Name | TSomVar |
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Type | Health and Disease Detection |
Developers | ShuoShi, QiWang, YunfeiShang, CongfanBu, MingmingLu, MeiyeJiang, HaoZhang ,ShuhuanYu, JingyaoZeng, ZaichaoZhang, ZhenglinDu and JingfaXiao |
Description | Due to the low accessibility of somatic variants in tumor samples and the high individual/sample specificity, the detection of somatic mutations in unmatched normal samples is still full of challenges. TSomVar is a tumor-only somatic and germline variant identification method. The software used the random forest algorithm established on sample-specific variant datasets derived from genotype imputation, reads-mapping level annotation and functional annotation. |
Downlaod | https://ngdc.cncb.ac.cn/biocode/tools/BT007299/releases/v1.0 |
Online Link | https://github.com/shishuo16/Tsomvar |
Article | https://doi.org/10.1093/bib/bbac381 |
Cite Count | 48 |
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