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mutation-analysis

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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.
  • Updated Jun 14, 2021
  • Python

An R wrapper for SigProfilerExtractor that 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.
  • Updated Dec 12, 2020
  • R

SigProfilerTopography allows evaluating the distribution of somatic mutations and/or mutational signatures across the genomic landscape. The tool evaluates nucleosome occupancy, replication strand bias, transcription strand bias, and replication timing. Further, the tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
  • Updated Jun 3, 2021
  • Python

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