.0	2159	249	0.0	2579	325	0.0	4404	425	0.0	5054	435	0.0	1137	241	0.0	1106	222	0.0	1332	164	0.0	1152	220	0.0	3240	315	0.0	4883	575	0.0	7526	907	0.0	8419	1073	0.0	9820	1089	0.0	7388	872	0.0	7698	1156	0.0	8150	802	0.0	5987	872	0.0	6805	992	0.0	7571	796	0.0	7161	1070	0.0	7593	1058	0.0	7521	1472	0.0	5489	701	0.0	5740	781	0.0	6364	681	0.0	6224	764	0.0	7321	734	0.0	7661	659	0.0	5312	587	0.0	6113	533	0.0	6448	651	0.0	6931	720	0.0	5943	588	0.0	7384	763	0.0	7028	902	0.0	7642	1016	0.0	7194	927	0.0	6566	968	0.0	6913	1003	0.0	6942	958	0.0	6451	718	0.0	6888	860	0.0	6905	772	0.0	8038	911	0.0	6516	709	0.0	6720	951	0.0	6058	728	0.0	6723	736	0.0	7263	653	0.0	8482	749	0.0	6975	763	0.0	6175	642	0.0	5899	782	0.0	7539	687	0.0	6804	648	0.0	6084	827	0.0	6417	611	0.0	6661	843	0.0	7018	899	0.0	7182	800	0.0	7133	744	0.0	7273	747	0.0	5767	780	0.0	7856	702	0.0	7684	790	0.0	7054	926	0.0	6499	857	0.0	6772	696	0.0	8050	832	0.0	7313	770	0.0
+133	cg25215298	4121	1393	0.0	4506	1913	0.0	4296	1634	0.0	4693	1717	0.0	8502	3334	0.0	10508	4594	0.0	1712	702	0.0	1904	764	0.0	1836	842	0.0	2391	1072	0.0	7063	3134	0.0	9860	4717	0.0	8107	3659	0.0	9892	4486	0.0	10766	4934	0.0	10242	4320	0.0	9277	4335	0.0	10006	4794	0.0	6986	3399	0.0	8903	3923	0.0	9558	4406	0.0	10529	4917	0.0	11032	4604	0.0	10638	4881	0.0	8269	3364	0.0	8333	3240	0.0	8860	3508	0.0	9035	3485	0.0	9134	3863	0.0	10556	4169	0.0	6361	2568	0.0	8059	3104	0.0	8268	3339	0.0	8551	3698	0.0	8400	3557	0.0	9435	3753	0.0	6918	2662	0.0	7375	2990	0.0	8430	3046	0.0	8188	3270	0.0	9265	3570	0.0	9333	3652	0.0	7370	2915	0.0	8008	2981	0.0	8248	3451	0.0	9936	3822	0.0	8816	3349	0.0	10350	4039	0.0	6696	3018	0.0	7841	3284	0.0	8610	3330	0.0	9519	3849	0.0	9299	3785	0.0	8788	3728	0.0	6392	2388	0.0	7535	3500	0.0	8454	3523	0.0	8477	3844	0.0	8686	3446	0.0	9605	3859	0.0	7937	2998	0.0	7963	3246	0.0	7908	2880	0.0	8676	3528	0.0	7974	2902	0.0	8741	3774	0.0	7297	2919	0.0	7836	3161	0.0	7921	3225	0.0	8324	3380	0.0	9356	3842	0.0	9583	3472	0.0
+134	cg04672450	4365	549	0.0	4166	632	0.0	3622	616	0.0	4113	684	0.0	7449	1377	0.0	9088	1958	0.0	1850	256	0.0	2076	307	0.0	2087	362	0.0	2320	439	0.0	4962	1292	0.0	8203	1692	0.0	12346	1107	0.0	13069	1463	0.0	14364	1575	0.0	13424	1370	0.0	13451	1147	0.0	13489	1487	0.0	10986	857	0.0	11626	1148	0.0	12413	1380	0.0	12207	1568	0.0	12830	1468	0.0	13517	1882	0.0	11000	1009	0.0	10855	1031	0.0	11532	1238	0.0	11047	996	0.0	12360	1327	0.0	13364	1428	0.0	9622	778	0.0	12151	1042	0.0	11525	1197	0.0	11719	1071	0.0	11835	1063	0.0	13069	1340	0.0	12447	1206	0.0	12776	1332	0.0	13238	1295	0.0	12147	1357	0.0	12106	1549	0.0	11613	1764	0.0	11112	1244	0.0	11906	1246	0.0	12294	1373	0.0	13497	1714	0.0	12485	1426	0.0	12015	1720	0.0	10523	864	0.0	11466	1225	0.0	12874	1375	0.0	12963	1552	0.0	13327	1388	0.0	11361	1371	0.0	10006	832	0.0	12401	1325	0.0	11334	1172	0.0	11169	1267	0.0	11433	1337	0.0	11961	1420	0.0	11843	1006	0.0	11709	1055	0.0	12380	1211	0.0	12385	1256	0.0	10974	1037	0.0	13696	1406	0.0	12230	1035	0.0	12216	1163	0.0	11866	1297	0.0	10990	1179	0.0	12631	1475	0.0	12651	1390	0.0
+135	cg27487046	3422	255	0.0	3041	259	0.0	2983	262	0.0	3647	303	0.0	6232	372	0.0	7496	716	0.0	1534	198	0.0	1359	101	0.0	1618	165	0.0	1788	220	0.0	4584	464	0.0	6445	618	0.0	10800	432	0.0	12295	579	0.0	14264	616	0.0	11245	442	0.0	11998	484	0.0	11269	484	0.0	8970	323	0.0	10835	451	0.0	11242	519	0.0	10765	562	0.0	11003	593	0.0	11465	574	0.0	9152	409	0.0	9161	456	0.0	10587	451	0.0	9367	395	0.0	10958	418	0.0	11733	633	0.0	8034	266	0.0	10039	409	0.0	9150	379	0.0	10533	398	0.0	9902	407	0.0	11076	543	0.0	9856	454	0.0	9955	505	0.0	10479	647	0.0	9694	466	0.0	10304	624	0.0	9694	881	0.0	9132	475	0.0	9606	613	0.0	10381	616	0.0	10666	679	0.0	9404	737	0.0	9930	725	0.0	8486	234	0.0	9040	483	0.0	10921	449	0.0	11463	492	0.0	10559	828	0.0	9339	516	0.0	8284	324	0.0	11520	454	0.0	9985	479	0.0	8896	487	0.0	9367	513	0.0	10215	509	0.0	9776	372	0.0	9924	431	0.0	9619	377	0.0	10157	444	0.0	8379	433	0.0	11224	470	0.0	10040	419	0.0	10060	430	0.0	9622	477	0.0	9250	458	0.0	11590	559	0.0	10235	662	0.0
+136	cg06091566	4632	243	0.0	3980	300	0.0	3882	221	0.0	4715	321	0.0	6686	492	0.0	9418	549	0.0	1885	194	0.0	1949	138	0.0	2165	246	0.0	2161	230	0.0	5823	425	0.0	7770	521	0.0	12052	1427	0.0	13221	1789	0.0	15004	2100	0.0	12127	1459	0.0	13205	1885	0.0	12913	1682	0.0	9429	1104	0.0	11509	1542	0.0	11467	1254	0.0	11679	1594	0.0	10600	1814	0.0	11694	1851	0.0	10434	1184	0.0	10248	1351	0.0	10795	1420	0.0	11881	1364	0.0	12135	1522	0.0	13012	1550	0.0	8847	1042	0.0	10772	1384	0.0	10779	1340	0.0	11038	1245	0.0	11348	1492	0.0	13060	1932	0.0	10757	1169	0.0	11311	1640	0.0	11599	1581	0.0	11187	1405	0.0	11564	1639	0.0	11000	1660	0.0	10641	1175	0.0	11298	1581	0.0	11785	1514	0.0	12349	1535	0.0	10785	1513	0.0	11438	1485	0.0	9159	910	0.0	10466	1202	0.0	11552	1499	0.0	12589	1481	0.0	10543	1507	0.0	9863	1221	0.0	8947	893	0.0	12215	1488	0.0	10888	1410	0.0	10127	1200	0.0	10015	1310	0.0	11036	1310	0.0	11221	1050	0.0	10861	982	0.0	11513	1237	0.0	11142	1336	0.0	9075	1030	0.0	12826	1343	0.0	11671	962	0.0	11834	1078	0.0	10733	1144	0.0	10410	1200	0.0	12526	1601	0.0	11600	1301	0.0
+137	cg03735847	3411	135	0.0	3632	86	0.0	3667	107	0.0	4314	80	0.0	7100	165	0.0	9219	266	0.0	1508	163	0.0	1739	108	0.0	1673	130	0.0	2497	120	0.0	6933	160	0.0	9518	198	0.0	7564	203	0.0	9523	241	0.0	9467	283	0.0	8847	250	0.0	9007	217	0.0	9665	265	0.0	6268	228	0.0	7841	245	0.0	8988	247	0.0	9570	266	0.0	10087	269	0.0	9621	318	0.0	7460	210	0.0	7328	222	0.0	7963	188	0.0	7676	182	0.0	8264	206	0.0	9238	240	0.0	5714	162	0.0	7041	206	0.0	7688	172	0.0	7920	143	0.0	8045	197	0.0	8815	217	0.0	6364	326	0.0	7337	287	0.0	7748	299	0.0	7806	335	0.0	8417	264	0.0	9251	546	0.0	6734	245	0.0	7575	334	0.0	8142	309	0.0	9073	395	0.0	8501	328	0.0	9127	434	0.0	6553	162	0.0	7080	248	0.0	8072	211	0.0	9175	231	0.0	8014	265	0.0	8652	223	0.0	5724	184	0.0	8036	236	0.0	8038	212	0.0	8728	212	0.0	8758	229	0.0	9099	256	0.0	6442	196	0.0	6811	258	0.0	7632	222	0.0	7557	254	0.0	7285	274	0.0	8429	329	0.0	6571	185	0.0	7151	219	0.0	7485	224	0.0	8228	256	0.0	8966	263	0.0	8524	369	0.0
+138	cg03180780	3643	208	0.0	3403	142	0.0	3292	195	0.0	3811	156	0.0	7318	239	0.0	7553	238	0.0	1588	111	0.0	1580	104	0.0	1914	134	0.0	2065	128	0.0	4966	185	0.0	7083	281	0.0	10717	479	0.0	11521	438	0.0	12938	444	0.0	11667	444	0.0	11985	468	0.0	11525	506	0.0	9795	294	0.0	10685	380	0.0	10859	425	0.0	11027	324	0.0	11445	503	0.0	11691	552	0.0	9986	319	0.0	9451	362	0.0	10291	312	0.0	10528	310	0.0	10746	334	0.0	11164	399	0.0	8885	225	0.0	10518	319	0.0	10334	328	0.0	10733	298	0.0	10633	312	0.0	12057	415	0.0	9940	523	0.0	11207	633	0.0	11409	500	0.0	10565	515	0.0	10275	598	0.0	10314	493	0.0	10274	478	0.0	10685	497	0.0	10880	512	0.0	11972	441	0.0	11190	671	0.0	10635	409	0.0	9048	353	0.0	10149	347	0.0	11056	332	0.0	11469	393	0.0	11268	400	0.0	11469	309	0.0	8803	225	0.0	10770	329	0.0	10527	328	0.0	10232	382	0.0	10267	305	0.0	10887	401	0.0	10584	437	0.0	10638	500	0.0	11075	427	0.0	10717	350	0.0	9952	337	0.0	11784	469	0.0	10051	379	0.0	10467	458	0.0	9766	426	0.0	10127	412	0.0	10691	452	0.0	10714	511	0.0
+139	cg09166659	2405	145	0.0	2055	120	0.0	2140	163	0.0	2427	178	0.0	4117	245	0.0	4901	267	0.0	1212	144	0.0	1241	131	0.0	1205	151	0.0	1380	149	0.0	3591	210	0.0	4005	272	0.0	6913	390	0.0	8428	361	0.0	9746	408	0.0	6849	476	0.0	7240	448	0.0	8015	458	0.0	5870	370	0.0	7287	343	0.0	7393	391	0.0	7080	363	0.0	7203	423	0.0	7244	468	0.0	6153	285	0.0	5998	371	0.0	6931	370	0.0	6584	310	0.0	7356	307	0.0	7967	352	0.0	5489	259	0.0	6504	253	0.0	6461	272	0.0	6687	336	0.0	5912	282	0.0	7524	278	0.0	6663	585	0.0	7187	677	0.0	6914	595	0.0	5722	640	0.0	6813	481	0.0	6102	540	0.0	5947	441	0.0	6425	604	0.0	6017	486	0.0	7407	708	0.0	6187	565	0.0	6180	477	0.0	5664	410	0.0	6105	499	0.0	6776	463	0.0	7898	430	0.0	6799	488	0.0	5828	441	0.0	5289	331	0.0	7463	345	0.0	6225	375	0.0	6148	458	0.0	6174	419	0.0	6512	462	0.0	6380	467	0.0	6620	485	0.0	6306	503	0.0	6779	451	0.0	5258	434	0.0	7080	526	0.0	6753	492	0.0	6364	489	0.0	5926	415	0.0	6061	466	0.0	7857	529	0.0	6464	474	0.0
+140	cg05527507	2948	388	0.0	2565	544	0.0	2581	390	0.0	3218	449	0.0	5891	976	0.0	6229	1011	0.0	1455	195	0.0	1376	197	0.0	1487	231	0.0	1848	299	0.0	3745	1023	0.0	6119	994	0.0	9855	810	0.0	10234	1113	0.0	11338	1001	0.0	11165	916	0.0	11603	937	0.0	11220	896	0.0	8694	616	0.0	9371	878	0.0	10747	1074	0.0	9931	1068	0.0	11068	1286	0.0	10869	1035	0.0	8732	623	0.0	9354	863	0.0	9339	692	0.0	9111	813	0.0	9551	976	0.0	11112	862	0.0	8569	598	0.0	9521	781	0.0	9131	653	0.0	9731	757	0.0	10136	800	0.0	11605	945	0.0	9782	829	0.0	11204	905	0.0	11100	849	0.0	9950	904	0.0	9807	1257	0.0	9774	1270	0.0	8936	680	0.0	9742	878	0.0	10413	842	0.0	11061	1015	0.0	10493	979	0.0	10040	1261	0.0	8849	626	0.0	9812	788	0.0	10532	807	0.0	11110	904	0.0	11803	912	0.0	10426	945	0.0	8714	603	0.0	9990	701	0.0	9635	811	0.0	9513	817	0.0	9529	903	0.0	11119	1044	0.0	9452	676	0.0	9792	621	0.0	10271	697	0.0	10176	832	0.0	9771	755	0.0	10622	1102	0.0	9055	741	0.0	9991	858	0.0	9304	714	0.0	9378	980	0.0	9667	1030	0.0	9756	888	0.0
+141	cg14324200	5520	633	0.0	4933	579	0.0	4638	568	0.0	4698	635	0.0	10000	1312	0.0	10586	2009	0.0	2334	249	0.0	2389	407	0.0	2517	411	0.0	2857	369	0.0	6362	1311	0.0	10554	2298	0.0	14495	1017	0.0	15162	1431	0.0	17132	1631	0.0	16332	1612	0.0	16525	1240	0.0	16037	1488	0.0	12973	900	0.0	14068	1226	0.0	14937	1577	0.0	14553	1500	0.0	15825	1608	0.0	16147	1568	0.0	13680	897	0.0	13103	1130	0.0	14391	1196	0.0	14004	1117	0.0	14913	1281	0.0	15577	1606	0.0	12858	757	0.0	14394	1075	0.0	13894	1034	0.0	14522	922	0.0	15172	1225	0.0	15727	1270	0.0	14447	1035	0.0	14896	1063	0.0	15910	1330	0.0	15082	1376	0.0	14568	1480	0.0	14031	1858	0.0	12402	1013	0.0	13762	1185	0.0	14066	1221	0.0	15845	1631	0.0	14120	1342	0.0	13776	1595	0.0	12576	876	0.0	13599	1109	0.0	15472	1266	0.0	15093	1294	0.0	14811	1145	0.0	14976	1111	0.0	11629	867	0.0	14581	1226	0.0	14451	1205	0.0	13334	1047	0.0	13791	1229	0.0	14481	1394	0.0	13981	1028	0.0	14400	974	0.0	14745	989	0.0	14875	1199	0.0	12954	1101	0.0	15767	1283	0.0	13025	921	0.0	14467	1020	0.0	12910	1137	0.0	13351	1136	0.0	14062	1509	0.0	14217	1152	0.0
+142	cg02663945	1465	771	0.0	972	1569	0.0	1197	702	0.0	672	263	0.0	611	308	0.0	4575	3021	0.0	672	272	0.0	185	137	0.0066666666666667105	698	295	0.0	718	351	0.0	301	305	0.00166666666666671	2767	2088	0.0	900	343	0.0	950	382	0.0	6093	2239	0.0	5582	1235	0.0	5308	1376	0.0	919	473	0.0	3864	1395	0.0	4927	1279	0.0	761	428	0.0	789	485	0.0	1031	473	0.0	992	553	0.0	748	339	0.0	684	332	0.0	680	354	0.0	3978	1007	0.0	4117	2096	0.0	4985	1367	0.0	3668	809	0.0	872	340	0.0	697	310	0.0	4390	890	0.0	701	357	0.0	869	427	0.0	7446	1669	0.0	4551	1200	0.0	5081	1396	0.0	775	505	0.00166666666666671	4218	1280	0.0	4436	2129	0.0	3969	1255	0.0	4750	1235	0.0	793	450	0.0	953	576	0.0	4652	1647	0.0	788	692	0.0	638	419	0.0	6569	1843	0.0	802	474	0.0	835	565	0.0	4897	1482	0.0	4371	1361	0.0	571	348	0.0	847	419	0.0	782	527	0.0	698	524	0.0	788	411	0.0	7017	2318	0.0	869	366	0.0	4594	1035	0.0	734	469	0.0	636	469	0.0	768	432	0.0	4657	1469	0.0	992	383	0.0	4284	1475	0.0	818	436	0.0	829	444	0.0	1026	634	0.0	7518	1833	0.0
+143	cg13856810	841	797	0.0	503	989	0.0	990	712	0.0	990	715	0.0	1828	1132	0.0	2335	1865	0.0	614	375	0.0	505	449	0.0	548	353	0.0	663	412	0.0	1858	1824	0.0	1620	2164	0.0	3981	1597	0.0	3961	2187	0.0	4211	2311	0.0	3635	1817	0.0	3667	1774	0.0	4031	1876	0.0	2737	1764	0.0	3934	2035	0.0	4015	2457	0.0	3535	2155	0.0	3062	3314	0.0	3708	2417	0.0	3201	1869	0.0	3191	2052	0.0	3529	1836	0.0	3874	1988	0.0	3104	2209	0.0	3717	2282	0.0	2844	1447	0.0	3316	1540	0.0	3476	1662	0.0	3540	1460	0.0	3090	1705	0.0	3803	1925	0.0	3458	1675	0.0	3980	1906	0.0	3529	1739	0.0	2784	1655	0.0	3175	2042	0.0	3207	2554	0.0	2362	1552	0.0	3561	1866	0.0	3720	2085	0.0	3130	2774	0.0	3056	2264	0.0	3294	2462	0.0	2922	1626	0.0	3102	1593	0.0	3223	1742	0.0	3811	2118	0.0	3276	2090	0.0	2749	1863	0.0	2832	1456	0.0	3282	1555	0.0	2812	1842	0.0	3004	2052	0.0	3240	1904	0.0	3087	2037	0.0	2863	1479	0.0	3534	1493	0.0	3793	1771	0.0	3730	1870	0.0	2600	1414	0.0	3750	1965	0.0	3755	1834	0.0	2974	1927	0.0	2794	1902	0.0	3401	2049	0.0	3968	2665	0.0	3154	1792	0.0
+144	cg02896266	3076	4244	0.0	1647	5747	0.0	2970	5191	0.0	3099	5132	0.0	6387	8196	0.0	5559	12240	0.0	1576	2118	0.0	1625	2355	0.0	1870	2144	0.0	2029	2844	0.0	4079	6968	0.0	5880	11216	0.0	10445	8269	0.0	9959	8733	0.0	9981	10341	0.0	10263	10350	0.0	10075	9950	0.0	10118	10390	0.0	8073	7637	0.0	9521	8634	0.0	9606	9614	0.0	10372	10420	0.0	9093	11861	0.0	10916	10856	0.0	8563	8146	0.0	7898	8858	0.0	9521	9125	0.0	8994	8806	0.0	9586	9421	0.0	10129	11042	0.0	7638	6922	0.0	9852	8426	0.0	9492	8610	0.0	9639	8886	0.0	9310	9428	0.0	10704	9486	0.0	9654	7556	0.0	11100	8028	0.0	10596	8550	0.0	10548	9186	0.0	8771	10079	0.0	9413	10281	0.0	8191	7558	0.0	9350	8287	0.0	10594	9312	0.0	10139	10573	0.0	9665	9905	0.0	10511	11271	0.0	8911	7183	0.0	9089	8420	0.0	10232	8705	0.0	9887	9513	0.0	9816	10349	0.0	9400	9665	0.0	7922	6649	0.0	9562	8532	0.0	9923	8535	0.0	8733	9893	0.0	9586	9520	0.0	9231	10914	0.0	8431	7210	0.0	9851	7512	0.0	10967	8463	0.0	10450	9267	0.0	8536	8837	0.0	10353	9652	0.0	9622	7329	0.0	8653	8217	0.0	9746	9206	0.0	9169	8975	0.0	11082	8681	0.0	9407	9467	0.0
+145	cg13806162	1748	3589	0.0	1215	4424	0.0	1501	4078	0.0	1424	4128	0.0	3081	7792	0.0	3276	10441	0.0	769	1715	0.0	701	1828	0.0	936	1994	0.0	1043	2607	0.0	2078	6677	0.0	2810	11607	0.0	4561	7810	0.0	4837	8620	0.0	5209	9722	0.0	4895	9617	0.0	5306	9482	0.0	5199	9999	0.0	3472	7054	0.0	4343	8122	0.0	4575	9603	0.0	4222	9872	0.0	4438	10995	0.0	5309	9820	0.0	4037	8166	0.0	3234	7704	0.0	4240	8772	0.0	4193	8769	0.0	4446	8858	0.0	4977	10219	0.0	3346	6718	0.0	4361	7913	0.0	4314	8184	0.0	4675	8499	0.0	4205	9298	0.0	5148	9787	0.0	5018	6791	0.0	4876	7910	0.0	4616	8752	0.0	4340	8903	0.0	4282	8943	0.0	3948	9746	0.0	3963	7147	0.0	4001	7450	0.0	4151	8188	0.0	4375	9387	0.0	4261	8849	0.0	3894	9842	0.0	3446	7024	0.0	4582	7817	0.0	4325	8243	0.0	4511	8919	0.0	3962	8523	0.0	4148	10087	0.0	3454	6381	0.0	4316	7846	0.0	4327	8365	0.0	4097	8963	0.0	3558	8597	0.0	3852	10022	0.0	3530	6966	0.0	4189	7162	0.0	4745	8136	0.0	4202	8508	0.0	3865	8947	0.0	4384	9311	0.0	4138	6887	0.0	4224	8011	0.0	3594	8289	0.0	3461	8727	0.0	4126	8928	0.0	4811	8711	0.0
+146	cg23225454	5352	5018	0.0	2650	5801	0.0	4615	4768	0.0	5219	4253	0.0	9875	7612	0.0	11512	11069	0.0	2457	1936	0.0	2282	2199	0.0	2712	1891	0.0	3482	2056	0.0	7010	6647	0.0	8633	9974	0.0	13509	12970	0.0	15235	15192	0.0	16658	18071	0.0	15175	14234	0.0	14899	15360	0.0	14833	15785	0.0	11923	13585	0.0	13681	13790	0.0	14054	15194	0.0	13536	15593	0.0	12665	19301	0.0	17467	12828	0.0	12998	12766	0.0	12986	11921	0.0	13540	13412	0.0	13698	12246	0.0	14592	14582	0.0	16494	14327	0.0	10949	12068	0.0	13159	15572	0.0	13830	11760	0.0	15509	10155	0.0	14102	14458	0.0	14801	15566	0.0	13433	10792	0.0	14495	12366	0.0	14950	14090	0.0	13933	13111	0.0	12638	14239	0.0	11809	13895	0.0	12393	11136	0.0	13334	11429	0.0	13053	14608	0.0	13010	18756	0.0	11994	15634	0.0	12531	12332	0.0	11255	11479	0.0	13271	12017	0.0	13093	14824	0.0	15018	14701	0.0	14248	15166	0.0	14235	10428	0.0	11008	10455	0.0	13726	15446	0.0	14165	12243	0.0	13098	12007	0.0	12571	12635	0.0	13492	11532	0.0	10410	15634	0.0	13350	11282	0.0	14285	12243	0.0	13810	14209	0.0	11437	12449	0.0	14031	13908	0.0	12542	13341	0.0	12637	13803	0.0	12291	10921	0.0	11610	14415	0.0	14703	15377	0.0	13796	12412	0.0
+147	cg00976181	1396	4189	0.0	1386	5159	0.0	1471	4214	0.0	1697	5143	0.0	2918	8578	0.0	3531	11123	0.0	874	1977	0.0	739	2093	0.0	864	2273	0.0	996	2933	0.0	2428	7270	0.0	3519	10467	0.0	5467	7564	0.0	5947	9535	0.0	6698	9750	0.0	5194	10120	0.0	5522	9951	0.0	5063	10208	0.0	4282	7472	0.0	5058	8190	0.0	4806	9091	0.0	5602	10418	0.0	5036	10920	0.0	6256	10371	0.0	4164	7970	0.0	3890	8968	0.0	4203	8806	0.0	4432	8562	0.0	4702	9097	0.0	5963	10399	0.0	3447	6417	0.0	4786	7477	0.0	4737	8619	0.0	5424	7972	0.0	5268	9060	0.0	5765	10793	0.0	5672	7473	0.0	5547	7863	0.0	5829	8978	0.0	5247	9833	0.0	5772	9467	0.0	5169	10783	0.0	4842	7650	0.0	5496	8559	0.0	4823	9096	0.0	5808	9865	0.0	5246	9480	0.0	5169	11929	0.0	4307	7060	0.0	5136	7906	0.0	4696	8744	0.0	5554	9474	0.0	5289	9657	0.0	5421	10089	0.0	3839	6520	0.0	5225	8000	0.0	5129	8758	0.0	4841	9450	0.0	4616	9130	0.0	5088	10006	0.0	4774	7115	0.0	5582	7582	0.0	5140	8363	0.0	5533	9001	0.0	4499	8850	0.0	5645	9374	0.0	4819	7204	0.0	4976	7991	0.0	4842	8309	0.0	4914	8986	0.0	5466	9373	0.0	5566	10046	0.0
+148	cg10711230	484	1538	0.0	282	1547	0.0	525	1713	0.0	667	2039	0.0	797	3759	0.0	976	6169	0.0	335	1083	0.0	375	1030	0.0	382	941	0.0	466	1296	0.0	1443	4094	0.0	758	5275	0.0	2474	4729	0.0	3665	5654	0.0	2993	6327	0.0	2455	5906	0.0	1944	5298	0.0	2721	5532	0.0	1471	4424	0.0	1874	6012	0.0	2277	5905	0.0	1965	6158	0.0	2448	6852	0.0	2987	5805	0.0	2850	4369	0.0	2061	5064	0.0	1963	5327	0.0	2385	4821	0.0	2022	5444	0.0	2376	6049	0.0	1292	4506	0.0	1760	4987	0.0	2896	4710	0.0	1966	5173	0.0	1844	6046	0.0	2234	5740	0.0	1821	4486	0.0	2776	5096	0.0	2329	5391	0.0	2107	4665	0.0	1871	6395	0.0	1881	6108	0.0	1784	4302	0.0	2341	5080	0.0	2531	5410	0.0	2067	6313	0.0	1520	6149	0.0	2336	6554	0.0	2446	4009	0.0	1633	4963	0.0	2102	4526	0.0	2299	5151	0.0	2422	5398	0.0	1479	5190	0.0	2059	3748	0.0	2312	5838	0.0	2089	4898	0.0	2661	5475	0.0	1989	5304	0.0	1521	6168	0.0	1473	4349	0.0	2407	4536	0.0	3327	4471	0.0	2473	5075	0.0	1811	4130	0.0	2223	6417	0.0	2223	4845	0.0	1909	4408	0.0	2126	4466	0.0	2056	5863	0.0	2959	5866	0.0	1644	5661	0.0
+149	cg00145911	1948	6938	0.0	1002	7417	0.0	1433	6622	0.0	1798	8580	0.0	3852	13571	0.0	3590	12946	0.0	561	3494	0.0	452	0	0.0	923	3747	0.0	1332	4303	0.0	1843	9179	0.0	3280	11449	0.0	4377	20133	0.0	3353	22511	0.0	5508	22693	0.0	4932	20916	0.0	5595	21999	0.0	4556	22203	0.0	2802	18071	0.0	4553	20306	0.0	4920	19838	0.0	3073	22355	0.0	2885	21530	0.0	3769	23211	0.0	3156	18302	0.0	3084	18787	0.0	3485	18593	0.0	4930	18895	0.0	4397	20605	0.0	4587	21736	0.0	3071	17503	0.0	3240	20279	0.0	3306	19315	0.0	5873	19607	0.0	3453	19375	0.0	5820	22172	0.0	6158	17837	0.0	5502	20763	0.0	3704	21900	0.0	4752	21467	0.0	4671	19930	0.0	3498	18545	0.0	3686	17892	0.0	5633	19573	0.0	2872	21717	0.0	3419	21802	0.0	3862	21383	0.0	2750	19669	0.0	2365	17681	0.0	5732	18457	0.0	3090	20179	0.0	4102	22720	0.0	4304	21107	0.0	4129	20556	0.0	2348	17067	0.0	3836	21311	0.0	4890	19194	0.0	3068	19775	0.0	2989	20152	0.0	3382	19956	0.0	2739	20190	0.0	4654	19498	0.0	3194	21273	0.0	4426	20892	0.0	2662	19541	0.0	5926	22395	0.0	4940	19950	0.0	3851	20822	0.0	2776	19324	0.0	3109	18924	0.0	3554	21567	0.0	5717	20026	0.0
+150	cg13546858	1236	305	0.0	758	887	0.0	1341	435	0.0	1476	236	0.0	2566	462	0.0	2831	876	0.0	863	135	0.0	885	185	0.0	682	193	0.0	657	162	0.0	2420	904	0.0	2348	1163	0.0	4968	554	0.0	6800	707	0.0	6628	805	0.0	4762	551	0.0	4756	745	0.0	6042	800	0.0	4589	749	0.0	4717	627	0.0	5222	796	0.0	6207	790	0.0	5725	2009	0.0	6442	798	0.0	4786	515	0.0	4637	594	0.0	5524	780	0.0	4723	500	0.0	4807	1285	0.0	5090	626	0.0	4130	389	0.0	5101	737	0.0	5835	447	0.0	3437	386	0.0	5242	685	0.0	4749	538	0.0	1678	424	0.0	4469	724	0.0	5609	520	0.0	3305	625	0.0	3701	671	0.0	4447	1036	0.0	2911	422	0.0	1888	540	0.0	5566	711	0.0	5737	1220	0.0	3284	639	0.0	5220	972	0.0	4772	410	0.0	3432	546	0.0	5384	483	0.0	5686	632	0.0	4841	683	0.0	3385	410	0.0	4189	429	0.0	6394	599	0.0	3892	513	0.0	4972	744	0.0	4969	571	0.0	3729	567	0.0	5214	888	0.0	3906	500	0.0	5728	619	0.0	3251	565	0.0	4200	550	0.0	1727	400	0.0	4124	561	0.0	3668	668	0.0	4600	489	0.0	5110	885	0.0	6517	1316	0.0	1545	343	0.0
+151	cg13692836	1570	241	0.0	983	316	0.0	1988	188	0.0	2430	236	0.0	4071	214	0.0	4593	367	0.0	958	101	0.0	932	116	0.0	1064	192	0.0	1633	99	0.0	2805	284	0.0	3078	450	0.0	8231	565	0.0	7267	498	0.0	8616	675	0.0	8318	606	0.0	7906	792	0.0	7188	594	0.0	5379	429	0.0	7315	531	0.0	7720	639	0.0	7061	610	0.0	6842	1634	0.0	7036	604	0.0	5182	338	0.0	6154	400	0.0	6470	444	0.0	7857	429	0.0	6980	951	0.0	7771	421	0.0	5522	315	0.0	5819	618	0.0	6481	384	0.0	8291	361	0.0	6377	372	0.0	8515	482	0.0	8101	659	0.0	8953	714	0.0	6892	685	0.0	7652	587	0.0	7613	610	0.0	6855	773	0.0	5814	561	0.0	8142	707	0.0	7146	607	0.0	6916	1107	0.0	7260	754	0.0	6613	563	0.0	5450	355	0.0	8467	566	0.0	6549	447	0.0	7359	519	0.0	6736	485	0.0	7299	604	0.0	5096	332	0.0	6756	609	0.0	7023	503	0.0	5671	493	0.0	6051	497	0.0	6663	428	0.0	5256	851	0.0	7047	638	0.0	6367	479	0.0	7690	620	0.0	5102	413	0.0	9302	627	0.0	6998	490	0.0	6192	851	0.0	5589	441	0.0	5827	567	0.0	7084	676	0.0	7732	674	0.0
+152	cg06531475	3327	541	0.0	2556	1463	0.0	2959	691	0.0	3519	600	0.0	6463	1314	0.0	7468	1964	0.0	1652	236	0.0	1700	283	0.0	1695	274	0.0	1838	421	0.0	5241	1373	0.0	6611	2235	0.0	11266	1054	0.0	11759	1127	0.0	14127	1685	0.0	11757	1155	0.0	12153	1279	0.0	12127	1348	0.0	9349	1232	0.0	10285	1173	0.0	11052	1399	0.0	11475	1665	0.0	11372	3546	0.0	12016	2039	0.0	10243	948	0.0	9702	931	0.0	11395	1393	0.0	11425	1013	0.0	11125	1876	0.0	12952	1462	0.0	9142	696	0.0	10431	1372	0.0	10450	932	0.0	10341	838	0.0	10940	1136	0.0	11994	1160	0.0	10549	1074	0.0	11872	1152	0.0	11579	1181	0.0	10442	1054	0.0	11514	1249	0.0	9936	1739	0.0	10034	1059	0.0	10342	1349	0.0	11357	1158	0.0	12534	2248	0.0	10931	1280	0.0	11275	1836	0.0	9047	865	0.0	10537	796	0.0	11299	974	0.0	12065	1315	0.0	11560	806	0.0	10575	1368	0.0	8931	730	0.0	11033	1509	0.0	10860	1089	0.0	10318	1240	0.0	10396	1330	0.0	9974	1068	0.0	8910	1233	0.0	10600	783	0.0	10463	871	0.0	11351	1230	0.0	9397	1025	0.0	11355	1156	0.0	10671	884	0.0	10091	1559	0.0	9190	879	0.0	9670	1328	0.0	11470	1280	0.0	11140	1078	0.0
+153	cg06624358	4410	600	0.0	3924	1305	0.0	4200	711	0.0	5256	685	0.0	8206	1065	0.0	9969	1031	0.0	1957	344	0.0	2155	303	0.0	2163	376	0.0	2445	369	0.0	5723	1345	0.0	8021	1714	0.0	13362	2816	0.0	10135	2349	0.0	14816	3805	0.0	13632	3916	0.0	13323	3853	0.0	14237	3825	0.0	10208	3194	0.0	12110	3424	0.0	12710	3792	0.0	12484	3644	0.0	13214	7407	0.0	12814	4599	0.0	10952	2380	0.0	11061	2813	0.0	10672	3063	0.0	12018	2706	0.0	12360	4095	0.0	13217	3136	0.0	9970	2479	0.0	11889	3327	0.0	11363	2918	0.0	11888	2946	0.0	11574	3604	0.0	12824	3807	0.0	12603	3466	0.0	13735	3984	0.0	13215	3924	0.0	13132	4051	0.0	12817	4053	0.0	9225	2939	0.0	11888	3293	0.0	12265	4178	0.0	12862	3585	0.0	13768	6116	0.0	13025	4287	0.0	12726	4554	0.0	10842	3006	0.0	11552	3024	0.0	12991	3336	0.0	13377	3707	0.0	10075	2133	0.0	12686	3307	0.0	9743	2536	0.0	13595	4341	0.0	12060	3326	0.0	11186	3106	0.0	11844	3205	0.0	12570	3668	0.0	13090	4852	0.0	12561	3020	0.0	13231	2961	0.0	13019	3330	0.0	12548	3567	0.0	14486	4319	0.0	12799	2848	0.0	13033	3583	0.0	12833	2873	0.0	12065	3593	0.0	13351	3796	0.0	13027	3660	0.0
+154	cg14156792	4959	1724	0.0	3436	3898	0.0	4159	1602	0.0	4655	939	0.0	8417	1996	0.0	10237	4486	0.0	2141	400	0.0	2270	504	0.0	2524	440	0.0	2837	628	0.0	5956	2678	0.0	9434	5825	0.0	12379	1018	0.0	13670	1200	0.0	16753	2400	0.0	15078	1573	0.0	14883	2930	0.0	15439	2530	0.0	11871	2782	0.0	12794	2141	0.0	13760	3321	0.0	13740	2444	0.0	11857	9051	0.0	14883	3226	0.0	12243	1206	0.0	12268	1199	0.0	12594	2008	0.0	13291	1078	0.0	12444	4697	0.0	14122	1720	0.0	11297	948	0.0	12248	3174	0.0	13167	1507	0.0	13820	805	0.0	13669	1784	0.0	15058	1841	0.0	12754	1658	0.0	13954	2167	0.0	15166	1811	0.0	14142	1621	0.0	13187	1883	0.0	12567	3453	0.0	12538	1353	0.0	13543	2015	0.0	13170	1433	0.0	14058	5890	0.0	14118	2117	0.0	13178	4165	0.0	11742	1300	0.0	12943	1671	0.0	14193	1618	0.0	15664	3013	0.0	14009	1102	0.0	13331	1352	0.0	10628	1176	0.0	14542	2447	0.0	12796	2032	0.0	12695	2244	0.0	12762	1917	0.0	13462	1418	0.0	12225	3589	0.0	12651	1304	0.0	14067	1321	0.0	14125	2142	0.0	11956	1722	0.0	14775	1715	0.0	12570	1853	0.0	12730	3024	0.0	12809	1722	0.0	12518	3455	0.0	14175	3262	0.0	14287	1741	0.0
