AlexandrovLab/SigProfilerExtractor
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 SigProfilerMatrixGenerator and SigProfilerPlotting.
PythonBSD-2-Clause
Watchers
- alvinwt
- azhark2
- biosinodxUniversity of Minnesota
- BMDuke@PlayMaker-Family-Office
- BoianAlexandrovLANL
- burcakotluUniversity of California San Diego
- cagaser
- davidwedgeManchester Cancer Research Centre, University of Manchester
- drkostasUniversity of Tennessee, Knoxville
- frvirard
- heyudouSan Diego
- itsvenu
- lab8-tomofiOsaka, Japan
- marcos-diazgUC San Diego
- mattiyehCedars-Sinai Medical Center
- mdbarnesUCSDUniversity of California, San Diego
- mlayeghiUniversity of Toronto
- nithishbn
- rptashkinNew York, NY
- rvangaraUniversity of California, San Diego
- sarah-moody
- sfbrunner
- superjw
- TianShuangJ