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ding-lab · Aug 22, 2019 · 9ac9252 · 9ac9252
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 MSIsensor
 ===========
-MSIsensor is a C++ program to detect replication slippage variants at microsatellite regions, and differentiate them as somatic or germline. Given paired tumor and normal sequence data, it builds a distribution for expected (normal) and observed (tumor) lengths of repeated sequence per microsatellite, and compares them using Pearson's Chi-Squared Test. Comprehensive testing indicates MSIsensor is an efficient and effective tool for deriving MSI status from standard tumor-normal paired sequence data. Since there are many users complained that they don't have paired normal sequence data or related normal sequence data can be used to build a paired normal control, we released MSIsensor2. Our test results show that the performance of MSIsensor2 is comparable with paired tumor and normal sequence data input. In particular, the MSIsensor2 is 10 times faster than the MSIsensor. A typical WES data can be finished within 180 seconds. Please access the MSIsensor2 here: http://niulab.scgrid.cn/msisensor2/index.html . 
+MSIsensor is a C++ program to detect replication slippage variants at microsatellite regions, and differentiate them as somatic or germline. Given paired tumor and normal sequence data, it builds a distribution for expected (normal) and observed (tumor) lengths of repeated sequence per microsatellite, and compares them using Pearson's Chi-Squared Test. Comprehensive testing indicates MSIsensor is an efficient and effective tool for deriving MSI status from standard tumor-normal paired sequence data. Since there are many users complained that they don't have paired normal sequence data or related normal sequence data can be used to build a paired normal control, we released MSIsensor2, and which is specially designed for MSI detection using tumor only or ctDNA sequencing data . Our test results show that the performance of MSIsensor2 is comparable with paired tumor and normal sequence data input. In particular, the MSIsensor2 is 10 times faster than the MSIsensor. A typical WES data can be finished within 180 seconds. Please access the MSIsensor2 here: http://niulab.scgrid.cn/msisensor2/index.html . 
 
 If you used this tool for your work, please cite [PMID 24371154](https://www.ncbi.nlm.nih.gov/pubmed/24371154)