+155	cg24997886	2941	639	0.0	2815	1628	0.0	3084	686	0.0	3706	501	0.0	6469	1068	0.0	7715	2085	0.0	1681	285	0.0	1734	314	0.0	1713	349	0.0	1842	373	0.0	5123	1570	0.0	7149	3221	0.0	10966	1072	0.0	12353	1827	0.0	13795	2223	0.0	9690	1211	0.0	10514	1695	0.0	12217	1063	0.0	9282	1462	0.0	9954	1077	0.0	11471	1736	0.0	11959	1752	0.0	12508	6072	0.0	12181	1955	0.0	10078	861	0.0	10218	934	0.0	10237	1380	0.0	10770	955	0.0	10756	2868	0.0	12598	1201	0.0	7758	429	0.0	10401	1343	0.0	10132	812	0.0	11137	587	0.0	11318	1140	0.0	12504	1328	0.0	9437	1014	0.0	10593	1322	0.0	11967	773	0.0	10163	952	0.0	10034	1123	0.0	9345	1980	0.0	6754	1188	0.0	9437	1519	0.0	10742	874	0.0	12282	3277	0.0	9998	1238	0.0	10048	1923	0.0	8884	843	0.0	10253	815	0.0	11528	872	0.0	12523	1408	0.0	11254	1259	0.0	10178	1072	0.0	8020	645	0.0	11866	1927	0.0	10766	1765	0.0	10564	1269	0.0	9911	1438	0.0	10293	1081	0.0	9831	2288	0.0	10387	965	0.0	10169	650	0.0	10829	1194	0.0	8449	1417	0.0	9898	1447	0.0	10061	1193	0.0	10191	1783	0.0	10283	925	0.0	10043	2182	0.0	11191	1781	0.0	9426	923	0.0
+156	cg01727431	4810	1213	0.0	2953	3128	0.0	4337	1189	0.0	5005	711	0.0	9001	1133	0.0	10416	2028	0.0	2346	314	0.0	2404	288	0.0	2450	351	0.0	2681	514	0.0	6849	2718	0.0	8704	4894	0.0	14281	1429	0.0	15606	1617	0.0	17341	3142	0.0	14676	1319	0.0	15049	2647	0.0	15328	1332	0.0	11830	1987	0.0	13268	1605	0.0	13905	2502	0.0	13446	1841	0.0	11807	7488	0.0	14872	2260	0.0	12445	1184	0.0	12686	1320	0.0	12006	1695	0.0	13645	1369	0.0	13256	4030	0.0	16462	1416	0.0	11748	747	0.0	13908	2606	0.0	12694	1228	0.0	13386	1028	0.0	13685	1351	0.0	14518	1749	0.0	14026	1441	0.0	13573	1944	0.0	14697	1464	0.0	13383	1633	0.0	14050	1886	0.0	12647	2638	0.0	12826	1823	0.0	13820	1973	0.0	14400	1226	0.0	14584	4755	0.0	14480	1821	0.0	13350	3113	0.0	11453	1130	0.0	13017	1369	0.0	14430	1233	0.0	15110	1984	0.0	14401	1403	0.0	13648	1282	0.0	11487	783	0.0	14346	2137	0.0	13917	1788	0.0	13105	1814	0.0	13062	1628	0.0	13684	1298	0.0	12815	2945	0.0	13839	1163	0.0	13946	1143	0.0	12794	1771	0.0	12062	1693	0.0	14669	2022	0.0	13323	1377	0.0	13033	2615	0.0	13618	1935	0.0	12298	2675	0.0	14958	2121	0.0	13942	1565	0.0
+157	cg10146935	4159	313	0.0	2983	1106	0.0	3344	419	0.0	3923	447	0.0	6821	526	0.0	7578	660	0.0	1797	225	0.0	1728	145	0.0	2047	216	0.0	1998	221	0.0	4764	621	0.0	7311	945	0.0	11456	1028	0.0	12148	1141	0.0	13152	1074	0.0	11732	1375	0.0	12207	1457	0.0	11399	1192	0.0	9931	1229	0.0	10719	1096	0.0	11597	1434	0.0	11741	1427	0.0	11186	3693	0.0	11569	1719	0.0	9794	726	0.0	10473	752	0.0	9940	1013	0.0	10817	694	0.0	11331	2035	0.0	11922	593	0.0	9619	585	0.0	9839	1564	0.0	10468	971	0.0	11275	744	0.0	10987	1058	0.0	12175	913	0.0	11942	1340	0.0	12120	1466	0.0	11908	1065	0.0	10977	1021	0.0	10553	1075	0.0	10318	1553	0.0	10380	1079	0.0	10677	1709	0.0	11570	961	0.0	12183	1935	0.0	10909	1127	0.0	11328	1416	0.0	9354	710	0.0	10467	1187	0.0	11501	923	0.0	11810	1434	0.0	12153	657	0.0	11152	958	0.0	8986	932	0.0	11236	1590	0.0	11429	1337	0.0	10426	947	0.0	10667	991	0.0	10878	855	0.0	10119	2308	0.0	10724	1181	0.0	11504	954	0.0	10696	834	0.0	10504	902	0.0	12052	1537	0.0	10799	1245	0.0	11876	821	0.0	10549	1052	0.0	10111	1323	0.0	11423	1714	0.0	11638	914	0.0
+158	cg02439789	3720	644	0.0	2471	3342	0.0	3086	870	0.0	3728	545	0.0	6019	939	0.0	7452	2180	0.0	1670	231	0.0	1791	304	0.0	1863	438	0.0	2174	603	0.0	5313	2179	0.0	6580	3168	0.0	10967	871	0.0	12572	946	0.0	13657	2088	0.0	11733	1469	0.0	11222	1761	0.0	11687	1087	0.0	9231	1693	0.0	10188	1545	0.0	11022	2098	0.0	11010	1918	0.0	9986	5714	0.0	11304	2161	0.0	9966	1071	0.0	9703	884	0.0	10730	1296	0.0	11166	934	0.0	10259	3293	0.0	11899	1492	0.0	8929	489	0.0	9939	1927	0.0	9957	865	0.0	11018	649	0.0	10941	1063	0.0	12180	1538	0.0	10004	1228	0.0	11129	1545	0.0	11537	1064	0.0	10306	1167	0.0	11035	1321	0.0	9985	2375	0.0	9457	1186	0.0	10094	1564	0.0	10668	1080	0.0	10753	2544	0.0	10058	1500	0.0	9965	2206	0.0	9661	953	0.0	10532	1519	0.0	11334	987	0.0	11938	1811	0.0	11279	914	0.0	9966	1094	0.0	8817	705	0.0	11724	1308	0.0	10453	1381	0.0	10149	1243	0.0	10085	1507	0.0	11138	1166	0.0	9962	2361	0.0	10672	1031	0.0	10646	827	0.0	11009	1300	0.0	9516	1228	0.0	11766	1245	0.0	10585	1257	0.0	10689	2282	0.0	10761	767	0.0	10221	2324	0.0	11727	1829	0.0	10694	1175	0.0
+159	cg24362661	4975	1010	0.0	3322	3568	0.0	4769	1192	0.0	5058	908	0.0	9072	1944	0.0	10411	2723	0.0	2354	499	0.0	2534	369	0.0	2584	421	0.0	2745	759	0.0	6506	2957	0.0	9810	4277	0.0	14791	1724	0.0	15798	1838	0.0	17225	3140	0.0	15867	1900	0.0	16039	2582	0.0	16769	1959	0.0	12185	2105	0.0	14710	2011	0.0	14790	3370	0.0	15292	2529	0.0	14979	7138	0.0	15560	2824	0.0	13573	1378	0.0	13011	1500	0.0	13264	2010	0.0	14911	1400	0.0	14187	4136	0.0	15509	1780	0.0	11864	1064	0.0	13940	2878	0.0	14256	1498	0.0	14594	1575	0.0	15407	1777	0.0	16480	2578	0.0	12837	1465	0.0	14765	2134	0.0	15935	1766	0.0	15051	2080	0.0	14558	2301	0.0	12697	3595	0.0	12587	1960	0.0	13576	2233	0.0	15261	1557	0.0	16168	4770	0.0	14511	2224	0.0	14362	3652	0.0	13031	1367	0.0	14278	2128	0.0	14820	1712	0.0	15566	2442	0.0	15882	1969	0.0	14692	1851	0.0	12112	1036	0.0	15283	2409	0.0	14543	2232	0.0	13595	1968	0.0	14665	1809	0.0	14370	1842	0.0	13548	2901	0.0	13594	1809	0.0	15344	1310	0.0	15455	2172	0.0	12679	1796	0.0	15772	2277	0.0	13280	1938	0.0	13437	3058	0.0	13888	1974	0.0	13712	2928	0.0	15713	2560	0.0	13742	2148	0.0
+160	cg05819296	3065	1432	0.0	1604	3116	0.0	2654	1422	0.0	3119	1204	0.0	5481	2535	0.0	6023	3638	0.0	1418	484	0.0	1490	536	0.0	1441	649	0.0	1556	761	0.0	4176	3105	0.0	5298	3686	0.0	9603	2409	0.0	10507	3088	0.0	11176	3769	0.0	10440	2627	0.0	9978	3158	0.0	10062	2863	0.0	7091	3078	0.0	9427	2920	0.0	8981	3366	0.0	9880	3768	0.0	7611	6887	0.0	10571	4360	0.0	8379	2350	0.0	8373	2076	0.0	8338	2764	0.0	8286	2394	0.0	8583	4118	0.0	9859	3075	0.0	7563	1861	0.0	8650	3355	0.0	8549	2454	0.0	8201	2122	0.0	8430	2231	0.0	9451	2688	0.0	9839	2403	0.0	9895	2851	0.0	11509	2287	0.0	8492	2659	0.0	9857	2631	0.0	8714	4260	0.0	8646	2458	0.0	9729	2567	0.0	9794	2981	0.0	10557	4930	0.0	9587	3214	0.0	9896	4130	0.0	8274	2277	0.0	9010	2705	0.0	9165	3072	0.0	10471	3510	0.0	9696	2255	0.0	8365	2735	0.0	8136	1810	0.0	11073	2904	0.0	9618	2597	0.0	8894	3135	0.0	9367	3329	0.0	9335	3092	0.0	9513	2754	0.0	9980	2212	0.0	10114	2530	0.0	9843	2837	0.0	8494	2324	0.0	10834	2629	0.0	9911	2349	0.0	9335	3306	0.0	9214	2686	0.0	9547	3547	0.0	10711	3356	0.0	10350	2263	0.0
+161	cg00582671	4914	4168	0.0	2612	6156	0.0	4143	4626	0.0	5261	4435	0.0	8679	7318	0.0	9130	8547	0.0	2419	1596	0.0	2199	1858	0.0	2465	1766	0.0	2683	2553	0.0	5968	7084	0.0	9187	10119	0.0	13346	6893	0.0	14041	8915	0.0	14566	9292	0.0	14717	8397	0.0	13604	8863	0.0	14506	8773	0.0	10650	7228	0.0	12825	7284	0.0	13311	8863	0.0	12346	9421	0.0	10671	12100	0.0	13795	10002	0.0	11844	7240	0.0	11875	6981	0.0	11645	7198	0.0	12727	7154	0.0	11601	8930	0.0	14103	9614	0.0	10049	6141	0.0	12067	6896	0.0	11750	6947	0.0	12608	7103	0.0	13061	7887	0.0	15236	8848	0.0	13103	6074	0.0	12977	6957	0.0	12155	8045	0.0	12212	7961	0.0	12855	8167	0.0	11631	8596	0.0	11532	7117	0.0	12496	6832	0.0	12762	7742	0.0	13307	9320	0.0	12632	8454	0.0	11000	9837	0.0	10720	6292	0.0	11782	7176	0.0	12904	7696	0.0	14374	7552	0.0	13096	8344	0.0	11734	8860	0.0	10305	6076	0.0	13441	7472	0.0	12822	7570	0.0	12127	8416	0.0	11735	8099	0.0	12316	8652	0.0	12485	6743	0.0	12729	6407	0.0	13501	7049	0.0	13024	7966	0.0	11111	7725	0.0	14606	8479	0.0	12964	6521	0.0	11452	8074	0.0	12400	7689	0.0	12051	8435	0.0	13825	8605	0.0	13740	8000	0.0
+162	cg22485363	1458	846	0.0	966	1973	0.0	1227	1081	0.0	1801	756	0.0	2947	1850	0.0	3714	1966	0.0	731	166	0.0	1154	378	0.0	854	345	0.0	495	224	0.0	3301	2391	0.0	3096	2501	0.0	4743	1055	0.0	7822	1469	0.0	5735	2551	0.0	5083	1128	0.0	4941	2190	0.0	5357	1655	0.0	5651	2641	0.0	3929	1396	0.0	5116	2530	0.0	7019	2257	0.0	6160	7151	0.0	7950	2868	0.0	5963	1556	0.0	5453	1224	0.0	6433	1685	0.0	4912	804	0.0	4641	3602	0.0	5949	1116	0.0	3577	815	0.0	6363	3078	0.0	6026	1219	0.0	2083	334	0.0	7102	1341	0.0	4963	1840	0.0	761	531	0.00166666666666671	3919	1066	0.0	6443	1493	0.0	3710	1279	0.0	3763	1423	0.0	3309	2136	0.0	3307	902	0.0	840	422	0.0	5930	1408	0.0	5985	4038	0.0	3619	2010	0.0	5128	2759	0.0	5775	1120	0.0	1208	477	0.0	6545	2269	0.0	7011	2009	0.0	4214	819	0.0	3693	1078	0.0	4979	833	0.0	6748	2339	0.0	4626	1283	0.0	5748	2033	0.0	5719	1977	0.0	4066	1253	0.0	5462	2626	0.0	3965	1030	0.0	6313	981	0.0	3868	1614	0.0	4745	1383	0.0	813	449	0.0	3938	1356	0.0	3664	2201	0.0	5734	1295	0.0	5490	2911	0.0	6234	2459	0.0	705	441	0.0
+163	cg06036236	2714	3318	0.0	1742	3975	0.0	2394	3494	0.0	2857	3654	0.0	5399	6381	0.0	5951	8101	0.0	1468	1364	0.0	1296	1638	0.0	1401	1657	0.0	1718	1985	0.0	4045	6046	0.0	6226	8786	0.0	8467	6117	0.0	7863	7741	0.0	10225	7356	0.0	8957	7869	0.0	9260	7315	0.0	9468	7735	0.0	6778	6337	0.0	7877	6869	0.0	8948	7762	0.0	7655	8485	0.0	6607	9871	0.0	8280	8840	0.0	6105	6426	0.0	6310	7083	0.0	7399	6535	0.0	8260	6462	0.0	7383	7243	0.0	8782	7980	0.0	6824	5362	0.0	7207	6194	0.0	7731	6667	0.0	9366	5773	0.0	7885	7375	0.0	9280	7831	0.0	8722	5177	0.0	9443	6316	0.0	8302	7282	0.0	7378	7273	0.0	7444	7306	0.0	8182	7544	0.0	7310	6168	0.0	9102	5921	0.0	7302	7334	0.0	8116	8651	0.0	8850	6974	0.0	8211	8628	0.0	6338	6039	0.0	8127	5894	0.0	7601	7328	0.0	8575	7740	0.0	8558	7581	0.0	8452	7891	0.0	6237	4983	0.0	8931	6040	0.0	7690	6399	0.0	6997	7589	0.0	7589	8127	0.0	8463	7835	0.0	7932	5589	0.0	7712	6182	0.0	8936	6722	0.0	8713	7191	0.0	7562	7324	0.0	9582	6627	0.0	7574	5884	0.0	7906	6605	0.0	7614	7072	0.0	8066	7033	0.0	7438	7357	0.0	9082	6802	0.0
+164	cg13904806	2580	2587	0.0	1431	3459	0.0	2449	2466	0.0	3146	2348	0.0	5617	3776	0.0	6719	5929	0.0	1212	1147	0.0	1235	1580	0.0	1075	1552	0.0	1825	1478	0.0	3852	4791	0.0	5433	5849	0.0	8593	9928	0.0	7124	12965	0.0	9488	12002	0.0	7551	12100	0.0	7864	11855	0.0	8919	11504	0.0	6278	8834	0.0	7960	9689	0.0	7710	12080	0.0	7779	11027	0.0	6860	14667	0.0	9288	11964	0.0	6626	9539	0.0	6704	9859	0.0	7523	10717	0.0	7810	9518	0.0	7215	12320	0.0	8571	11064	0.0	5913	8668	0.0	7191	11089	0.0	8365	9172	0.0	9917	7404	0.0	7474	9944	0.0	8401	11190	0.0	8574	8207	0.0	9094	10902	0.0	7918	11126	0.0	7012	11118	0.0	7012	10378	0.0	7034	10813	0.0	6533	9086	0.0	8825	8647	0.0	6973	11843	0.0	7142	14039	0.0	7221	11359	0.0	6694	10602	0.0	5685	9738	0.0	8207	8245	0.0	7642	11213	0.0	8840	10674	0.0	7483	11323	0.0	6879	10093	0.0	5318	9048	0.0	6997	12369	0.0	7612	10245	0.0	7077	9848	0.0	6027	9738	0.0	7461	10225	0.0	5729	10289	0.0	7742	9711	0.0	7612	9813	0.0	7986	10193	0.0	5727	9865	0.0	7654	11721	0.0	7290	10057	0.0	7090	9654	0.0	6686	8761	0.0	5629	10734	0.0	6996	12067	0.0	8377	9171	0.0
+165	cg03269716	3123	2725	0.0	2111	3552	0.0	2747	2805	0.0	3376	2948	0.0	5710	4228	0.0	7525	6906	0.0	1470	1101	0.0	1434	1345	0.0	1672	1750	0.0	1522	1440	0.0	4491	5737	0.0	5444	9090	0.0	10168	5855	0.0	12510	6795	0.0	10627	8556	0.0	10380	8225	0.0	10762	8087	0.0	10305	7004	0.0	8203	5063	0.0	9603	5876	0.0	10212	6959	0.0	9645	6901	0.0	9608	8919	0.0	10980	7292	0.0	8289	6060	0.0	8771	5382	0.0	9962	6117	0.0	9938	7128	0.0	10849	7526	0.0	11790	6637	0.0	7554	4929	0.0	9423	6020	0.0	10156	5319	0.0	9635	5143	0.0	9275	6135	0.0	10543	7084	0.0	10600	5424	0.0	11378	5165	0.0	9661	6061	0.0	9092	7197	0.0	9119	7217	0.0	9544	7844	0.0	9431	5916	0.0	10116	5724	0.0	10066	6593	0.0	10283	8197	0.0	10326	6566	0.0	8505	8963	0.0	8575	5368	0.0	9517	5720	0.0	10047	6659	0.0	10668	5980	0.0	9970	6753	0.0	9433	7677	0.0	9001	4775	0.0	10577	6376	0.0	9307	6320	0.0	8582	6622	0.0	9683	5829	0.0	10224	7336	0.0	9800	5482	0.0	10390	5160	0.0	10642	5578	0.0	10637	6208	0.0	8822	5774	0.0	11639	7686	0.0	9371	5694	0.0	8990	6442	0.0	8965	6568	0.0	9248	7367	0.0	10390	7665	0.0	10047	7284	0.0
+166	cg04121631	3128	837	0.0	2899	1094	0.0	2899	831	0.0	3307	860	0.0	5554	1318	0.0	7260	1764	0.0	1432	352	0.0	1566	445	0.0	1640	405	0.0	1934	575	0.0	4302	2372	0.0	5785	3121	0.0	10390	1565	0.0	11595	2705	0.0	12277	1757	0.0	11140	2124	0.0	11499	2259	0.0	11379	2246	0.0	8882	1575	0.0	10173	1584	0.0	11177	1943	0.0	10046	2633	0.0	11239	3817	0.0	11193	2785	0.0	8894	2019	0.0	9611	2077	0.0	9521	2570	0.0	9675	1594	0.0	9797	2005	0.0	11019	2378	0.0	8443	1193	0.0	9270	1646	0.0	9477	1935	0.0	9924	1065	0.0	10128	1865	0.0	11048	2079	0.0	9751	1287	0.0	10505	1832	0.0	10704	1941	0.0	9007	2177	0.0	10543	2068	0.0	9451	2409	0.0	8912	2247	0.0	10248	1535	0.0	9701	2234	0.0	11509	2671	0.0	10224	2489	0.0	8981	2857	0.0	8234	1809	0.0	9362	1345	0.0	10539	1870	0.0	11445	1849	0.0	10795	2231	0.0	9555	1938	0.0	7788	1838	0.0	10694	3045	0.0	10043	1689	0.0	9344	2071	0.0	9208	2203	0.0	10479	2069	0.0	9375	1629	0.0	9882	1981	0.0	9519	1941	0.0	10953	1648	0.0	8268	2290	0.0	11855	1472	0.0	10289	1549	0.0	9871	2050	0.0	9630	1804	0.0	9473	2789	0.0	10377	2919	0.0	10028	1432	0.0
+167	cg23440882	2348	169	0.0	2078	148	0.0	1985	127	0.0	2169	161	0.0	4213	217	0.0	4712	221	0.0	1101	170	0.0	1121	96	0.0	1164	125	0.0	1184	165	0.0	3570	215	0.0	4144	209	0.0	7003	334	0.0	8215	338	0.0	8823	318	0.0	6859	385	0.0	6759	434	0.0	7652	421	0.0	5335	260	0.0	6902	293	0.0	6982	355	0.0	7357	320	0.0	6839	451	0.0	7305	461	0.0	6143	263	0.0	6183	295	0.0	6772	275	0.0	6713	241	0.0	7248	283	0.0	7394	356	0.0	5320	206	0.0	6304	331	0.0	6105	289	0.0	6177	288	0.0	6390	395	0.0	7506	348	0.0	6177	491	0.0	6201	625	0.0	6912	507	0.0	6205	534	0.0	6636	384	0.0	6041	460	0.0	6285	362	0.0	6312	512	0.0	6726	620	0.0	7714	560	0.0	6225	454	0.0	6029	367	0.0	5336	264	0.0	6173	334	0.0	6999	353	0.0	7776	332	0.0	6889	424	0.0	5561	298	0.0	5336	212	0.0	7381	291	0.0	6389	255	0.0	5654	323	0.0	6082	301	0.0	5970	345	0.0	6583	370	0.0	6204	396	0.0	6854	471	0.0	6310	370	0.0	5094	292	0.0	6115	368	0.0	6827	371	0.0	6122	397	0.0	6356	415	0.0	6091	432	0.0	7118	451	0.0	6290	437	0.0
+168	cg23112672	3162	440	0.0	2707	504	0.0	2484	361	0.0	2865	608	0.0	5403	984	0.0	6463	1245	0.0	1337	234	0.0	1580	307	0.0	1515	275	0.0	1505	293	0.0	4323	1072	0.0	5845	1599	0.0	8711	951	0.0	10664	973	0.0	11663	1291	0.0	9352	907	0.0	9039	944	0.0	9711	1029	0.0	7063	831	0.0	9231	742	0.0	9656	884	0.0	9775	1111	0.0	9607	1079	0.0	9757	939	0.0	7958	808	0.0	5280	2744	0.0	8587	834	0.0	8493	749	0.0	9516	893	0.0	10456	1172	0.0	7139	575	0.0	8704	696	0.0	5037	2579	0.0	9237	757	0.0	8776	771	0.0	10775	831	0.0	8344	869	0.0	9632	828	0.0	9572	962	0.0	9090	940	0.0	9350	1161	0.0	8968	1214	0.0	8516	787	0.0	8385	886	0.0	8560	957	0.0	10514	1116	0.0	8851	1144	0.0	8342	1235	0.0	7487	622	0.0	8721	858	0.0	9755	864	0.0	10332	864	0.0	9702	822	0.0	8653	792	0.0	4413	2109	0.0	6459	3128	0.0	9011	796	0.0	8105	858	0.0	8194	896	0.0	9105	1004	0.0	8836	647	0.0	5268	2504	0.0	5387	2632	0.0	9355	722	0.0	4542	2565	0.0	9626	981	0.0	8520	740	0.0	9213	741	0.0	8642	850	0.0	8403	792	0.0	9818	1028	0.0	8459	974	0.0
+169	cg15896339	5009	217	0.0	4168	198	0.0	4259	167	0.0	5073	266	0.0	8236	372	0.0	9071	412	0.0	2185	164	0.0	2027	170	0.0	2446	169	0.0	2193	163	0.0	6531	294	0.0	8203	350	0.0	12782	781	0.0	14369	732	0.0	14938	927	0.0	13300	852	0.0	13038	722	0.0	13639	982	0.0	9967	539	0.0	12308	681	0.0	12454	751	0.0	13028	833	0.0	13711	848	0.0	13204	1091	0.0	10890	702	0.0	10332	606	0.0	11444	695	0.0	10855	620	0.0	12104	736	0.0	13816	877	0.0	9450	381	0.0	11291	598	0.0	10481	555	0.0	10671	675	0.0	10866	605	0.0	12788	837	0.0	11099	714	0.0	11629	901	0.0	12080	869	0.0	10825	843	0.0	10594	884	0.0	10298	752	0.0	10761	622	0.0	11596	806	0.0	11601	758	0.0	13548	726	0.0	11765	753	0.0	11458	835	0.0	9764	487	0.0	11018	484	0.0	12263	686	0.0	12785	834	0.0	12063	768	0.0	11147	565	0.0	9113	364	0.0	12741	659	0.0	12046	521	0.0	11033	666	0.0	10827	594	0.0	11370	544	0.0	11478	549	0.0	11761	607	0.0	11871	731	0.0	11492	702	0.0	9764	552	0.0	12838	679	0.0	12494	592	0.0	12233	693	0.0	11001	528	0.0	10910	706	0.0	13311	778	0.0	11929	571	0.0
+170	cg12454161	3145	952	0.0	2601	1199	0.0	2485	879	0.0	2880	1079	0.0	5543	2118	0.0	6000	3012	0.0	1362	532	0.0	1298	548	0.0	1400	534	0.0	1528	552	0.0	3643	2114	0.0	5128	2812	0.0	9458	2273	0.0	9974	2659	0.0	11493	2902	0.0	9271	2532	0.0	9843	2312	0.0	9977	2479	0.0	7909	1890	0.0	8401	2141	0.0	9204	2332	0.0	9126	2855	0.0	9358	2784	0.0	9781	2614	0.0	7651	1770	0.0	7343	1989	0.0	8316	1856	0.0	8163	1739	0.0	8780	2234	0.0	9064	2359	0.0	6846	1502	0.0	8240	1732	0.0	8296	2279	0.0	7823	1675	0.0	8356	2095	0.0	9203	2003	0.0	9044	2100	0.0	10086	1904	0.0	10529	2553	0.0	10054	2490	0.0	9723	2975	0.0	9279	2773	0.0	8785	2044	0.0	9220	2372	0.0	9025	2407	0.0	10067	2710	0.0	9581	3043	0.0	9228	3295	0.0	7854	1820	0.0	8592	2062	0.0	9358	2313	0.0	9888	2637	0.0	9713	2689	0.0	9208	2447	0.0	7675	1763	0.0	9857	2434	0.0	9044	2288	0.0	8335	2448	0.0	8376	2379	0.0	9170	2986	0.0	9112	2211	0.0	9532	2046	0.0	9863	2094	0.0	9616	2553	0.0	8851	2263	0.0	10565	2645	0.0	9493	2294	0.0	9793	2472	0.0	9316	2383	0.0	9131	2686	0.0	9898	2767	0.0	9623	2359	0.0
+171	cg09180262	2680	337	0.0	2133	381	0.0	2469	270	0.0	2676	439	0.0	4937	755	0.0	6037	848	0.0	1329	206	0.0	1384	184	0.0	1401	183	0.0	1568	192	0.0	3719	709	0.0	5121	976	0.0	9101	556	0.0	10624	764	0.0	11551	868	0.0	9406	766	0.0	8879	676	0.0	9560	845	0.0	6730	551	0.0	8590	567	0.0	9004	661	0.0	9359	803	0.0	9059	958	0.0	9276	774	0.0	7201	585	0.0	7252	628	0.0	7697	678	0.0	7801	577	0.0	9405	710	0.0	9431	744	0.0	6921	459	0.0	7831	489	0.0	7609	602	0.0	8064	640	0.0	7655	630	0.0	9359	664	0.0	7659	646	0.0	8171	732	0.0	8711	770	0.0	6979	800	0.0	8220	846	0.0	7246	1048	0.0	7636	583	0.0	8036	690	0.0	8443	693	0.0	9362	883	0.0	7966	741	0.0	7976	1018	0.0	6351	473	0.0	7311	657	0.0	8418	712	0.0	9127	776	0.0	8443	723	0.0	7417	668	0.0	6681	501	0.0	9566	702	0.0	7996	652	0.0	7246	728	0.0	7571	707	0.0	7673	724	0.0	7222	486	0.0	8250	635	0.0	8371	736	0.0	8043	683	0.0	6205	512	0.0	8131	675	0.0	8591	522	0.0	8240	582	0.0	7259	650	0.0	7439	852	0.0	9416	978	0.0	8067	756	0.0
+172	cg24045482	2982	206	0.0	2392	187	0.0	2316	240	0.0	2762	181	0.0	4790	258	0.0	5549	398	0.0	1327	143	0.0	1251	162	0.0	1329	200	0.0	1512	155	0.0	3679	277	0.0	4766	327	0.0	8879	594	0.0	9392	649	0.0	11096	691	0.0	8788	589	0.0	8388	720	0.0	9200	779	0.0	7304	486	0.0	8582	580	0.0	8524	570	0.0	7980	591	0.0	8616	629	0.0	8804	761	0.0	7205	385	0.0	7134	441	0.0	7595	533	0.0	8051	429	0.0	8717	596	0.0	8943	695	0.0	6437	391	0.0	7883	441	0.0	6950	410	0.0	7689	528	0.0	7260	498	0.0	9740	525	0.0	7219	612	0.0	7855	670	0.0	8187	766	0.0	7367	682	0.0	7898	687	0.0	7303	628	0.0	7120	566	0.0	7350	649	0.0	7636	680	0.0	8975	753	0.0	7417	679	0.0	7033	584	0.0	7068	416	0.0	7194	495	0.0	8147	493	0.0	8699	575	0.0	8039	472	0.0	7048	487	0.0	5985	485	0.0	8507	589	0.0	7775	489	0.0	6881	494	0.0	7282	422	0.0	7443	520	0.0	7590	588	0.0	8056	594	0.0	7815	547	0.0	7396	538	0.0	6186	370	0.0	7981	629	0.0	8227	603	0.0	7308	668	0.0	7563	527	0.0	7814	439	0.0	8805	714	0.0	8053	720	0.0
+173	cg09988062	3561	269	0.0	3226	236	0.0	3165	166	0.0	3775	193	0.0	5710	304	0.0	5916	342	0.0	1522	164	0.0	1463	120	0.0	1864	123	0.0	1875	137	0.0	4191	289	0.0	6042	368	0.0	8388	597	0.0	10285	592	0.0	11196	504	0.0	9887	567	0.0	9515	572	0.0	10040	640	0.0	7379	394	0.0	8192	469	0.0	9387	507	0.0	9485	585	0.0	9960	580	0.0	10053	656	0.0	7645	366	0.0	7277	444	0.0	8109	336	0.0	8160	337	0.0	8806	486	0.0	10101	396	0.0	6560	259	0.0	8359	314	0.0	8180	332	0.0	8589	352	0.0	8412	339	0.0	9901	474	0.0	8225	602	0.0	8732	706	0.0	8851	653	0.0	8195	485	0.0	8550	551	0.0	8285	612	0.0	7160	536	0.0	8141	650	0.0	8254	526	0.0	9882	651	0.0	7984	536	0.0	7806	475	0.0	7268	362	0.0	8298	398	0.0	8555	492	0.0	9706	406	0.0	9018	391	0.0	7989	504	0.0	6704	324	0.0	9152	471	0.0	9015	378	0.0	7826	426	0.0	7867	400	0.0	8150	432	0.0	7616	533	0.0	7463	430	0.0	8163	594	0.0	7754	520	0.0	6880	477	0.0	8781	505	0.0	7523	528	0.0	8490	575	0.0	7200	568	0.0	7761	471	0.0	8436	529	0.0	7896	586	0.0
+174	cg22416074	1956	266	0.0	1722	336	0.0	1855	251	0.0	2162	295	0.0	3853	635	0.0	4189	656	0.0	987	175	0.0	1008	165	0.0	1049	211	0.0	1074	387	0.0	2730	641	0.0	4097	774	0.0	7238	490	0.0	8035	685	0.0	8719	802	0.0	7218	695	0.0	6970	651	0.0	7485	736	0.0	5645	494	0.0	6710	685	0.0	7196	644	0.0	7068	722	0.0	6946	868	0.0	7555	765	0.0	6030	568	0.0	5984	643	0.0	6406	613	0.0	6479	551	0.0	7129	691	0.0	7124	646	0.0	5385	409	0.0	6137	472	0.0	6384	714	0.0	6239	582	0.0	6142	565	0.0	7433	678	0.0	7451	655	0.0	6991	801	0.0	6868	654	0.0	6919	744	0.0	6888	787	0.0	6014	1047	0.0	5942	533	0.0	6727	777	0.0	6956	670	0.0	7968	872	0.0	6918	848	0.0	7029	1023	0.0	5402	547	0.0	6698	587	0.0	7036	682	0.0	7338	614	0.0	7257	633	0.0	6181	802	0.0	5874	433	0.0	7538	616	0.0	7140	641	0.0	6211	707	0.0	6253	657	0.0	7022	685	0.0	6622	483	0.0	6628	595	0.0	7036	575	0.0	7104	712	0.0	5974	572	0.0	7124	626	0.0	6826	569	0.0	6830	654	0.0	6708	641	0.0	6305	630	0.0	7827	735	0.0	6903	694	0.0
+175	cg19724344	1334	313	0.0	1222	318	0.0	1003	347	0.0	1265	329	0.0	2305	724	0.0	2548	703	0.0	696	179	0.0	561	242	0.0	646	182	0.0	660	208	0.0	1702	628	0.0	2498	822	0.0	4487	595	0.0	4817	715	0.0	5307	769	0.0	4483	757	0.0	4189	677	0.0	4404	739	0.0	3084	459	0.0	4051	676	0.0	4536	709	0.0	4332	886	0.0	4011	848	0.0	4535	910	0.0	3339	489	0.0	3743	525	0.0	3439	454	0.0	3371	540	0.0	3800	600	0.0	4410	676	0.0	3144	364	0.0	3570	452	0.0	3245	577	0.0	3620	468	0.0	3420	500	0.0	4068	454	0.0	3924	675	0.0	4099	741	0.0	4246	595	0.0	3918	737	0.0	4238	800	0.0	3910	987	0.0	4018	587	0.0	3855	630	0.0	3915	655	0.0	4723	774	0.0	3830	840	0.0	4000	900	0.0	3505	500	0.0	3830	657	0.0	3906	567	0.0	4849	800	0.0	4606	789	0.0	4077	794	0.0	3345	510	0.0	4571	647	0.0	4210	593	0.0	3764	717	0.0	3768	641	0.0	3951	779	0.0	4186	509	0.0	3744	595	0.0	4080	701	0.0	4129	555	0.0	3301	585	0.0	3945	726	0.0	4012	531	0.0	4316	565	0.0	4192	745	0.0	3846	822	0.0	4321	703	0.0	4130	793	0.0
+176	cg06838427	3409	413	0.0	3387	636	0.0	3254	513	0.0	3515	516	0.0	6741	1236	0.0	7696	1426	0.0	1547	208	0.0	1567	230	0.0	1711	284	0.0	1585	338	0.0	4634	1083	0.0	7172	1603	0.0	11042	791	0.0	13351	1267	0.0	13089	1105	0.0	11675	955	0.0	12440	996	0.0	12237	1202	0.0	8722	682	0.0	10726	847	0.0	10742	999	0.0	11055	1042	0.0	11299	1177	0.0	11674	1235	0.0	9405	789	0.0	9446	761	0.0	9154	857	0.0	9564	835	0.0	10020	884	0.0	12059	1178	0.0	8614	650	0.0	9635	721	0.0	8864	816	0.0	9987	877	0.0	9686	808	0.0	11601	1078	0.0	10682	930	0.0	10533	1022	0.0	10651	1076	0.0	10062	908	0.0	10538	1159	0.0	9229	1436	0.0	9403	816	0.0	10125	1063	0.0	9624	947	0.0	11164	1136	0.0	9608	1053	0.0	9641	1403	0.0	8720	615	0.0	9341	857	0.0	11432	1050	0.0	11793	1012	0.0	10392	942	0.0	10032	1009	0.0	8660	698	0.0	11326	892	0.0	10194	912	0.0	8966	854	0.0	9330	855	0.0	9702	1054	0.0	9879	854	0.0	9912	821	0.0	10464	975	0.0	10428	1023	0.0	9270	1050	0.0	10907	1040	0.0	10329	782	0.0	10006	883	0.0	9989	916	0.0	9526	1020	0.0	11251	1075	0.0	10216	1181	0.0
