Bayesian haplotype-based mutation calling
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Updated
Aug 12, 2023 - C++
Bayesian haplotype-based mutation calling
An ensemble approach to accurately detect somatic mutations using SomaticSeq
NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection
SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGen…
🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.
Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
SigProfilerMatrixGenerator creates mutational matrices for all types of somatic mutations. It allows downsizing the generated mutations only to parts for the genome (e.g., exome or a custom BED file). The tool seamlessly integrates with other SigProfiler tools.
SNV calling from single cell sequencing
Snakemake-based workflow for detecting structural variants in genomic data
ClairS - a deep-learning method for long-read somatic small variant calling
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
SigProfilerPlotting provides a standard tool for displaying all types of mutational signatures as well as all types of mutational patterns in cancer genomes. The tool seamlessly integrates with other SigProfiler tools.
A BioWDL variantcalling pipeline for germline DNA data. Starting with FASTQ files to produce VCF files. Category:Multi-Sample
Pipeline for Somatic Variant Calling with WES and WGS data
R wrapper for utilizing the SigProfilerMatrixGenerator framework
highly-efficient & lightweight mutation signature matrix aggregation
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