+177	cg10827460	195	3724	0.0	153	4399	0.0	242	4393	0.0	254	5012	0.0	419	8263	0.0	624	12079	0.0	155	1882	0.0	139	2050	0.0	163	2054	0.0	222	2837	0.0	393	7852	0.0	599	12216	0.0	395	9285	0.0	673	11194	0.0	825	10843	0.0	544	11969	0.0	584	11634	0.0	674	11924	0.0	445	8486	0.0	463	9554	0.0	519	11573	0.0	536	12379	0.0	529	12603	0.0	595	12848	0.0	376	9293	0.0	431	9847	0.0	457	10531	0.0	500	10449	0.0	555	11204	0.0	387	12651	0.0	293	7925	0.0	589	8890	0.0	476	10129	0.0	380	10439	0.0	488	11426	0.0	354	11488	0.0	600	8522	0.0	540	8790	0.0	524	10153	0.0	624	10291	0.0	753	11224	0.0	760	11532	0.0	433	8538	0.0	580	9277	0.0	496	10322	0.0	634	11728	0.0	542	11537	0.0	641	12490	0.0	369	7719	0.0	425	9642	0.0	584	10162	0.0	604	11279	0.0	385	11531	0.0	566	11315	0.0	333	7143	0.0	387	9473	0.0	575	10092	0.0	556	10994	0.0	434	11073	0.0	567	11907	0.0	351	7735	0.0	394	8479	0.0	451	9461	0.0	507	10306	0.0	368	9976	0.0	534	11410	0.0	389	7789	0.0	489	9179	0.0	378	9699	0.0	617	10427	0.0	585	10701	0.0	407	10327	0.0
+178	cg15742605	223	4378	0.0	209	4446	0.0	338	4046	0.0	275	4742	0.0	353	7360	0.0	869	9310	0.0	371	2186	0.0	172	2199	0.0	234	2419	0.0	242	2519	0.0	597	6338	0.0	697	8523	0.0	920	13948	0.0	1202	15295	0.0	726	14969	0.0	1113	15738	0.0	1010	14590	0.0	1206	14781	0.0	711	13022	0.0	842	13191	0.0	937	14229	0.0	1008	14313	0.0	1043	16079	0.0	1247	15423	0.0	744	12005	0.0	723	12322	0.0	893	12617	0.0	870	12660	0.0	1082	13605	0.0	1185	14770	0.0	718	11521	0.0	972	13418	0.0	992	12700	0.0	917	13101	0.0	957	13304	0.0	867	15173	0.0	1123	13637	0.0	1111	13364	0.0	1060	13361	0.0	886	14290	0.0	1096	13848	0.0	890	13233	0.0	927	11684	0.0	911	13351	0.0	1056	14470	0.0	916	14917	0.0	902	14026	0.0	785	12491	0.0	780	11354	0.0	654	13177	0.0	843	14753	0.0	1217	14601	0.0	854	13898	0.0	861	13806	0.0	693	11488	0.0	754	14669	0.0	812	13024	0.0	730	12950	0.0	717	12866	0.0	824	13483	0.0	748	12661	0.0	863	13299	0.0	847	14433	0.0	662	14221	0.0	517	12853	0.0	748	14696	0.0	998	12844	0.0	805	13872	0.0	842	12813	0.0	937	13456	0.0	1047	14339	0.0	816	13842	0.0
+179	cg09756115	1857	3653	0.0	1057	3690	0.0	1774	3466	0.0	1791	3696	0.0	2699	6791	0.0	4353	9435	0.0	788	1443	0.0	762	1781	0.0	919	1667	0.0	998	2451	0.0	2122	6157	0.0	4084	9046	0.0	5216	7162	0.0	6251	7650	0.0	6265	8160	0.0	5989	8838	0.0	5969	8083	0.0	6489	8352	0.0	4685	6469	0.0	5311	7370	0.0	5809	8553	0.0	5816	9162	0.0	5255	9588	0.0	7399	8746	0.0	5391	6485	0.0	5095	7180	0.0	5444	7304	0.0	5109	6924	0.0	5338	7063	0.0	7467	8389	0.0	4746	5628	0.0	5089	6769	0.0	5425	7320	0.0	5426	6571	0.0	5692	7598	0.0	6038	8611	0.0	5900	6557	0.0	6489	6955	0.0	6036	7657	0.0	5487	8060	0.0	6074	7659	0.0	5112	8553	0.0	5579	6160	0.0	5075	7049	0.0	5842	7217	0.0	5917	8817	0.0	5375	8191	0.0	4985	9413	0.0	4723	6225	0.0	5583	7196	0.0	5747	7868	0.0	6988	7746	0.0	5786	8541	0.0	4997	8113	0.0	4569	5600	0.0	6158	6778	0.0	5741	7015	0.0	5053	7606	0.0	5059	7770	0.0	5508	8532	0.0	5911	6476	0.0	5891	6494	0.0	5730	6959	0.0	5447	7975	0.0	4827	7659	0.0	5670	7971	0.0	5420	6664	0.0	5223	7267	0.0	5537	7482	0.0	5072	7688	0.0	6178	8169	0.0	5863	7630	0.0
+180	cg23731742	2736	2689	0.0	1842	3795	0.0	2758	2485	0.0	3302	2684	0.0	5919	4705	0.0	5889	5599	0.0	1591	904	0.0	1406	1205	0.0	1769	1463	0.0	1937	1654	0.0	4480	3794	0.0	5901	5028	0.0	6684	7020	0.0	9592	7711	0.0	9023	8201	0.0	7772	8560	0.0	7821	8102	0.0	8462	7736	0.0	5895	6412	0.0	7240	6785	0.0	7153	7652	0.0	7192	8119	0.0	6385	9572	0.0	8977	7632	0.0	6552	5933	0.0	6492	6051	0.0	7243	6593	0.0	7303	6754	0.0	7801	8152	0.0	9491	7511	0.0	6260	5380	0.0	7094	6413	0.0	6956	6489	0.0	6688	7362	0.0	7523	7023	0.0	7679	8681	0.0	6005	6518	0.0	6108	6904	0.0	7289	7487	0.0	6003	7297	0.0	6751	6931	0.0	5726	6555	0.0	5228	5996	0.0	6033	7545	0.0	6580	7221	0.0	7981	8503	0.0	5918	7159	0.0	5449	7138	0.0	5413	5678	0.0	6555	6765	0.0	7080	7222	0.0	7808	7526	0.0	7089	7879	0.0	5926	6908	0.0	5785	5274	0.0	7433	7406	0.0	7378	7324	0.0	6843	6583	0.0	6172	6420	0.0	5814	7445	0.0	5461	6337	0.0	5937	6592	0.0	6671	7231	0.0	6182	7436	0.0	4725	5865	0.0	5892	7432	0.0	7838	6508	0.0	5399	6593	0.0	7035	6521	0.0	5666	6755	0.0	7785	7294	0.0	6107	7492	0.0
+181	cg23912452	1477	3670	0.0	1033	3623	0.0	1513	3892	0.0	1408	4551	0.0	2402	7910	0.0	3159	10063	0.0	801	1835	0.0	730	2176	0.0	863	1999	0.0	958	2696	0.0	2198	7496	0.0	2640	9935	0.0	5384	8001	0.0	4905	9006	0.0	5738	8363	0.0	5187	9979	0.0	5220	9359	0.0	5500	10214	0.0	4281	6857	0.0	5135	8499	0.0	5297	9337	0.0	5248	10065	0.0	5688	10243	0.0	5182	10487	0.0	4248	7691	0.0	4421	8512	0.0	4378	8082	0.0	4491	8827	0.0	4788	9256	0.0	5236	10057	0.0	4125	6935	0.0	4617	7935	0.0	4298	8721	0.0	4546	8438	0.0	4918	8932	0.0	4738	9771	0.0	4724	7507	0.0	5052	7771	0.0	4976	8754	0.0	4173	8877	0.0	4820	9074	0.0	4271	9928	0.0	3916	6883	0.0	4374	7630	0.0	4382	9037	0.0	5079	9149	0.0	4136	9497	0.0	4478	10617	0.0	4284	7129	0.0	4147	7746	0.0	4510	9005	0.0	5013	9064	0.0	4577	9537	0.0	4022	8790	0.0	3906	6389	0.0	4842	7729	0.0	3920	7661	0.0	4227	8968	0.0	3955	9593	0.0	4553	10985	0.0	3990	6936	0.0	4837	7687	0.0	5489	8193	0.0	4694	8881	0.0	3466	8336	0.0	5265	9599	0.0	4459	7067	0.0	4247	7957	0.0	3776	7916	0.0	4650	9345	0.0	5125	9249	0.0	5151	9313	0.0
+182	cg06511482	979	3763	0.0	774	4120	0.0	1162	3780	0.0	1255	4881	0.0	2393	7868	0.0	2711	10869	0.0	707	1931	0.0	733	1848	0.0	592	1902	0.0	791	2771	0.0	2154	7476	0.0	3166	10142	0.0	4825	8262	0.0	5552	8956	0.0	5545	9793	0.0	3925	10212	0.0	4348	9843	0.0	4513	10015	0.0	3222	7147	0.0	4081	7980	0.0	3958	9267	0.0	4229	10067	0.0	3598	10692	0.0	4491	10227	0.0	3653	7630	0.0	3756	7594	0.0	4041	8358	0.0	3511	8588	0.0	3853	9134	0.0	4253	10431	0.0	3534	6776	0.0	3749	7618	0.0	3847	8245	0.0	4144	8315	0.0	3932	8954	0.0	4309	9271	0.0	4343	7273	0.0	4724	7271	0.0	4317	8852	0.0	3970	8924	0.0	3912	8649	0.0	3807	9745	0.0	4028	7163	0.0	4008	8116	0.0	4364	8598	0.0	4433	9748	0.0	4214	9065	0.0	3971	10814	0.0	3648	7132	0.0	3833	7873	0.0	3846	8579	0.0	4484	9367	0.0	4430	9244	0.0	3766	9600	0.0	3710	6327	0.0	4555	8273	0.0	4157	8644	0.0	3795	9008	0.0	3424	9518	0.0	3623	10573	0.0	3828	6954	0.0	4056	7796	0.0	4382	7902	0.0	3936	8665	0.0	3277	8396	0.0	4270	9350	0.0	4244	7185	0.0	4274	7791	0.0	4223	7961	0.0	4022	8866	0.0	4239	9544	0.0	4208	8990	0.0
+183	cg17153432	2134	4400	0.0	1357	4054	0.0	1640	3672	0.0	2022	4239	0.0	3772	7796	0.0	5003	8409	0.0	996	2010	0.0	962	1867	0.0	1088	2012	0.0	1143	2273	0.0	3201	5423	0.0	4266	7779	0.0	7441	14162	0.0	9408	14225	0.0	7577	15954	0.0	8003	15357	0.0	7237	15065	0.0	7534	15512	0.0	5343	12242	0.0	5663	13859	0.0	6680	14858	0.0	7303	13937	0.0	6167	15034	0.0	7427	15236	0.0	6308	12275	0.0	5516	11814	0.0	6253	12272	0.0	6696	12577	0.0	5885	13276	0.0	7160	14779	0.0	4669	11502	0.0	6041	12327	0.0	6275	11784	0.0	6311	12457	0.0	6312	13531	0.0	6177	15019	0.0	7062	13424	0.0	7422	13936	0.0	6597	15878	0.0	6155	14018	0.0	6276	14606	0.0	5907	13790	0.0	5600	12708	0.0	6685	13606	0.0	6660	14285	0.0	7260	15512	0.0	6313	14388	0.0	6570	13866	0.0	5635	11107	0.0	6040	12716	0.0	7390	13378	0.0	7520	14389	0.0	6733	14425	0.0	5778	14753	0.0	5365	11951	0.0	6968	13695	0.0	6166	13517	0.0	6248	12146	0.0	6392	13289	0.0	6394	13632	0.0	7095	14036	0.0	6764	13769	0.0	7007	13604	0.0	6936	13938	0.0	6225	12700	0.0	6629	15610	0.0	7002	13870	0.0	6797	13436	0.0	6770	13289	0.0	6865	13400	0.0	7416	14688	0.0	5955	14355	0.0
+184	cg00113194	982	3085	0.0	790	2840	0.0	882	3313	0.0	1020	3438	0.0	1770	6449	0.0	2160	6755	0.0	439	1496	0.0	461	1605	0.0	505	1803	0.0	691	2116	0.0	1290	4395	0.0	1479	6517	0.0	2497	9461	0.0	3265	10292	0.0	3405	10827	0.0	2741	11155	0.0	2738	11287	0.0	2871	11592	0.0	2453	9175	0.0	2582	9633	0.0	2341	10223	0.0	2738	10956	0.0	2451	12127	0.0	3218	11898	0.0	2518	8307	0.0	2368	9142	0.0	2420	9821	0.0	2248	9536	0.0	2285	10189	0.0	2538	11063	0.0	2219	7784	0.0	2237	9715	0.0	2584	8975	0.0	2329	10139	0.0	2499	10428	0.0	2480	11095	0.0	3073	9730	0.0	2952	10639	0.0	3346	10899	0.0	2787	11184	0.0	2766	10525	0.0	2438	10932	0.0	2435	9078	0.0	2943	9960	0.0	3064	10592	0.0	2588	11677	0.0	3303	10713	0.0	2830	10973	0.0	2403	8377	0.0	2664	9537	0.0	2709	10555	0.0	2658	11303	0.0	2669	10482	0.0	2668	10938	0.0	2370	8073	0.0	2677	10169	0.0	2452	9782	0.0	2843	9279	0.0	2539	9778	0.0	2787	10267	0.0	2365	8384	0.0	3011	8979	0.0	2773	9897	0.0	2740	9925	0.0	2341	9909	0.0	3137	11392	0.0	2412	8584	0.0	2485	8662	0.0	2555	8719	0.0	2655	8466	0.0	3811	9704	0.0	2982	10059	0.0
+185	cg02968844	782	4444	0.0	625	4494	0.0	755	4189	0.0	907	5034	0.0	2042	9020	0.0	2000	12587	0.0	546	1953	0.0	507	2377	0.0	539	2211	0.0	632	2863	0.0	1438	8455	0.0	2269	11991	0.0	2536	9299	0.0	3139	10953	0.0	3734	11671	0.0	2697	11832	0.0	2551	11239	0.0	2557	12245	0.0	2287	9058	0.0	2319	9993	0.0	2579	10892	0.0	2748	12094	0.0	3034	12852	0.0	2757	12571	0.0	2295	9441	0.0	2010	10248	0.0	2376	10032	0.0	2383	10272	0.0	2534	10979	0.0	2559	12356	0.0	1894	8157	0.0	2212	9536	0.0	2149	10036	0.0	2252	10607	0.0	2288	11135	0.0	2895	10914	0.0	2564	9230	0.0	2943	10182	0.0	2906	10374	0.0	2411	10735	0.0	2926	10902	0.0	2550	12851	0.0	2007	8957	0.0	2226	9988	0.0	2622	10314	0.0	2951	11350	0.0	2698	11526	0.0	2185	13383	0.0	2127	8609	0.0	2176	9517	0.0	2577	10761	0.0	2933	11101	0.0	2700	12138	0.0	2202	12339	0.0	2194	8244	0.0	2927	9940	0.0	2628	10510	0.0	2597	11478	0.0	2164	10935	0.0	2677	12118	0.0	2420	8649	0.0	2547	8935	0.0	2465	10485	0.0	2453	11088	0.0	1706	10414	0.0	2698	11487	0.0	2679	8937	0.0	2363	9360	0.0	2243	10015	0.0	2367	10820	0.0	3488	11301	0.0	2699	11262	0.0
+186	cg16248916	362	3834	0.0	337	3831	0.0	481	4209	0.0	620	4651	0.0	935	7726	0.0	1121	11320	0.0	275	1740	0.0	377	1804	0.0	265	1846	0.0	296	2791	0.0	941	6905	0.0	1100	9998	0.0	1133	7934	0.0	1281	9047	0.0	1535	8519	0.0	1288	10679	0.0	1278	9820	0.0	1514	10740	0.0	980	7337	0.0	1134	8416	0.0	1434	9430	0.0	1590	10484	0.0	1405	11231	0.0	1580	11407	0.0	1223	7308	0.0	859	7975	0.0	935	8806	0.0	1089	8013	0.0	1031	8266	0.0	1230	10082	0.0	806	6196	0.0	993	7765	0.0	940	8107	0.0	1445	8425	0.0	1138	9709	0.0	1290	8632	0.0	1187	6882	0.0	1422	7814	0.0	1272	8813	0.0	1424	8092	0.0	1322	9205	0.0	1384	10246	0.0	1155	6434	0.0	1169	8145	0.0	1409	8286	0.0	1488	9804	0.0	1521	9777	0.0	1396	10154	0.0	1124	7112	0.0	1325	7670	0.0	1449	8699	0.0	1238	8960	0.0	1104	9644	0.0	818	9986	0.0	1127	6517	0.0	1714	7910	0.0	987	8538	0.0	1452	9275	0.0	1160	9589	0.0	1250	9962	0.0	1349	6906	0.0	1280	7811	0.0	1280	8619	0.0	1414	8782	0.0	1199	8941	0.0	1212	8865	0.0	1145	7351	0.0	1281	8163	0.0	990	7875	0.0	1401	9088	0.0	1190	9344	0.0	1349	8859	0.0
+187	cg20322444	1151	4972	0.0	764	5363	0.0	1388	5451	0.0	1448	5575	0.0	2580	9378	0.0	3650	13490	0.0	776	2408	0.0	726	2494	0.0	759	2389	0.0	905	3532	0.0	2614	9450	0.0	3056	12737	0.0	4424	9516	0.0	4542	11438	0.0	4826	10915	0.0	4541	12797	0.0	4456	11178	0.0	5308	11832	0.0	4050	8404	0.0	3599	10266	0.0	4390	11795	0.0	4627	12263	0.0	4820	13378	0.0	5142	13197	0.0	4106	9442	0.0	3960	9781	0.0	4497	10973	0.0	4162	10684	0.0	4069	11062	0.0	6157	12432	0.0	3783	8587	0.0	3773	9908	0.0	3813	10561	0.0	3839	10359	0.0	4101	10927	0.0	4110	11794	0.0	4416	8262	0.0	4716	9476	0.0	5077	10519	0.0	4857	11616	0.0	3708	11931	0.0	2965	11296	0.0	4483	8290	0.0	4586	10122	0.0	4783	10946	0.0	4651	12607	0.0	4791	12074	0.0	3618	13847	0.0	3925	8809	0.0	4389	9845	0.0	4493	10556	0.0	3813	10816	0.0	4684	12183	0.0	4264	12340	0.0	3587	7938	0.0	5153	9476	0.0	3755	10146	0.0	4374	11478	0.0	3623	11452	0.0	4316	11953	0.0	3941	8702	0.0	3958	9734	0.0	4392	10250	0.0	4850	11202	0.0	3734	10772	0.0	4411	11931	0.0	4465	8983	0.0	3514	9566	0.0	3725	10227	0.0	4804	11122	0.0	5578	11122	0.0	3804	12166	0.0
+188	cg07983659	366	2933	0.0	288	3325	0.0	300	3262	0.0	297	4039	0.0	431	6797	0.0	1077	10063	0.0	285	1460	0.0	219	1610	0.0	217	1580	0.0	207	2473	0.0	507	6372	0.0	603	8744	0.0	676	6282	0.0	859	7657	0.0	1091	7694	0.0	889	7935	0.0	931	7310	0.0	869	7984	0.0	823	5561	0.0	782	6937	0.0	1009	7478	0.0	1008	8019	0.0	952	8929	0.0	1110	8772	0.0	810	6144	0.0	841	6307	0.0	721	6899	0.0	792	6796	0.0	747	7008	0.0	1072	8684	0.0	612	5451	0.0	865	6706	0.0	677	7024	0.0	804	6848	0.0	829	7073	0.0	982	7446	0.0	1028	5665	0.0	1273	6783	0.0	1228	6834	0.0	945	7731	0.0	1018	7538	0.0	962	8253	0.0	706	5252	0.0	962	6763	0.0	809	6894	0.0	933	7639	0.0	876	8151	0.0	750	8575	0.0	669	5688	0.0	656	6422	0.0	881	6752	0.0	777	7149	0.0	857	7809	0.0	646	7516	0.0	719	5076	0.0	1058	6898	0.0	760	6629	0.0	800	7869	0.0	982	7065	0.0	831	8571	0.0	891	5626	0.0	761	6309	0.0	883	6918	0.0	940	7348	0.0	705	6686	0.0	919	7851	0.0	1051	5970	0.0	745	6214	0.0	739	6045	0.0	848	7441	0.0	940	7421	0.0	937	7187	0.0
+189	cg11733071	388	3407	0.0	414	3055	0.0	294	3070	0.0	384	3051	0.0	705	6051	0.0	775	6618	0.0	246	1534	0.0	209	1578	0.0	333	1747	0.0	302	1817	0.0	504	4249	0.0	702	6425	0.0	1210	9968	0.0	1360	11273	0.0	1251	12052	0.0	1115	11319	0.0	1397	11558	0.0	1231	11412	0.0	1256	9103	0.0	1107	9821	0.0	1302	10949	0.0	1239	10869	0.0	1332	11001	0.0	1379	11085	0.0	936	8004	0.0	952	8830	0.0	1079	9154	0.0	942	8852	0.0	1058	9908	0.0	1262	10595	0.0	985	8207	0.0	1059	9223	0.0	896	9062	0.0	985	9024	0.0	1050	9585	0.0	1199	10413	0.0	1306	9477	0.0	1155	10256	0.0	1253	10946	0.0	1162	10810	0.0	1017	9701	0.0	1255	8972	0.0	990	8626	0.0	1157	9625	0.0	1062	9922	0.0	1099	10501	0.0	1243	10220	0.0	1106	9182	0.0	895	8494	0.0	1029	9684	0.0	1066	10100	0.0	1333	10614	0.0	1227	10654	0.0	988	10707	0.0	862	8180	0.0	1094	9936	0.0	1007	9441	0.0	955	9020	0.0	1033	9105	0.0	771	9976	0.0	1277	9945	0.0	935	9676	0.0	1218	9672	0.0	958	9797	0.0	803	9096	0.0	1259	10628	0.0	1091	9295	0.0	1075	10133	0.0	966	9643	0.0	947	9050	0.0	1113	9590	0.0	966	9589	0.0
+190	cg01394461	1028	3698	0.0	1291	4526	0.0	1075	4004	0.0	1035	4643	0.0	1766	8312	0.0	2392	10472	0.0	444	1940	0.0	603	2026	0.0	720	1947	0.0	727	2487	0.0	1278	6990	0.0	2561	10964	0.0	3159	8382	0.0	3948	8978	0.0	4030	9207	0.0	3965	10498	0.0	3891	9807	0.0	3647	10467	0.0	4161	8062	0.0	4408	9031	0.0	3200	9714	0.0	4072	10221	0.0	3867	10203	0.0	3431	10691	0.0	2355	7671	0.0	2905	7648	0.0	2573	8289	0.0	2589	8681	0.0	2984	8997	0.0	2849	9938	0.0	2414	6487	0.0	3009	7791	0.0	2492	8551	0.0	3071	8449	0.0	2968	9282	0.0	3738	8978	0.0	3158	7582	0.0	3636	7936	0.0	2882	8861	0.0	3046	8845	0.0	3364	9032	0.0	2516	8696	0.0	2683	7235	0.0	2502	7946	0.0	3099	9094	0.0	3914	9853	0.0	3503	9823	0.0	3202	10673	0.0	2738	7679	0.0	3605	7587	0.0	4367	8619	0.0	3191	9398	0.0	4210	10507	0.0	3347	10473	0.0	2650	6652	0.0	2910	7428	0.0	3340	9013	0.0	2962	9455	0.0	2828	9823	0.0	4594	9974	0.0	5062	7746	0.0	3077	7542	0.0	2834	8547	0.0	4172	9575	0.0	2924	9421	0.0	3154	9958	0.0	3213	7102	0.0	4109	7908	0.0	2895	8663	0.0	3070	9221	0.0	3271	9489	0.0	3488	9402	0.0
+191	cg09555360	862	4736	0.0	579	5582	0.0	867	5173	0.0	1067	5929	0.0	1656	9761	0.0	2447	13023	0.0	519	2576	0.0	595	2446	0.0	551	2594	0.0	439	3550	0.0	2000	9114	0.0	2187	13285	0.0	3003	9716	0.0	3740	11614	0.0	4955	11311	0.0	3267	11394	0.0	3605	11340	0.0	3399	12131	0.0	2704	8649	0.0	3009	9628	0.0	3013	11315	0.0	3370	12861	0.0	3421	13686	0.0	4152	13468	0.0	2706	9170	0.0	3051	9812	0.0	2892	10998	0.0	2663	11040	0.0	3677	11346	0.0	3910	12247	0.0	2625	8136	0.0	3180	9256	0.0	3051	10051	0.0	3180	10530	0.0	3380	11972	0.0	3090	11749	0.0	3445	9583	0.0	3739	9821	0.0	3912	11346	0.0	2956	11020	0.0	3499	11846	0.0	3525	12558	0.0	2605	9214	0.0	3446	9555	0.0	3461	11434	0.0	4016	11320	0.0	3906	11747	0.0	3225	13595	0.0	2798	8421	0.0	2739	9458	0.0	3375	9844	0.0	3650	12222	0.0	3529	12153	0.0	2971	12290	0.0	2735	8247	0.0	3609	10149	0.0	2772	10142	0.0	3077	11606	0.0	3029	11772	0.0	2895	12078	0.0	2802	8196	0.0	3329	9744	0.0	3545	10611	0.0	3318	10728	0.0	2683	10571	0.0	3611	12114	0.0	3598	8989	0.0	3017	9990	0.0	2368	10407	0.0	3221	11316	0.0	3931	11707	0.0	3453	12125	0.0
+192	cg07701223	480	2817	0.0	382	3148	0.0	429	3394	0.0	429	3502	0.0	1057	7285	0.0	1198	9542	0.0	203	1528	0.0	172	1643	0.0	249	1511	0.0	371	2118	0.0	777	6069	0.0	1155	9488	0.0	867	7646	0.0	1299	8237	0.0	1329	8898	0.0	1231	9998	0.0	1071	9665	0.0	1381	9469	0.0	731	6462	0.0	833	7510	0.0	1290	9250	0.0	1208	10260	0.0	1096	10547	0.0	1293	11591	0.0	705	6800	0.0	830	7591	0.0	861	8059	0.0	919	7996	0.0	955	8638	0.0	1053	9498	0.0	712	5870	0.0	1009	6704	0.0	828	7652	0.0	1036	8268	0.0	1060	9057	0.0	945	8446	0.0	794	6849	0.0	960	7412	0.0	980	8356	0.0	832	9086	0.0	950	8659	0.0	1249	10396	0.0	649	6463	0.0	868	7807	0.0	965	8799	0.0	1179	9759	0.0	932	9615	0.0	848	10525	0.0	731	6839	0.0	783	7254	0.0	896	8242	0.0	1122	8965	0.0	1035	9208	0.0	784	10131	0.0	551	6073	0.0	1021	6960	0.0	744	8043	0.0	976	8770	0.0	950	9427	0.0	1007	9522	0.0	555	6208	0.0	815	6626	0.0	744	7219	0.0	803	8534	0.0	867	8264	0.0	997	8961	0.0	779	6023	0.0	822	7175	0.0	766	7691	0.0	923	8197	0.0	1147	8605	0.0	786	8971	0.0
+193	cg13060902	1371	4272	0.0	1133	4483	0.0	1319	4346	0.0	1387	4980	0.0	3215	9065	0.0	4303	11628	0.0	648	1716	0.0	741	2059	0.0	757	2222	0.0	946	3119	0.0	2965	7694	0.0	4394	11962	0.0	3585	9215	0.0	3872	10238	0.0	4832	10578	0.0	4473	11410	0.0	3748	11086	0.0	4557	11798	0.0	2530	8470	0.0	3141	8509	0.0	4318	10634	0.0	4592	11747	0.0	3944	11493	0.0	4554	12080	0.0	3217	7555	0.0	3343	8821	0.0	3743	9684	0.0	3293	8938	0.0	3497	9752	0.0	4730	11437	0.0	2913	6913	0.0	3651	8748	0.0	3287	9050	0.0	3483	9446	0.0	4001	10772	0.0	3897	9919	0.0	3329	8220	0.0	3324	9049	0.0	3843	9045	0.0	3229	10176	0.0	4227	9741	0.0	3925	11749	0.0	2964	8584	0.0	3273	9130	0.0	3796	10122	0.0	4091	10416	0.0	4333	10728	0.0	4165	12249	0.0	3044	7104	0.0	3125	9093	0.0	3744	9478	0.0	4149	10064	0.0	3580	10684	0.0	4245	12023	0.0	2967	6493	0.0	3414	8476	0.0	3556	9247	0.0	3575	9959	0.0	3688	10823	0.0	3687	10667	0.0	2801	7926	0.0	2832	8550	0.0	3179	9151	0.0	3220	9513	0.0	3240	9737	0.0	3765	10353	0.0	3506	7666	0.0	3126	9414	0.0	3411	9128	0.0	3663	9612	0.0	4078	9860	0.0	4069	10475	0.0
+194	cg21830050	353	1728	0.0	617	877	0.0	436	2143	0.0	452	2667	0.0	701	4403	0.0	967	5648	0.0	293	1078	0.0	316	1262	0.0	219	1050	0.0	325	1405	0.0	746	4557	0.0	1171	5327	0.0	1521	5249	0.0	1502	5785	0.0	1453	5433	0.0	1265	5285	0.0	1627	5360	0.0	1475	6525	0.0	1629	4295	0.0	1752	5728	0.0	1662	5716	0.0	1339	6623	0.0	2728	5828	0.0	1474	6974	0.0	938	4735	0.0	1353	5160	0.0	1114	5736	0.0	1195	5833	0.0	1628	4929	0.0	1557	6231	0.0	1135	4360	0.0	1509	4636	0.0	1075	5206	0.0	1195	4749	0.0	1344	5995	0.0	1193	4884	0.0	1528	4774	0.0	1750	5418	0.0	1311	5715	0.0	1140	5542	0.0	1358	5696	0.0	1213	6167	0.0	996	4115	0.0	1374	5654	0.0	1250	5830	0.0	2180	5728	0.0	1305	6146	0.0	1274	6181	0.0	1081	4701	0.0	1294	4823	0.0	1269	5068	0.0	1327	5149	0.0	1231	6046	0.0	1011	5700	0.0	1040	4367	0.0	1278	5261	0.0	1076	5490	0.0	1315	5639	0.0	1244	6525	0.0	1366	5885	0.0	1604	4104	0.0	1150	4545	0.0	1471	5570	0.0	1354	5508	0.0	1150	4598	0.0	1473	6186	0.0	1470	4865	0.0	1846	4273	0.0	1347	4709	0.0	1318	5789	0.0	1739	6742	0.0	1275	5310	0.0
+195	cg02326551	230	429	0.0	202	343	0.0	224	520	0.0	199	506	0.0	483	1308	0.0	435	1657	0.0	143	311	0.0	224	337	0.0	282	353	0.0	210	392	0.0	320	1199	0.0	423	1699	0.0	436	1318	0.0	468	1649	0.0	527	1408	0.0	470	1634	0.0	882	1582	0.0	667	1620	0.0	510	1743	0.0	581	2576	0.0	576	1672	0.0	657	1679	0.0	671	1580	0.0	666	1857	0.0	451	1344	0.0	461	1476	0.0	412	1535	0.0	537	1618	0.0	513	1542	0.0	533	1986	0.0	303	1095	0.0	504	1393	0.0	366	1418	0.0	427	1470	0.0	433	1622	0.0	520	1596	0.0	676	887	0.0	846	1223	0.0	670	1365	0.0	473	1446	0.0	754	1351	0.0	706	1559	0.0	419	975	0.0	597	1436	0.0	652	1297	0.0	564	1456	0.0	606	1481	0.0	525	1390	0.0	519	1121	0.0	466	1148	0.0	591	1434	0.0	480	1233	0.0	562	1326	0.0	569	1362	0.0	368	859	0.0	511	1359	0.0	459	1167	0.0	497	1434	0.0	525	1381	0.0	391	1303	0.0	536	1737	0.0	606	1032	0.0	518	1367	0.0	396	2156	0.0	430	904	0.0	617	1461	0.0	458	1105	0.0	593	1160	0.0	657	1003	0.0	544	1301	0.0	572	1460	0.0	683	1116	0.0
+196	cg15684274	614	2463	0.0	509	2070	0.0	514	2864	0.0	555	2807	0.0	903	5192	0.0	1301	7511	0.0	347	1700	0.0	357	1617	0.0	373	1660	0.0	308	1886	0.0	615	4569	0.0	780	6245	0.0	2202	12898	0.0	1746	12802	0.0	2167	13078	0.0	2026	15057	0.0	2315	13165	0.0	2263	13551	0.0	1936	11545	0.0	1566	12961	0.0	1922	13180	0.0	2015	13334	0.0	2339	14639	0.0	2138	14657	0.0	1446	10662	0.0	1325	11287	0.0	1502	11332	0.0	1440	12430	0.0	1463	10976	0.0	1719	12319	0.0	1265	11528	0.0	1535	11749	0.0	1445	11166	0.0	1503	11595	0.0	1611	12535	0.0	1631	12474	0.0	1792	11757	0.0	1805	14359	0.0	1578	14556	0.0	1600	12249	0.0	1538	12767	0.0	1492	11408	0.0	1417	9305	0.0	1548	13729	0.0	1486	13231	0.0	1670	13532	0.0	1551	12637	0.0	1436	12052	0.0	1508	11921	0.0	1380	12160	0.0	1766	12424	0.0	1895	11983	0.0	1608	13078	0.0	1635	12224	0.0	1335	10891	0.0	1904	12909	0.0	1505	12001	0.0	1492	12455	0.0	1653	12397	0.0	1735	13069	0.0	1740	12255	0.0	1580	12681	0.0	2060	12645	0.0	1447	12782	0.0	1500	11209	0.0	1573	14830	0.0	1589	12289	0.0	1692	11379	0.0	1472	10525	0.0	1566	12867	0.0	1664	13839	0.0	1491	12755	0.0
+197	cg16005420	578	2567	0.0	433	1793	0.0	564	3120	0.0	526	2561	0.0	910	5495	0.0	1080	7262	0.0	283	918	0.0	319	825	0.0	341	1048	0.0	363	1653	0.0	669	3549	0.0	1012	4207	0.0	1986	6807	0.0	1784	6766	0.0	1798	6963	0.0	1788	7373	0.0	1971	7213	0.0	1874	7921	0.0	1672	5798	0.0	2019	7073	0.0	1866	7422	0.0	1855	7900	0.0	2031	8967	0.0	2112	8522	0.0	1321	6066	0.0	1483	6610	0.0	1492	6444	0.0	1376	6633	0.0	1708	7012	0.0	1609	7582	0.0	1090	5211	0.0	1473	5928	0.0	1424	6631	0.0	1371	6558	0.0	1408	7184	0.0	1780	6630	0.0	1997	5632	0.0	2018	6595	0.0	1924	6775	0.0	1719	7225	0.0	1657	6859	0.0	1602	7862	0.0	1258	5077	0.0	1698	6734	0.0	1734	6875	0.0	1947	7457	0.0	1440	7299	0.0	1455	8093	0.0	1423	5773	0.0	1332	6173	0.0	1340	6474	0.0	1697	6408	0.0	1712	7224	0.0	1637	7566	0.0	1181	4948	0.0	1605	6337	0.0	1591	6195	0.0	1736	7780	0.0	1640	7698	0.0	1552	7794	0.0	1538	4920	0.0	1653	5761	0.0	1900	6384	0.0	1482	6498	0.0	1301	6036	0.0	1622	7342	0.0	1593	5645	0.0	1468	5784	0.0	1124	5440	0.0	1636	7208	0.0	1616	7293	0.0	1733	6502	0.0
+198	cg20453388	206	650	0.0	159	549	0.0	202	855	0.0	267	1069	0.0	349	1652	0.0	320	2763	0.0	128	474	0.0	151	488	0.0	208	532	0.0	161	749	0.0	281	2180	0.0	302	2294	0.0	365	2231	0.0	374	2494	0.0	538	1880	0.0	491	2539	0.0	597	2403	0.0	586	2552	0.0	401	1766	0.0	501	2539	0.0	493	2655	0.0	461	2538	0.0	590	2921	0.0	748	2766	0.0	292	2108	0.0	380	2151	0.0	344	2072	0.0	351	2509	0.0	403	2201	0.0	381	2593	0.0	282	1878	0.0	350	1993	0.0	320	2147	0.0	319	1946	0.0	354	2638	0.0	438	1800	0.0	644	2025	0.0	806	2588	0.0	589	2451	0.0	550	2086	0.0	568	2245	0.0	545	2708	0.0	540	1399	0.0	643	2644	0.0	520	2376	0.0	575	2658	0.0	569	2519	0.0	570	2518	0.0	363	2104	0.0	428	1936	0.0	429	1749	0.0	504	1926	0.0	501	2712	0.0	415	2177	0.0	310	1820	0.0	544	2179	0.0	431	2113	0.0	456	2607	0.0	351	2420	0.0	544	2828	0.0	508	1708	0.0	532	2275	0.0	586	2250	0.0	411	2253	0.0	481	1953	0.0	665	2691	0.0	477	2139	0.0	495	1873	0.0	344	1732	0.0	522	2583	0.0	617	2750	0.0	640	2210	0.0
+199	cg24664590	1664	185	0.0	1246	129	0.0	2129	195	0.0	2297	283	0.0	4308	503	0.0	5412	533	0.0	1072	120	0.0	1205	220	0.0	1107	137	0.0	1235	253	0.0	3672	493	0.0	3982	626	0.0	8343	328	0.0	8660	507	0.0	10428	570	0.0	8128	566	0.0	7006	387	0.0	8578	437	0.0	6445	376	0.0	7898	393	0.0	8159	481	0.0	7657	442	0.0	8386	570	0.0	8524	547	0.0	6695	363	0.0	7067	380	0.0	7068	399	0.0	8323	346	0.0	7502	307	0.0	9231	380	0.0	6533	301	0.0	7192	306	0.0	7484	448	0.0	7548	351	0.0	7802	366	0.0	8616	459	0.0	6858	489	0.0	8218	493	0.0	8010	509	0.0	6047	656	0.0	7272	568	0.0	6904	785	0.0	6110	372	0.0	7848	551	0.0	7337	523	0.0	8278	588	0.0	7426	559	0.0	6816	781	0.0	6786	319	0.0	7348	509	0.0	7681	423	0.0	7933	457	0.0	7745	545	0.0	6392	483	0.0	6356	312	0.0	8168	469	0.0	7165	494	0.0	6884	463	0.0	7261	486	0.0	7574	474	0.0	7101	286	0.0	7118	392	0.0	7847	447	0.0	7495	386	0.0	5635	428	0.0	7964	580	0.0	7806	419	0.0	6848	400	0.0	5622	388	0.0	7102	507	0.0	8617	561	0.0	7349	579	0.0
diff --git a/docs/release-history.md b/docs/release-history.md
index 392e06b..d4ad149 100644
--- a/docs/release-history.md
+++ b/docs/release-history.md
@@ -1,26 +1,35 @@
 # Release History
 
-## v1.5.0
+## v1.5.2
+- Bug fix: added 'Extended_Type' into control_probes.pkl output. Required by methylcheck.plot_controls().
+- Minor bug fixes and improved unit test coverage.
+- Fixed bug where `process --minfi` was not working with `--all`. Added more test coverage for CLI.
+- updated read_geo to handle more edge cases
+- deprecated some never-used functions.
+  - instead of methylprep.files.idat.RunInfo use IdatDataset( verbose=True )
+
+
+## v1.5.0, v1.5.1
 - MAJOR refactor/overhaul of all the internal classes. This was necessary to fully support the mouse array.
-  - new SigSet class object that mirror's sesame's SigSet and SigDF object.
-    - Combines idats, manifest, and sample sheet into one object that is inherited by SampleDataContainer
-  - RawDataset, MethylationDataset, ProbeSubtype all deprecated and replaced by SigSet
-  - SampleDataContainer class is now basically the SigSet plus all pipeline processing settings
-  - new mouse manifest covers all probes and matches sesame's output
-  - Processing will work even if a batch of IDATs have differing probe counts for same array_type, though those
-  differing probes in question may not be saved.
-  - unit tests confirm that methylprep, sesame, and minfi beta values output match to within 1% of each other now. Note that the intermediate stages of processing (after NOOB and after DYE) do not match
-  with sesame in this version. Can be +/- 100 intensity units, likely due to differences in order of
-  steps and/or oob/mask probes used.
+- new SigSet class object that mirror's sesame's SigSet and SigDF object.
+- Combines idats, manifest, and sample sheet into one object that is inherited by SampleDataContainer
+- RawDataset, MethylationDataset, ProbeSubtype all deprecated and replaced by SigSet
+- SampleDataContainer class is now basically the SigSet plus all pipeline processing settings
+- new mouse manifest covers all probes and matches sesame's output
+- Processing will work even if a batch of IDATs have differing probe counts for same array_type, though those
+differing probes in question may not be saved.
+- unit tests confirm that methylprep, sesame, and minfi beta values output match to within 1% of each other now. Note that the intermediate stages of processing (after NOOB and after DYE) do not match
+with sesame in this version. Can be +/- 100 intensity units, likely due to differences in order of
+steps and/or oob/mask probes used.
 
 ## v1.4.7
 - mouse manifest updated to conform with illumina Genome Studio / sesame probe naming convention.
-  - mouse_probes.pkl now includes different probe types. Previously, if a probe type was 'mu' (multi)
-  or 'rp' (repeat) or IlmnID started with 'uk' (unknown?), it was moved to experimental mouse_probes.pkl.
-  This was about 6300 probes.
-  Now, all 'Multi' and 'Random' probes are moved and stored in mouse_probes.pkl, about 30,000.
-  - mouse manifest has a 'design' column with tons of human-readable notes on different probe origins,
-  including analogous EPIC human-mapped probes.
+- mouse_probes.pkl now includes different probe types. Previously, if a probe type was 'mu' (multi)
+or 'rp' (repeat) or IlmnID started with 'uk' (unknown?), it was moved to experimental mouse_probes.pkl.
+This was about 6300 probes.
+Now, all 'Multi' and 'Random' probes are moved and stored in mouse_probes.pkl, about 30,000.
+- mouse manifest has a 'design' column with tons of human-readable notes on different probe origins,
+including analogous EPIC human-mapped probes.
 
 ## v1.4.6
 - pipeline CSV output will now include meth, unmeth, beta, and m-values for all probes, including failed probes.
@@ -80,4 +89,4 @@
 - methylprep.download has a new all-encompassing pipeline that will read GEO data sets and convert
     any data file type into a pickle of beta_values, whether from idats or processed matrix files.
 
-## Older versions exist on pypi, but no changelog 
+## Older versions exist on pypi, but no changelog
diff --git a/methylprep/cli.py b/methylprep/cli.py
index 1429b72..f8c6c14 100644
--- a/methylprep/cli.py
+++ b/methylprep/cli.py
@@ -253,9 +253,10 @@ def cli_process(cmd_args):
         args.no_meta_export = True
         args.poobah = True
         args.export_poobah = True
-        args.minfi = False
         args.no_quality_mask = False
 
+    #print(vars(args).items())
+
     run_pipeline(
         args.data_dir,
         array_type=args.array_type,
diff --git a/methylprep/files/idat.py b/methylprep/files/idat.py
index f35f137..07b80e7 100644
--- a/methylprep/files/idat.py
+++ b/methylprep/files/idat.py
@@ -87,13 +87,12 @@ class IdatSectionCode(IntEnum):
 
 # Object Definitions
 # ----------------------------------------------------------------------------
-
+""" DEPRECATED: use IdatDataset(... verbose=True) instead.
 class RunInfo():
-    """A dataclass defining IDAT run information.
+    '''A dataclass defining IDAT run information.
 
     Arguments:
-        idat_file {file-like} -- An open IDAT file.
-    """
+        idat_file {file-like} -- An open IDAT file.'''
 
     __slots__ = [
         'run_time',
@@ -104,12 +103,13 @@ class RunInfo():
     ]
 
     def __init__(self, idat_file):
-        """Initializes the RunInfo data class by reading the provided idat_file."""
+        # Initializes the RunInfo data class by reading the provided idat_file.
         self.run_time = read_string(idat_file)
         self.block_type = read_string(idat_file)
         self.block_pars = read_string(idat_file)
         self.block_code = read_string(idat_file)
         self.code_version = read_string(idat_file)
+"""
 
 class IdatDataset():
     """Validates and parses an Illumina IDAT file.
diff --git a/methylprep/files/manifests.py b/methylprep/files/manifests.py
index 769881c..b6e3326 100644
--- a/methylprep/files/manifests.py
+++ b/methylprep/files/manifests.py
@@ -302,9 +302,8 @@ def get_data_types(self):
         return data_types
 
     def get_probe_details(self, probe_type, channel=None):
-        """given a probe type (I, II, SnpI, SnpII, Control) and a channel (Channel.RED | Channel.GREEN),
-        This will return info needed to map probes to their names (e.g. cg0031313 or rs00542420),
-        which are NOT in the idat files."""
+        """used by infer_channel_switch. Given a probe type (I, II, SnpI, SnpII, Control) and a channel (Channel.RED | Channel.GREEN),
+        this will return info needed to map probes to their names (e.g. cg0031313 or rs00542420), which are NOT in the idat files."""
         if not isinstance(probe_type, ProbeType):
             raise Exception('probe_type is not a valid ProbeType')
 
diff --git a/methylprep/models/sigset.py b/methylprep/models/sigset.py
index 9ca3be3..428cb12 100644
--- a/methylprep/models/sigset.py
+++ b/methylprep/models/sigset.py
@@ -117,9 +117,9 @@ class SigSet():
     [x] IG - Type-I Grn channel probes;
     [x] oobG - Out-of-band Grn channel probes (matching Type-I Red channel probes in number);
     [x] oobR - Out-of-band Red channel probes (matching Type-I Grn channel probes in number);
-    [-] ctl - control probes.
+    [x] ctrl_green, ctrl_red - control probes.
     [x] methylated, unmethylated, snp_methylated, snp_unmethylated
-    [x] fg_green, fg_red (opposite of oobG and oobR)
+    [x] fg_green, fg_red (opposite of oobG and oobR) AKA ibG, ibR for in-band probes.
 
     - just tidying up how we access this stuff, and trying to stick to IlmnID everywhere because the illumina_id within IDAT files is no longer unique as a ref.
     - I checked again, and no other array breaks these rules. But sounds like Bret won’t stick to this pattern going forward with designs. So I suspect other software will break with new arrays, unless they rewrite for this too.
@@ -305,6 +305,8 @@ def update_probe_means(self, noob_green, noob_red, red_factor=None):
         upstream: container.sigset.update_probe_means(noob_green, noob_red)
 
         replaces 'bg_corrected' column with 'noob_Meth' or 'noob_Unmeth' column.
+
+        does NOT update ctrl_red or ctrl_green; these are updated within the NOOB function because structually different.
         """
 
         for probe_subset, decoder_parts in self.subsets.items():
@@ -387,14 +389,15 @@ def update_probe_means(self, noob_green, noob_red, red_factor=None):
         self.__minfi_noob = False
         self.__linear_dye = True if red_factor is not None else False
 
+    """
     # from raw_dataset; may no longer be needed, but kept for testing against new approach 2021
     def get_oob_controls(self, green_idat, red_idat, manifest, include_rs=True):
-        """ Out-of-bound controls are the mean intensity values for the
+        ''' Out-of-bound controls are the mean intensity values for the
         channel in the opposite channel's probes (IG oob and IR oob)
 
 .. todo::
     TEST -- does this give same output as SigSet.oobG and oobR?
-        """
+        '''
         param_sets = [
             {'channel': Channel.RED, 'idat': green_idat, 'manifest': manifest},
             {'channel': Channel.GREEN, 'idat': red_idat, 'manifest': manifest},
@@ -451,6 +454,7 @@ def get_oob_controls(self, green_idat, red_idat, manifest, include_rs=True):
                 ).rename(columns={'mean_value': 'Unmeth'})
                 oobR.drop(['AddressA_ID', 'AddressB_ID'], axis=1)
         return (oobG.sort_index(), oobR.sort_index())
+    """
 
     # from raw_dataset
     def filter_oob_probes(self, channel, manifest, idat_dataset, include_rs=True):
diff --git a/methylprep/models/sketchy_probes.py b/methylprep/models/sketchy_probes.py
index ce25d6a..e25f672 100644
--- a/methylprep/models/sketchy_probes.py
+++ b/methylprep/models/sketchy_probes.py
@@ -4,8 +4,9 @@
 from importlib import resources # py3.7+
 pkg_namespace = 'methylprep.models'
 
+"""
 def sketchy_probes_warning(filepath):
-    """ not implemented anywhere yet """
+    ''' not implemented anywhere yet '''
     # used to warn user if running a Catalog_ID that contains sketchy illumina probes
 
     with resources.path(pkg_namespace, 'illumina_sketchy_probes_996.npy') as probe_filepath:
@@ -22,6 +23,7 @@ def sketchy_probes_warning(filepath):
         return Path(filepath).name
     else:
         return None
+"""
 
 with resources.path(pkg_namespace, 'qualityMask450.txt.gz') as probe_filepath:
     qualityMask450 = pd.read_csv(probe_filepath)['x']
diff --git a/methylprep/processing/p_value_probe_detection.py b/methylprep/processing/p_value_probe_detection.py
index ffa78f9..449cc88 100644
--- a/methylprep/processing/p_value_probe_detection.py
+++ b/methylprep/processing/p_value_probe_detection.py
@@ -9,8 +9,80 @@
 import numpy as np
 
 
+def _pval_sesame_preprocess(data_container):
+    """Performs p-value detection of low signal/noise probes. This ONE SAMPLE version uses meth/unmeth before it is contructed into a _SampleDataContainer__data_frame.
+    - returns a dataframe of probes and their detected p-value levels.
+    - this will be saved to the csv output, so it can be used to drop probes at later step.
+    - output: index are probes (IlmnID or illumina_id); one column [poobah_pval] contains the sample p-values.
+    - called by pipeline CLI --poobah option.
+    - confirmed that this version produces identical results to the pre-v1.5.0 version on 2021-06-16
+    """
+    # 2021-03-22 assumed 'mean_value' for red and green MEANT meth and unmeth (OOBS), respectively.
+    funcG = ECDF(data_container.oobG['Unmeth'].values)
+    funcR = ECDF(data_container.oobR['Meth'].values)
+    pIR = pd.DataFrame(
+        index=data_container.IR.index,
+        data=1-np.maximum(funcR(data_container.IR['Meth']), funcR(data_container.IR['Unmeth'])),
+        columns=['poobah_pval'])
+    pIG = pd.DataFrame(
+        index=data_container.IG.index,
+        data=1-np.maximum(funcG(data_container.IG['Meth']), funcG(data_container.IG['Unmeth'])),
+        columns=['poobah_pval'])
+    pII = pd.DataFrame(
+        index=data_container.II.index,
+        data=1-np.maximum(funcG(data_container.II['Meth']), funcR(data_container.II['Unmeth'])),
+        columns=['poobah_pval'])
+    # pval output: index is IlmnID; and threre's one column, 'poobah_pval' with p-values
+    pval = pd.concat([pIR,pIG,pII])
+    return pval
+
+""" DEPRECATED FUNCTIONS (<v1.5.0)
+def detect_probes(data_containers, method='sesame', save=False, silent=True):
+    '''
+About:
+    a wrapper for the p-value probe detection methods. Tries to check inputs and rationalize them
+    with methyl-suite's standard data objects.
+
+Inputs:
+    a list of sample data_containers. The dataframe must have a 'IlMnID' for the index of probe names.
+    And probe names should be `cgxxxxxx` format to work with other methylcheck functions
+
+    To create this, use:
+
+    data_containers = methylprep.run_pipeline(data_dir,
+            save_uncorrected=True,
+            betas=True)
+    (if there are more than 200 samples, you'll need to load the data from disk instead, as nothing will be returned)
+
+    method:
+        sesame -- use the sesame ported algorithm
+        minfi -- use the minfi ported algorithm
+
+Checks:
+    data_containers must have 'meth' and 'unmeth' columns (uncorrected data)
+    the values for these columns should be between 0 and 10000s
+    (beta: 0 to 1; m_value: -neg to pos+ range)
+
+Returns:
+    dataframe of p-value filtered probes
+    '''
+    if not ('unmeth' in data_containers[0]._SampleDataContainer__data_frame.columns and
+            'meth' in data_containers[0]._SampleDataContainer__data_frame.columns):
+            raise ValueError("Provide a list of data_containers that includes uncorrected data (with 'meth' and 'unmeth' columns, using the 'save_uncorrected' option in run_pipeline)")
+    if method == 'minfi':
+        pval = pval_minfi(data_containers)
+    else:
+        pval = pval_sesame(data_containers)
+
+    if silent == False and type(mean_beta_compare) is types.FunctionType:
+        # plot it
+        # df1 and df2 are probe X sample_id matrices
+        mean_beta_compare(df1, df2, save=save, verbose=False, silent=silent)
+    return pval
+
+
 def _pval_minfi(data_containers):
-    """ negative control p-value """
+    # negative control p-value
     # Pull M and U values
     meth = pd.DataFrame(data_containers[0]._SampleDataContainer__data_frame.index)
     unmeth = pd.DataFrame(data_containers[0]._SampleDataContainer__data_frame.index)
@@ -84,7 +156,7 @@ def _pval_minfi(data_containers):
     return pval
 
 def _pval_sesame(data_containers):
-    """ pOOHBah, called using ___ in sesame """
+    # pOOHBah, called using ___ in sesame
     # Pull M and U values
     meth = pd.DataFrame(data_containers[0]._SampleDataContainer__data_frame.index)
     unmeth = pd.DataFrame(data_containers[0]._SampleDataContainer__data_frame.index)
@@ -123,75 +195,4 @@ def _pval_sesame(data_containers):
         p = pd.concat([pIR,pIG,pII]).reset_index()
         pval = pd.merge(pval,p)
     return pval
-
-
-def _pval_sesame_preprocess(data_container):
-    """Performs p-value detection of low signal/noise probes. This ONE SAMPLE version uses meth/unmeth before it is contructed into a _SampleDataContainer__data_frame.
-    - returns a dataframe of probes and their detected p-value levels.
-    - this will be saved to the csv output, so it can be used to drop probes at later step.
-    - output: index are probes (IlmnID or illumina_id); one column [poobah_pval] contains the sample p-values.
-    - called by pipeline CLI --poobah option.
-    - confirmed that this version produces identical results to the pre-v1.5.0 version on 2021-06-16
-    """
-    # 2021-03-22 assumed 'mean_value' for red and green MEANT meth and unmeth (OOBS), respectively.
-    funcG = ECDF(data_container.oobG['Unmeth'].values)
-    funcR = ECDF(data_container.oobR['Meth'].values)
-    pIR = pd.DataFrame(
-        index=data_container.IR.index,
-        data=1-np.maximum(funcR(data_container.IR['Meth']), funcR(data_container.IR['Unmeth'])),
-        columns=['poobah_pval'])
-    pIG = pd.DataFrame(
-        index=data_container.IG.index,
-        data=1-np.maximum(funcG(data_container.IG['Meth']), funcG(data_container.IG['Unmeth'])),
-        columns=['poobah_pval'])
-    pII = pd.DataFrame(
-        index=data_container.II.index,
-        data=1-np.maximum(funcG(data_container.II['Meth']), funcR(data_container.II['Unmeth'])),
-        columns=['poobah_pval'])
-    # pval output: index is IlmnID; and threre's one column, 'poobah_pval' with p-values
-    pval = pd.concat([pIR,pIG,pII])
-    return pval
-
-
-def detect_probes(data_containers, method='sesame', save=False, silent=True):
-    """
-About:
-    a wrapper for the p-value probe detection methods. Tries to check inputs and rationalize them
-    with methyl-suite's standard data objects.
-
-Inputs:
-    a list of sample data_containers. The dataframe must have a 'IlMnID' for the index of probe names.
-    And probe names should be `cgxxxxxx` format to work with other methylcheck functions
-
-    To create this, use:
-
-    data_containers = methylprep.run_pipeline(data_dir,
-            save_uncorrected=True,
-            betas=True)
-    (if there are more than 200 samples, you'll need to load the data from disk instead, as nothing will be returned)
-
-    method:
-        sesame -- use the sesame ported algorithm
-        minfi -- use the minfi ported algorithm
-
-Checks:
-    data_containers must have 'meth' and 'unmeth' columns (uncorrected data)
-    the values for these columns should be between 0 and 10000s
-    (beta: 0 to 1; m_value: -neg to pos+ range)
-
-Returns:
-    dataframe of p-value filtered probes
-    """
-    if not ('unmeth' in data_containers[0]._SampleDataContainer__data_frame.columns and
-            'meth' in data_containers[0]._SampleDataContainer__data_frame.columns):
-            raise ValueError("Provide a list of data_containers that includes uncorrected data (with 'meth' and 'unmeth' columns, using the 'save_uncorrected' option in run_pipeline)")
-    if method == 'minfi':
-        pval = pval_minfi(data_containers)
-    else:
-        pval = pval_sesame(data_containers)
-
-    if silent == False and type(mean_beta_compare) is types.FunctionType:
-        # plot it
-        # df1 and df2 are probe X sample_id matrices
-        mean_beta_compare(df1, df2, save=save, verbose=False, silent=silent)
-    return pval
+"""
diff --git a/methylprep/processing/pipeline.py b/methylprep/processing/pipeline.py
index 15e9087..4531045 100644
--- a/methylprep/processing/pipeline.py
+++ b/methylprep/processing/pipeline.py
@@ -6,6 +6,7 @@
 from collections import Counter
 from pathlib import Path
 import pickle
+import sys
 # App
 from ..files import Manifest, get_sample_sheet, create_sample_sheet
 from ..models import (
@@ -157,16 +158,21 @@ def run_pipeline(data_dir, array_type=None, export=False, manifest_filepath=None
     # unexposed flags all start with 'do_': (None will retain default settings)
     do_infer_channel_switch = None # defaults to sesame(True)
     do_noob = None # defaults to True
-    do_dye_bias = None # defaults to sesame(True)
+    do_nonlinear_dye_bias = True # defaults to sesame(True), but can be False (linear) or None (omit step)
     do_save_noob = None
     do_mouse = True
     hidden_kwargs = ['pipeline_steps', 'pipeline_exports', 'debug']
     if kwargs != {}:
         for kwarg in kwargs:
             if kwarg not in hidden_kwargs:
-                raise SystemExit(f"One of your parameters ({kwarg}) was not recognized. Did you misspell it?")
+                if sys.stdin.isatty() is False:
+                    raise SystemExit(f"One of your parameters ({kwarg}) was not recognized. Did you misspell it?")
+                else:
+                    raise KeyError(f"One of your parameters ({kwarg}) was not recognized. Did you misspell it?")
     if sesame == True:
         poobah = True # if sesame is True and poobah is False, it hangs forever.
+    if sesame == False and 'pipeline_steps' not in kwargs:
+        do_nonlinear_dye_bias = False # FORCE minfi to do linear
 
     if kwargs != {} and 'pipeline_steps' in kwargs:
         pipeline_steps = kwargs.get('pipeline_steps')
@@ -175,14 +181,19 @@ def run_pipeline(data_dir, array_type=None, export=False, manifest_filepath=None
             poobah = True
             quality_mask = True
             do_noob = True
-            do_dye_bias = True
+            do_nonlinear_dye_bias = True
             sesame = None # prevent this from overriding elsewhere
         else:
             do_infer_channel_switch = True if 'infer_channel_switch' in pipeline_steps else False
             poobah = True if 'poobah' in pipeline_steps else False
             quality_mask = True if 'quality_mask' in pipeline_steps else False
             do_noob = True if 'noob' in pipeline_steps else False
-            do_dye_bias = True if 'dye_bias' in pipeline_steps else False
+            if 'dye_bias' in pipeline_steps:
+                do_nonlinear_dye_bias = True
+            elif 'linear_dye_bias' in pipeline_steps:
+                do_nonlinear_dye_bias = False
+            else:
+                do_nonlinear_dye_bias = None # omit step
             sesame = None if sesame == True else sesame
     if kwargs != {} and 'pipeline_exports' in kwargs:
         pipeline_exports = kwargs.get('pipeline_exports')
@@ -306,7 +317,7 @@ def run_pipeline(data_dir, array_type=None, export=False, manifest_filepath=None
                 pval=poobah, #defaults to False as of v1.4.0
                 poobah_decimals=poobah_decimals,
                 poobah_sig=poobah_sig,
-                correct_dye_bias=(do_dye_bias or sesame or False), # this applies all sesame-specific options
+                do_nonlinear_dye_bias=do_nonlinear_dye_bias, # start of run_pipeline sets this to True, False, or None
                 debug=kwargs.get('debug',False),
                 sesame=sesame,
             )
@@ -588,7 +599,7 @@ class SampleDataContainer(SigSet):
 
     def __init__(self, idat_dataset_pair, manifest, retain_uncorrected_probe_intensities=False,
                  bit='float32', pval=False, poobah_decimals=3, poobah_sig=0.05, do_noob=True,
-                 quality_mask=True, switch_probes=True, correct_dye_bias=True, debug=False, sesame=True):
+                 quality_mask=True, switch_probes=True, do_nonlinear_dye_bias=True, debug=False, sesame=True):
         self.debug = debug
         self.manifest = manifest
         self.do_noob = do_noob
@@ -597,7 +608,7 @@ def __init__(self, idat_dataset_pair, manifest, retain_uncorrected_probe_intensi
         self.poobah_sig = poobah_sig
         self.quality_mask = quality_mask # if True, filters sesame's standard sketchy probes out of 450k, EPIC, EPIC+ arrays.
         self.switch_probes = switch_probes
-        self.correct_dye_bias = correct_dye_bias
+        self.do_nonlinear_dye_bias = do_nonlinear_dye_bias
         self.green_idat = idat_dataset_pair['green_idat']
         self.red_idat = idat_dataset_pair['red_idat']
         self.sample = idat_dataset_pair['sample']
@@ -605,7 +616,7 @@ def __init__(self, idat_dataset_pair, manifest, retain_uncorrected_probe_intensi
         self.sesame = sesame # defines offsets in functions
         self.data_type = 'float32' if bit == None else bit # options: (float64, float32, or float16)
         if debug:
-            print(f'DEBUG: sesame {self.sesame} switch {self.switch_probes} noob {self.do_noob} poobah {self.pval} mask {self.quality_mask}, dye {self.correct_dye_bias}')
+            print(f'DEBUG: sesame {self.sesame} switch {self.switch_probes} noob {self.do_noob} poobah {self.pval} mask {self.quality_mask}, dye {self.do_nonlinear_dye_bias}')
 
         if self.switch_probes:
             # apply inter_channel_switch here; uses raw_dataset and manifest only; then updates self.raw_dataset
@@ -618,8 +629,19 @@ def __init__(self, idat_dataset_pair, manifest, retain_uncorrected_probe_intensi
 
         if self.data_type not in ('float64','float32','float16'):
             raise ValueError(f"invalid data_type: {self.data_type} should be one of ('float64','float32','float16')")
-        # delete this later; redundant, just here for testing against old stuff.
-        # self.test_oobG, self.test_oobR = self.get_oob_controls(self.green_idat, self.red_idat, self.manifest, include_rs=True)
+
+        if self.debug:
+            print(f"DEBUG SDC params:")
+            exclude = ['data_channel', 'man', 'snp_man', 'ctl_man', 'address_code', 'ctrl_green', 'ctrl_red', 'II',
+            'IG', 'IR', 'oobG', 'oobR', 'methylated', 'unmethylated', 'snp_methylated', 'snp_unmethylated', 'ibG', 'ibR']
+            for key,value in self.__dict__.items():
+                if key in exclude:
+                    try:
+                        print(f"-- {key}: {value.shape}")
+                    except:
+                        print(f"-- skipping {key}")
+                else:
+                    print(f"-- {key}: {value}")
 
     def process_all(self):
         """Runs all pre and post-processing calculations for the dataset."""
@@ -668,13 +690,13 @@ def preprocess(self):
             if self.do_noob == True:
                 # apply corrections: bg subtract, then noob (in preprocess.py)
                 if self.sesame in (None,True):
-                    preprocess_noob(self, pval_probes_df=pval_probes_df, quality_mask_df=quality_mask_df)
+                    preprocess_noob(self, pval_probes_df=pval_probes_df, quality_mask_df=quality_mask_df, nonlinear_dye_correction=self.do_nonlinear_dye_bias, debug=self.debug)
                     #if container.__dye_bias_corrected is False: # process failed, so fallback is linear-dye
-                    #    print(f'ERROR preprocess_noob sesame-dye: linear_dye_correction={self.correct_dye_bias}')
+                    #    print(f'ERROR preprocess_noob sesame-dye: linear_dye_correction={self.do_nonlinear_dye_bias}')
                     #    preprocess_noob(self, linear_dye_correction = True)
                 if self.sesame is False:
                     # match minfi legacy settings
-                    preprocess_noob(self, pval_probes_df=pval_probes_df, quality_mask_df=quality_mask_df, linear_dye_correction = not self.correct_dye_bias)
+                    preprocess_noob(self, pval_probes_df=pval_probes_df, quality_mask_df=quality_mask_df, nonlinear_dye_correction=self.do_nonlinear_dye_bias, debug=self.debug)
 
                 if self._SigSet__preprocessed is False:
                     raise ValueError("preprocessing did not run")
@@ -707,7 +729,7 @@ def preprocess(self):
             if self.quality_mask == True and isinstance(quality_mask_df, pd.DataFrame):
                 self.__data_frame = self.__data_frame.join(quality_mask_df, how='inner')
 
-            if self.correct_dye_bias == True:
+            if self.do_nonlinear_dye_bias == True:
                 nonlinear_dye_bias_correction(self, debug=self.debug)
                 # this step ensures that failed probes are not included in the NOOB calculations.
                 # but they MUST be included in CSV exports, so I move the failed probes to another df for storage until pipeline.export() needs them.
@@ -875,7 +897,7 @@ def make_pipeline(data_dir='.', steps=None, exports=None, estimator='beta', **kw
     'poobah'
     'quality_mask'
     'noob'
-    'dye_bias'
+    'dye_bias' -- specifying this select's sesame's nonlinear-dye-bias correction. Omitting causes NOOB to use minfi's linear-dye-correction, unless NOOB is missing.
 
 [exports]
     export=False,
diff --git a/methylprep/processing/postprocess.py b/methylprep/processing/postprocess.py
index 1aa584c..9327cfe 100644
--- a/methylprep/processing/postprocess.py
+++ b/methylprep/processing/postprocess.py
@@ -84,7 +84,7 @@ def consolidate_values_for_sheet(data_containers, postprocess_func_colname='beta
             # remove all failed probes by replacing with NaN before building DF.
             sample._SampleDataContainer__data_frame.loc[sample._SampleDataContainer__data_frame[poobah_column] >= poobah_sig, postprocess_func_colname] = np.nan
         elif poobah == True and poobah_column not in sample._SampleDataContainer__data_frame.columns:
-            print('DEBUG: missing poobah')
+            LOGGER.warning('DEBUG: missing poobah')
 
         if sample.quality_mask == True and mask_column in sample._SampleDataContainer__data_frame.columns:
             sample._SampleDataContainer__data_frame.loc[sample._SampleDataContainer__data_frame[mask_column].isna(), postprocess_func_colname] = np.nan
@@ -108,7 +108,7 @@ def consolidate_values_for_sheet(data_containers, postprocess_func_colname='beta
 
 def one_sample_control_snp(sample):
     """Creates the control_probes.pkl dataframe for export
-Unlike all the other postprocessing functions, this uses a lot of SampleDataContainer objects that get removed to same memory,
+Unlike all the other postprocessing functions, this uses a lot of SampleDataContainer objects that get removed to save memory,
 so calling this immediately after preprocessing a sample so whole batches of data are not kept in memory.
 
 Input: one SampleDataContainer object.
@@ -135,11 +135,15 @@ def one_sample_control_snp(sample):
     snp values are stored in container.snp_methylated.data_frame
     and container.snp_unmethylated.data_frame
 
+    methylcheck.plot_controls requires these columns in output: ['Control_Type','Color','Extended_Type']
+        copy from sample.ctl_man
+
     v1.5.0+ saves either RAW or NOOB meth/unmeth SNP values, depending on whether NOOB/dye was processed.
     """
     RED = sample.ctrl_red.rename(columns={'mean_value': 'Mean_Value_Red'})[['Mean_Value_Red']]
     GREEN = sample.ctrl_green.rename(columns={'mean_value': 'Mean_Value_Green'})[['Mean_Value_Green']]
     CONTROL = RED.join(GREEN)
+    CONTROL = pd.concat([CONTROL, sample.ctl_man], axis=1)
 
     meth_col = 'Meth' if sample.do_noob == False else 'noob_Meth'
     unmeth_col = 'Unmeth' if sample.do_noob == False else 'noob_Unmeth'
@@ -212,7 +216,7 @@ def merge_batches(num_batches, data_dir, filepattern):
     if dfs: # pipeline passes in all filenames, but not all exist
         dfs = pd.concat(dfs, axis='columns', join='inner') #.progress_apply(lambda x: x)
         outfile_name = Path(data_dir, f"{filepattern}.pkl")
-        print(f"{filepattern}: {dfs.shape}")
+        LOGGER.info(f"{filepattern}: {dfs.shape}")
         dfs.to_pickle(str(outfile_name))
         del dfs # save memory.
 
diff --git a/methylprep/processing/preprocess.py b/methylprep/processing/preprocess.py
index 12128b9..4d1579e 100644
--- a/methylprep/processing/preprocess.py
+++ b/methylprep/processing/preprocess.py
@@ -19,7 +19,7 @@
 LOGGER = logging.getLogger(__name__)
 
 
-def preprocess_noob(container, offset=15, pval_probes_df=None, quality_mask_df=None, linear_dye_correction=False, debug=False, unit_test_oob=False): # v1.4.5+
+def preprocess_noob(container, offset=15, pval_probes_df=None, quality_mask_df=None, nonlinear_dye_correction=True, debug=False, unit_test_oob=False): # v1.4.5+
     """ NOOB pythonized copy of https://github.com/zwdzwd/sesame/blob/master/R/background_correction.R
     - The function takes a SigSet and returns a modified SigSet with the background subtracted.
     - Background is modelled in a normal distribution and true signal in an exponential distribution.
@@ -29,9 +29,11 @@ def preprocess_noob(container, offset=15, pval_probes_df=None, quality_mask_df=N
     - II RED and II GREEN both have data, but manifest doesn't have a way to track this, so function tracks it.
     - keep IlmnID as index for meth/unmeth snps, and convert fg_green
 
-    if linear_dye_correction=True, this uses a minfi method in place of sesame method.
-    if unit_test_oob==True, returns the intermediate data instead of updated container.
+    if nonlinear_dye_correction=True, this uses a sesame method in place of minfi method, in a later step.
+    if unit_test_oob==True, returns the intermediate data instead of updating the SigSet/SampleDataContainer.
     """
+    if debug:
+        print(f"DEBUG NOOB {debug} nonlinear_dye_correction={nonlinear_dye_correction}, pval_probes_df={pval_probes_df}, quality_mask_df={quality_mask_df}, ")
     # stack- need one long list of values, regardless of Meth/Uneth
     ibG = pd.concat([
         container.ibG.reset_index().rename(columns={'Meth': 'mean_value'}).assign(used='M'),
@@ -45,6 +47,8 @@ def preprocess_noob(container, offset=15, pval_probes_df=None, quality_mask_df=N
     ])
     ibR = ibR[ ~ibR['mean_value'].isna() ].drop(columns=['Meth','Unmeth'])
 
+
+    # out-of-band is Green-Unmeth and Red-Meth
     # exclude failing probes
     pval = pval_probes_df.loc[ pval_probes_df['poobah_pval'] > container.poobah_sig ].index if isinstance(pval_probes_df, pd.DataFrame) else []
     qmask = quality_mask_df.loc[ quality_mask_df['quality_mask'].isna() ].index if isinstance(quality_mask_df, pd.DataFrame) else []
@@ -54,6 +58,15 @@ def preprocess_noob(container, offset=15, pval_probes_df=None, quality_mask_df=N
     Gmeth = list(container.oobG['Meth'].drop(index=pval, errors='ignore').drop(index=qmask, errors='ignore'))
     Gunmeth = list(container.oobG['Unmeth'].drop(index=pval, errors='ignore').drop(index=qmask, errors='ignore'))
     oobG = pd.DataFrame( Gmeth + Gunmeth, columns=['mean_value'])
+    # minfi test
+    # ref fg_green = 442614 | vs ibG 442672 = 396374 + 46240
+    # ref fg_red = 528410 | vs ibR 528482 = 439279 + 89131
+    # ref oob_green = 178374
+    # ref oob_red = 92578
+    #oobR = pd.DataFrame( data={'mean_value': container.oobR['Meth']})
+    #oobG = pd.DataFrame( data={'mean_value': container.oobG['Unmeth']})
+    #print(f" oobR {oobR.shape} oobG {oobG.shape}")
+    #import pdb;pdb.set_trace()
 
     debug_warnings = ""
     if oobR['mean_value'].isna().sum() > 0:
@@ -89,8 +102,19 @@ def preprocess_noob(container, offset=15, pval_probes_df=None, quality_mask_df=N
     noob_green = ibG_nl.round({'bg_corrected':0})
     noob_red = ibR_nl.round({'bg_corrected':0})
 
-    # by default, this is turned off because sesame uses non-linear dye-bias-correction.
-    if linear_dye_correction == True:
+    if unit_test_oob:
+        return {
+            'oobR': oobR,
+            'oobG': oobG,
+            'noob_green': noob_green,
+            'noob_red': noob_red,
+        }
+
+    # by default, this last step is omitted for sesame
+    if nonlinear_dye_correction == True:
+        # update() expects noob_red/green to have IlmnIDs in index, and contain bg_corrected for ALL probes.
+        container.update_probe_means(noob_green, noob_red)
+    elif nonlinear_dye_correction == False:
         # this "linear" method may be anologous to the ratio quantile normalization described in Nature: https://www.nature.com/articles/s41598-020-72664-6
         normexp_bg_correct_control(container.ctrl_green, params_green)
         normexp_bg_correct_control(container.ctrl_red, params_red)
@@ -100,27 +124,13 @@ def preprocess_noob(container, offset=15, pval_probes_df=None, quality_mask_df=N
         avg_red = container.ctrl_red[mask_red]['bg_corrected'].mean()
         rg_ratios = avg_red / avg_green
         red_factor = 1 / rg_ratios
-        if unit_test_oob:
-            return {
-                'oobR': oobR,
-                'oobG': oobG,
-                'noob_green': noob_green,
-                'noob_red': noob_red,
-            }
         container.update_probe_means(noob_green, noob_red, red_factor)
         container._SigSet__minfi_noob = True
-    else:
-        # update() expects noob_red/green to have IlmnIDs in index, and contain bg_corrected for ALL probes.
-        if unit_test_oob:
-            return {
-                'oobR': oobR,
-                'oobG': oobG,
-                'noob_green': noob_green,
-                'noob_red': noob_red,
-            }
-        container.update_probe_means(noob_green, noob_red)
+    elif nonlinear_dye_correction is None:
         if debug:
-            LOGGER.warning("could not update container methylated / unmethylated noob values, because preprocess_sesame_noob has already run once.")
+            LOGGER.info("skipping linear/nonlinear dye-bias correction step")
+        # skips the minfi-linear step and won't trigger the sesame nonlinear dye bias step downstream, if you REALLY want it uncorrected. Mostly for debugging / benchmarking.
+        container.update_probe_means(noob_green, noob_red)
 
 
 class BackgroundCorrectionParams():
@@ -157,6 +167,7 @@ def normexp_bg_corrected(fg_probes, ctrl_probes, offset, sample_name=None):
 
     corrected_signals = apply_bg_correction(fg_means, params)
     fg_probes['bg_corrected'] = corrected_signals
+    fg_probes['bg_corrected'] = fg_probes['bg_corrected'].round(1)
     return fg_probes, params
 
 
@@ -292,18 +303,17 @@ def _apply_sesame_quality_mask(data_container):
 
 
 
-###### DEPRECATED #####
-
+""" ##### DEPRECATED (<v1.5.0) #####
 def _old_reprocess_noob_sesame_v144(container, offset=15, debug=False):
-    """ NOOB pythonized copy of https://github.com/zwdzwd/sesame/blob/master/R/background_correction.R
+    ''' NOOB pythonized copy of https://github.com/zwdzwd/sesame/blob/master/R/background_correction.R
 
     - The function takes a SigSet and returns a modified SigSet with that background subtracted.
     - Background is modelled in a normal distribution and true signal in an exponential distribution.
     - The Norm-Exp deconvolution is parameterized using Out-Of-Band (oob) probes.
     - includes snps, but not control probes yet
     - output should replace the container instead of returning debug dataframes
-    - II RED and II GREEN both have data, but manifest doesn't have a way to track this, so function tracks it."""
-
+    - II RED and II GREEN both have data, but manifest doesn't have a way to track this, so function tracks it.
+    '''
     # get in-band red and green channel probe means
     #ibR <- c(IR(sset), II(sset)[,'U'])    # in-band red signal = IR_meth + IR_unmeth + II[unmeth]
     #ibG <- c(IG(sset), II(sset)[,'M'])    # in-band green signal = IG_meth + IG_unmeth + II[meth]
@@ -498,3 +508,4 @@ def _old_reprocess_noob_sesame_v144(container, offset=15, debug=False):
             'dupe_unmeth': noob_unmeth_dupes,
         }
     return # noob_meth, noob_unmeth
+"""
diff --git a/methylprep/processing/read_geo_processed.py b/methylprep/processing/read_geo_processed.py
index 3c835c1..fc0679f 100644
--- a/methylprep/processing/read_geo_processed.py
+++ b/methylprep/processing/read_geo_processed.py
@@ -5,6 +5,7 @@
 import csv # for pd_load quote-chars
 from collections import Counter
 import logging
+import gzip
 try:
     from pandas.errors import ParserError
 except ImportError:
@@ -534,6 +535,38 @@ def detect_header_pattern(test, filename, return_sample_column_names=False):
             'sample_names_stems': sample_column_residuals, # unique parts of sample names
            }
 
+
+def pd_best_parameters(filepath, nskiprows, nrows=100):
+    list_params  = []
+    list_methods = ['auto', 'tab', 'quoted']
+    for method in list_methods:
+        try:
+            # determine the keyword argument values for the current method
+            kwargs = None
+            if method == 'auto':
+                kwargs = {'skiprows': nskiprows}
+            elif method == 'tab':
+                kwargs = {'sep':'\t', 'skiprows': nskiprows}
+            elif method == 'quoted':
+                kwargs = {'sep':r',\s+','skiprows': nskiprows, 'quoting':csv.QUOTE_ALL, 'engine': 'python'}
+            else:
+                continue
+            # try loading the dataframe using the current argument values
+            df = pd.read_csv(filepath, nrows=nrows, **kwargs)
+            item = {'method':method, 'cols': df.shape[1], 'kwargs': kwargs}
+            list_params.append(item)
+        except:
+            # read_csv function failed so just continue to try the next method
+            continue
+    # ensure list is not empty
+    if len(list_params) == 0:
+        return None
+    # determine the best set of loading parameters
+    best_params = sorted([(parts['method'], parts['cols'], parts['kwargs']) for parts in list_params], key= lambda param_tuple: param_tuple[1], reverse=True)
+    best_kwargs = best_params[0][2]
+    return best_kwargs
+
+
 def pd_load(filepath, **kwargs):
     """ helper function that reliably loads any GEO file, by testing for the separator that gives the most columns """
     this = Path(filepath)
@@ -544,37 +577,36 @@ def pd_load(filepath, **kwargs):
         nskiprows = kwargs.get('skiprows', 0)
         if nskiprows == 0:
             # ensure we skip over all non-header lines at the beginning of the file
-            with gzip.open(this, 'rt') as myfile:
-                for line in myfile:
-                    # check to see if current line is a valid header line
-                    if (not line.startswith('#')) and (',' in line or '\t' in line):
-                        # header line found so exit loop
-                        break;
-                    else:
-                        # current line not recognized as a possible header row
-                        # skip this line by incrementing number of rows to be skipped
-                        nskiprows = nskiprows + 1
-
+            if '.gz' in this.suffixes:
+                with gzip.open(this, 'rt') as myfile:
+                    for line in myfile:
+                        # check to see if current line is a valid header line
+                        if (not line.startswith('#')) and (',' in line or '\t' in line):
+                            # header line found so exit loop
+                            break;
+                        else:
+                            # current line not recognized as a possible header row
+                            # skip this line by incrementing number of rows to be skipped
+                            nskiprows = nskiprows + 1
         # first, check that we're getting the max cols
-        test_csv = pd.read_csv(this, nrows=100, skiprows=kwargs.get('skiprows',0))
-        test_t = pd.read_csv(this, sep='\t', nrows=100, skiprows=kwargs.get('skiprows',0))
-        test_space = pd.read_csv(this, sep=r',\s+', quoting=csv.QUOTE_ALL, engine='python', skiprows=kwargs.get('skiprows',0))
-
-        params = [
-            {'method':'auto', 'cols': test_csv.shape[1], 'kwargs': {}},
-            {'method':'tab', 'cols': test_t.shape[1], 'kwargs': {'sep':'\t'}},
-            {'method':'quoted', 'cols': test_space.shape[1], 'kwargs': {'sep':r',\s+', 'quoting':csv.QUOTE_ALL, 'engine': 'python'}},
-        ]
-        best_params = sorted([(parts['method'], parts['cols'], parts['kwargs']) for parts in params], key= lambda param_tuple: param_tuple[1], reverse=True)
-        kwargs.update(best_params[0][2])
-
+        ##test_csv = pd.read_csv(this, nrows=100, skiprows=nskiprows)
+        ##test_t = pd.read_csv(this, sep='\t', nrows=100, skiprows=nskiprows)
+        ##test_space = pd.read_csv(this, sep=r',\s+', quoting=csv.QUOTE_ALL, engine='python', skiprows=nskiprows)
+        ##params = [
+        ##    {'method':'auto', 'cols': test_csv.shape[1], 'kwargs': {'skiprows': nskiprows}},
+        ##    {'method':'tab', 'cols': test_t.shape[1], 'kwargs': {'sep':'\t', 'skiprows': nskiprows}},
+        ##    {'method':'quoted', 'cols': test_space.shape[1], 'kwargs': {'sep':r',\s+','skiprows': nskiprows, 'quoting':csv.QUOTE_ALL, 'engine': 'python'}},
+        ##]
+        ##best_params = sorted([(parts['method'], parts['cols'], parts['kwargs']) for parts in params], key= lambda param_tuple: param_tuple[1], reverse=True)
+        # determine the best parameters for loading the pandas dataframe
+        best_params = pd_best_parameters(this, nskiprows)
+        kwargs.update(best_params)
     if '.csv' in this.suffixes:
         raw = pd.read_csv(this, **kwargs)
     elif '.xlsx' in this.suffixes:
         raw = pd.read_excel(this, **kwargs)
     elif '.pkl' in this.suffixes:
         raw = pd.read_pickle(this, **kwargs)
-        #return raw
     elif '.txt' in this.suffixes:
         try:
             raw = pd.read_csv(this, **kwargs) # includes '\t' if testing worked best with tabs
@@ -587,5 +619,5 @@ def pd_load(filepath, **kwargs):
             # or use codecs first to load and parse text file before dataframing...
     else:
         print(f'ERROR: this file type ({this.suffix}) is not supported')
-        return
+        return None
     return raw
diff --git a/methylprep/version.py b/methylprep/version.py
index f016de7..8e54c7d 100644
--- a/methylprep/version.py
+++ b/methylprep/version.py
@@ -2,4 +2,4 @@
 # 1) we don't load dependencies by storing it in __init__.py
 # 2) we can import it in setup.py for the same reason
 # 3) we can import it into your module module
-__version__ = '1.5.0'
+__version__ = '1.5.2'
diff --git a/setup.py b/setup.py
index ebf4020..93eabda 100644
--- a/setup.py
+++ b/setup.py
@@ -46,7 +46,7 @@
         'requests',
     ],
     setup_requires=['pytest-runner'],
-    tests_require=['pytest','pytest_mock','matplotlib'],
+    tests_require=['pytest','pytest_mock','matplotlib', 'openpyxl'],
     entry_points='''
         [console_scripts]
         methylprep-cli=methylprep.cli:app
diff --git a/tests/files/test_idat.py b/tests/files/test_idat.py
index 4a2ac80..8edfbf3 100644
--- a/tests/files/test_idat.py
+++ b/tests/files/test_idat.py
@@ -6,7 +6,6 @@
 from methylprep.files import IdatDataset
 from methylprep.models import Channel
 
-
 class TestIdatModel(object):
     test_data_dir = 'docs/example_data/GSE69852'
     test_idat_file = str(Path(test_data_dir, '9247377093_R02C01_Grn.idat'))
@@ -22,3 +21,12 @@ def test_init_fails_if_passing_in_open_file_object(self):
         with pytest.raises(UnicodeDecodeError):
             with open(self.test_idat_file,'r') as f:
                 idat = IdatDataset(f, Channel.GREEN)
+
+    def test_idat_full_meta(self):
+        idat = IdatDataset(
+            self.test_idat_file,
+            channel=Channel.GREEN,
+            verbose=True, # <--- calls IdatDataset.meta()
+            std_dev=True,
+            nbeads=True,
+            bit='float16')
diff --git a/tests/processing/test_pipeline.py b/tests/processing/test_pipeline.py
index 6d42083..1c91eed 100644
--- a/tests/processing/test_pipeline.py
+++ b/tests/processing/test_pipeline.py
@@ -54,14 +54,26 @@ def test_pipeline_cli_minfi():
             print(test2.head())
             raise AssertionError('missing beta values in processed csv')
 
+
+        test1_ref_v151 = [ # bug with --all was applying nonlinear dye correction with --minfi here. fixed in v1.5.2.
+            ['cg00000029',   3325.0,     2242.0,  1062.0,      823.0, 0.001, 0.0, 0.731,    1.446],
+            ['cg00000108',  10266.0,     7892.0,  1035.0,      788.0,     0, 0.0, 0.909,    3.324],
+            ['cg00000109',   5055.0,     3527.0,   839.0,      534.0,     0, 0.0, 0.869,    2.724],
+            ['cg00000165',    879.0,      350.0,  2556.0,     3021.0, 0.006, 0.0, 0.104,   -3.110],
+            ['cg00000236',   5161.0,     3612.0,   604.0,      279.0,     0, 0.0, 0.928,    3.694],
+            ['rs9363764',    4267.0,     2942.0,  1978.0,     2138.0, 0.001, 0.0, 0.579,    0.461],
+            ['rs939290',     5724.0,     4040.0,  2908.0,     3555.0,     0, 0.0, 0.532,    0.185],
+        ]
+
+        # note that poobah values get a little worse when you apply minfi, linear dye bias correction instead of sesame.
         test1_ref = [
-            ['cg00000029',   3325.0,     2242.0,  1062.0,        823.0, 0.001, 0.0, 0.731,    1.446],
-            ['cg00000108',  10266.0,     7892.0,  1035.0,        788.0,     0, 0.0, 0.909,    3.324],
-            ['cg00000109',   5055.0,     3527.0,   839.0,        534.0,     0, 0.0, 0.869,    2.724],
-            ['cg00000165',    879.0,      350.0,  2556.0,       3021.0, 0.006, 0.0, 0.104,   -3.110],
-            ['cg00000236',   5161.0,     3612.0,   604.0,        279.0,     0, 0.0, 0.928,    3.694],
-            ['rs9363764',    4267.0,     2942.0,  1978.0,       2138.0, 0.001, 0.0, 0.579,    0.461],
-            ['rs939290',     5724.0,     4040.0,  2908.0,       3555.0,     0, 0.0, 0.532,    0.185],
+            ['cg00000029',   3325.0,     2798.0,  1062.0,     1340.0,  0.002, 0.0, 0.660,    1.062],
+            ['cg00000108',  10266.0,     9739.0,  1035.0,     1288.0,      0, 0.0, 0.875,    2.919],
+            ['cg00000109',   5055.0,     4528.0,   839.0,      914.0,  0.001, 0.0, 0.817,    2.309],
+            ['cg00000165',    879.0,      373.0,  2556.0,     4196.0,  0.006, 0.0, 0.080,   -3.492],
+            ['cg00000236',   5161.0,     4634.0,   604.0,      505.0,  0.001, 0.0, 0.885,    3.198],
+            ['rs9363764',    4267.0,     3740.0,  1978.0,     3091.0,  0.001, 0.0, 0.540,    0.275],
+            ['rs939290',     5724.0,     5197.0,  2908.0,     4869.0,  0.001, 0.0, 0.511,    0.094],
         ]
         test1_ref = pd.DataFrame(data=test1_ref, columns=['IlmnID', 'meth', 'noob_meth',  'unmeth', 'noob_unmeth',  'poobah_pval', 'quality_mask', 'beta_value', 'm_value']).set_index('IlmnID')
         test1_sub = test1.loc[ test1.index.isin(test1_ref.index) ]
@@ -122,7 +134,7 @@ def test_run_pipeline_all():
             ['cg00000029',   3325.0,     2785.0,  1062.0,       1323.0,       0.662,    1.074],
             ['cg00000108',  10266.0,     9726.0,  1035.0,       1271.0,       0.876,    2.936],
             ['cg00000109',   5055.0,     4515.0,   839.0,        898.0,       0.819,    2.330],
-            ['cg00000165',    879.0,      367.0,  2556.0,       4182.0,       0.079,   -3.510],
+            ['cg00000165',    879.0,      366.0,  2556.0,       4182.0,       0.079,   -3.510],
             ['cg00000236',   5161.0,     4621.0,   604.0,        498.0,       0.885,    3.214],
             ['rs9363764',    4267.0,     3727.0,  1978.0,       3076.0,       0.540,    0.277],
             ['rs939290',     5724.0,     5184.0,  2908.0,       4856.0,       0.511,    0.094],
@@ -146,55 +158,6 @@ def test_run_pipeline_all():
                 print('+', outfile)
                 outfile.unlink()
 
-    @staticmethod
-    def test_pipeline_two_samples():
-        """ pass in --sample_name with 2 samples -- from fake command line args """
-        test_data_dir = 'docs/example_data/GSE69852'
-        test_outputs = [
-            Path(test_data_dir, 'control_probes.pkl'),
-            #Path(test_data_dir, 'beta_values.pkl'),
-            #Path(test_data_dir, 'm_values.pkl'),
-            #Path(test_data_dir, 'meth_values.pkl'),
-            #Path(test_data_dir, 'unmeth_values.pkl'),
-            Path(test_data_dir, 'noob_meth_values.pkl'),
-            Path(test_data_dir, 'noob_unmeth_values.pkl'),
-            Path(test_data_dir, 'sample_sheet_meta_data.pkl'),
-            #Path(test_data_dir, '9247377085', '9247377085_R04C02_processed.csv'),
-            #Path(test_data_dir, '9247377093', '9247377093_R02C01_processed.csv'),
-            ]
-        for outfile in test_outputs:
-            if outfile.exists():
-                outfile.unlink()
-        # CLI not working in unit tests
-        #testargs = ["__program__", '-d', test_data_dir, '--no_export', '--sample_name', 'AdultLiver1', 'FetalLiver1', '--minfi', '--betas']
-        #with patch.object(sys, 'argv', testargs):
-        test_data_containers = pipeline.run_pipeline(test_data_dir, export=False, sample_name=['AdultLiver1', 'FetalLiver1'])
-        # spot checking the output.
-        test1 = test_data_containers[0]._SampleDataContainer__data_frame
-        test1_ref = [
-            ['cg00000029',     1144.0,       1369.0,        0.003,           0.0,    0.455233, -0.259035],
-            ['cg00000108',     3841.0,       3926.0,        0.000,           0.0,    0.494528, -0.031578],
-            ['cg00000109',     3828.0,        190.0,        0.000,           0.0,    0.952713,  4.332520],
-            ['cg00000165',      555.0,       2580.0,        0.006,           0.0,    0.177033, -2.216811],
-            ['cg00000236',     3545.0,        428.0,        0.000,           0.0,    0.892273,  3.050103],
-            ['rs9363764',      3038.0,       2009.0,        0.001,           0.0,    0.601942,  0.596644],
-            ['rs939290',        360.0,       5615.0,        0.001,           0.0,    0.060251, -3.963217],
-            ['rs951295',       5317.0,       4706.0,        0.000,           0.0,    0.530480,  0.176111],
-            ['rs966367',        120.0,       4104.0,        0.002,           0.0,    0.028409, -5.095924],
-            ['rs9839873',      4545.0,        112.0,        0.000,           0.0,    0.975950,  5.342710]
-        ]
-        test1_ref = pd.DataFrame(data=test1_ref, columns=['IlmnID', 'noob_meth',  'noob_unmeth', 'poobah_pval', 'quality_mask', 'beta_value',   'm_value']).set_index('IlmnID').astype('float32')
-        test1_sub = test1.loc[ test1.index.isin(test1_ref.index) ].astype('float32')
-        if not np.isclose(test1_sub, test1_ref, atol=0.01).all():
-            raise AssertionError()
-
-        for outfile in test_outputs:
-            if not outfile.exists():
-                raise FileNotFoundError(f"Expected {outfile.name} to be generated by run_pipeline() but it was missing.")
-            else:
-                print('+', outfile)
-                outfile.unlink()
-
     def test_minfi(self):
         test_data_dir = 'docs/example_data/GSE69852'
         test_outputs = [
@@ -342,7 +305,7 @@ def test_run_pipeline_sesame_defaults():
             ['cg00063477',     4125.0,        171.0,           1.0,       0.960,    4.592],
             ['cg00121626',     3562.0,       3391.0,           1.0,       0.512,    0.071],
             ['cg00223952',      428.0,       7068.0,           0.0,       0.057,   -4.046],
-            ['cg27614706',     3622.0,         87.0,           0.0,       0.977,    5.380],
+            ['cg27614706',     3622.0,         87.0,           0.0,       0.977,    5.363],
             ['cg27619353',     2214.0,       9722.0,           1.0,       0.185,   -2.135],
             ['cg27620176',     6062.0,         90.0,           1.0,       0.985,    6.074],
             ['cg27647370',     8905.0,        166.0,           1.0,       0.982,    5.745],
@@ -352,7 +315,7 @@ def test_run_pipeline_sesame_defaults():
             ['cg00063477',     4125.0,        171.0,           1.0,       0.960,    4.592],
             ['cg00121626',     3562.0,       3391.0,           1.0,       0.512,    0.071],
             ['cg00223952',        NaN,          NaN,           NaN,       0.057,   -4.046],
-            ['cg27614706',        NaN,          NaN,           NaN,       0.977,    5.380],
+            ['cg27614706',        NaN,          NaN,           NaN,       0.977,    5.363],
             ['cg27619353',     2214.0,       9722.0,           1.0,       0.185,   -2.135],
             ['cg27620176',     6062.0,         90.0,           1.0,       0.985,    6.074],
             ['cg27647370',     8905.0,        166.0,           1.0,       0.982,    5.745],
diff --git a/tests/processing/test_pipeline_samplesheet_parts.py b/tests/processing/test_pipeline_samplesheet_parts.py
new file mode 100644
index 0000000..8789e3b
--- /dev/null
+++ b/tests/processing/test_pipeline_samplesheet_parts.py
@@ -0,0 +1,66 @@
+import os
+import sys
+import numpy as np
+import pandas as pd
+from pathlib import Path
+# App
+from methylprep.processing import pipeline
+#patching
+import unittest
+try:
+    # python 3.4+ should use builtin unittest.mock not mock package
+    from unittest.mock import patch
+except ImportError:
+    from mock import patch
+
+
+class TestPipeline():
+
+    @staticmethod
+    def test_pipeline_two_samples():
+        """ pass in --sample_name with 2 samples -- from fake command line args """
+        test_data_dir = 'docs/example_data/GSE69852'
+        test_outputs = [
+            Path(test_data_dir, 'control_probes.pkl'),
+            #Path(test_data_dir, 'beta_values.pkl'),
+            #Path(test_data_dir, 'm_values.pkl'),
+            #Path(test_data_dir, 'meth_values.pkl'),
+            #Path(test_data_dir, 'unmeth_values.pkl'),
+            Path(test_data_dir, 'noob_meth_values.pkl'),
+            Path(test_data_dir, 'noob_unmeth_values.pkl'),
+            Path(test_data_dir, 'sample_sheet_meta_data.pkl'),
+            #Path(test_data_dir, '9247377085', '9247377085_R04C02_processed.csv'),
+            #Path(test_data_dir, '9247377093', '9247377093_R02C01_processed.csv'),
+            ]
+        for outfile in test_outputs:
+            if outfile.exists():
+                outfile.unlink()
+        # CLI not working in unit tests
+        #testargs = ["__program__", '-d', test_data_dir, '--no_export', '--sample_name', 'AdultLiver1', 'FetalLiver1', '--minfi', '--betas']
+        #with patch.object(sys, 'argv', testargs):
+        test_data_containers = pipeline.run_pipeline(test_data_dir, export=False, sample_name=['AdultLiver1', 'FetalLiver1'])
+        # spot checking the output.
+        test1 = test_data_containers[0]._SampleDataContainer__data_frame
+        test1_ref = [
+            ['cg00000029',     1144.0,       1369.0,        0.003,           0.0,    0.455233, -0.259035],
+            ['cg00000108',     3841.0,       3926.0,        0.000,           0.0,    0.494528, -0.031578],
+            ['cg00000109',     3828.0,        190.0,        0.000,           0.0,    0.952713,  4.332520],
+            ['cg00000165',      555.0,       2580.0,        0.006,           0.0,    0.177033, -2.216811],
+            ['cg00000236',     3545.0,        428.0,        0.000,           0.0,    0.892273,  3.050103],
+            ['rs9363764',      3038.0,       2009.0,        0.001,           0.0,    0.601942,  0.596644],
+            ['rs939290',        360.0,       5615.0,        0.001,           0.0,    0.060251, -3.963217],
+            ['rs951295',       5317.0,       4706.0,        0.000,           0.0,    0.530480,  0.176111],
+            ['rs966367',        120.0,       4104.0,        0.002,           0.0,    0.028409, -5.095924],
+            ['rs9839873',      4545.0,        112.0,        0.000,           0.0,    0.975950,  5.342710]
+        ]
+        test1_ref = pd.DataFrame(data=test1_ref, columns=['IlmnID', 'noob_meth',  'noob_unmeth', 'poobah_pval', 'quality_mask', 'beta_value',   'm_value']).set_index('IlmnID').astype('float32')
+        test1_sub = test1.loc[ test1.index.isin(test1_ref.index) ].astype('float32')
+        if not np.isclose(test1_sub, test1_ref, atol=0.01).all():
+            raise AssertionError()
+
+        for outfile in test_outputs:
+            if not outfile.exists():
+                raise FileNotFoundError(f"Expected {outfile.name} to be generated by run_pipeline() but it was missing.")
+            else:
+                print('+', outfile)
+                outfile.unlink()
diff --git a/tests/processing/test_read_geo.py b/tests/processing/test_read_geo.py
new file mode 100644
index 0000000..a8367cc
--- /dev/null
+++ b/tests/processing/test_read_geo.py
@@ -0,0 +1,43 @@
+# -*- coding: utf-8 -*-
+from pathlib import Path
+import gzip
+TESTPATH = 'docs/example_data/read_geo'
+#app
+import methylprep
+
+class TestReadGeo():
+    # a more complete version of this test is in methylcheck, where the function is maintained then copied here.
+    # these files are small sub-sets of the real GEO files, created to ensure read_geo() can parse various file structures without commiting huge files to the repo.
+    unit_test_files = [
+        'GSE111165_test.csv',
+        'GSE72120_test.txt',
+        'GSE133355_processed_test.xlsx', # multiline header here, and extra columns that are not sample betas.
+    ]
+    unit_test_file_shapes = {
+        'GSE111165_test.csv': (200, 101),
+        'GSE72120_test.txt': (200, 72),
+        'GSE133355_processed_test.xlsx': (6735, 44),
+    }
+
+    def test_read_csv(self):
+        files = [file for file in self.unit_test_files if ('.csv' in Path(TESTPATH,file).suffixes)]
+        for infile in files:
+            df = methylprep.read_geo(Path(TESTPATH,infile), verbose=False)
+            if not hasattr(df,'shape'):
+                raise AssertionError(f"[CSV] {infile.name} failed to return a dataframe")
+            if df.shape != self.unit_test_file_shapes[Path(infile).name]:
+                raise ValueError(f"[CSV] {infile.name} shape did not match ({df.shape} vs {unit_test_file_shapes[Path(infile).name]})")
+
+    def test_read_xlsx(self):
+        files = [file for file in self.unit_test_files if Path(TESTPATH,file).suffix == '.xlsx']
+        for infile in files:
+            df = methylprep.read_geo(Path(TESTPATH,infile), verbose=False)
+            if not hasattr(df,'shape'):
+                raise AssertionError(f"[XLSX] {infile} failed to return a dataframe")
+
+    def test_read_txt(self):
+        files = [file for file in self.unit_test_files if Path(TESTPATH,file).suffix == '.txt']
+        for infile in files:
+            df = methylprep.read_geo(Path(TESTPATH,infile), verbose=False)
+            if not hasattr(df,'shape'):
+                raise AssertionError(f"[TXT] {infile} failed to return a dataframe")
diff --git a/tests/processing/test_sesame_noob.py b/tests/processing/test_sesame_noob.py
index cd1aa71..404bfac 100644
--- a/tests/processing/test_sesame_noob.py
+++ b/tests/processing/test_sesame_noob.py
@@ -42,8 +42,8 @@ def sesame_convert(filename, drop_rs=True):
     print(sesame_meth.shape,sesame_unmeth.shape)
     return sesame_meth, sesame_unmeth
 
-
-def test_compare_methylprep_sesame__raw_oob_noob_dye():
+@patch("matplotlib.pyplot.show")
+def test_compare_methylprep_sesame__raw_oob_noob_dye(mock_pyplot):
     """ this test confirms that these values match closely with sesame:
     - raw meth, raw unmeth
     - oobG, oobR and preprocess_noob_sesame oobG/oobR
@@ -61,7 +61,8 @@ def test_compare_methylprep_sesame__raw_oob_noob_dye():
     #containers = methylprep.run_pipeline(LOCAL, sesame=True, save_uncorrected=True, low_memory=False, debug=False)
     samp = 1 # '9247377085_R04C02'
     steps = ['infer_channel_switch', 'quality_mask', 'noob', 'dye_bias'] # no poobah 'poobah'
-    containers = methylprep.processing.pipeline.make_pipeline(LOCAL, steps=steps, exports=None, estimator=None, low_memory=False, debug=False)
+    # debug=True will increase coverage
+    containers = methylprep.processing.pipeline.make_pipeline(LOCAL, steps=steps, exports=None, estimator=None, low_memory=False, debug=True)
 
     # will run noob and dye and sesame==True
     s_meth, s_unmeth           = sesame_convert(Path(LOCAL,'sesame_raw.csv'), drop_rs=False)
diff --git a/tests/processing/test_stepwise_pipeline_vs_minfi.py b/tests/processing/test_stepwise_pipeline_vs_minfi.py
index d7333fb..7b78d9b 100644
--- a/tests/processing/test_stepwise_pipeline_vs_minfi.py
+++ b/tests/processing/test_stepwise_pipeline_vs_minfi.py
@@ -57,7 +57,7 @@ def test_noob_df_same_size_as_minfi():
         do_noob=True,
         quality_mask=False,
         switch_probes=False,
-        correct_dye_bias=False,
+        do_nonlinear_dye_bias=False,
         debug=False,
         sesame=False,
         )
@@ -98,6 +98,49 @@ def test_noob_df_same_size_as_minfi():
 
 #grn, red = test_noob_df_same_size()
 
+def test_make_pipeline_noob_only():
+    IDAT_SOURCE = 'docs/example_data/mouse'
+    test_outputs = [
+        Path(IDAT_SOURCE, 'beta_values.pkl'),
+        Path(IDAT_SOURCE, 'noob_meth_values.pkl'),
+        Path(IDAT_SOURCE, 'noob_unmeth_values.pkl'),
+        Path(IDAT_SOURCE, 'samplesheet.csv'),
+        ]
+    for outfile in test_outputs:
+        if outfile.exists():
+            outfile.unlink()
+    df = methylprep.make_pipeline(IDAT_SOURCE, steps=['noob'], sesame=False, debug=True, make_sample_sheet=True)
+    sample_name = '204879580038_R06C02'
+    ref_beta = [
+    ['cg00101675_BC21',              0.865335],
+    ['cg00116289_BC21',              0.898574],
+    ['cg00211372_TC21',              0.822134],
+    ['cg00531009_BC21',              0.895200],
+    ['cg00747726_TC21',              0.828053],
+    ['uk9978_TC11',                  0.315556],
+    ['uk9983_TC21',                  0.234043],
+    ['uk9986_BC11',                  0.254296],
+    ['uk998926237_TC11',             0.293478],
+    ['uk9995_TC11',                  0.333333],
+    ]
+    ref_noob_meth = [
+    ['cg00101675_BC21',                  1992],
+    ['cg00116289_BC21',                  2206],
+    ['cg00211372_TC21',                  1248],
+    ['cg00531009_BC21',                  8952],
+    ['cg00747726_TC21',                  6116],
+    ]
+    ref_beta = pd.DataFrame(data=ref_beta, columns = ['IlmnID', sample_name]).set_index('IlmnID')
+    ref_noob_meth = pd.DataFrame(data=ref_noob_meth, columns = ['IlmnID', sample_name]).set_index('IlmnID')
+    test_beta = df.loc[ ref_beta.index ]
+    test_noob_meth = pd.read_pickle(Path(IDAT_SOURCE, 'noob_meth_values.pkl'))
+    test_noob_meth = test_noob_meth.loc[ ref_noob_meth.index ]
+    if not np.isclose(test_beta, ref_beta, atol=0.01).all():
+        raise AssertionError(f"beta values don't match ref values")
+    if not np.isclose(test_noob_meth, ref_noob_meth, atol=0.01).all():
+        raise AssertionError(f"test noob meth values don't match ref values")
+
+
 def shrink_csv(filename):
     # use on minfi output, but on betas use round
     PATH = 'docs/example_data/minfi/'