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Mutation Analysis Python Packages

Python packages with the GitHub topic mutation-analysis. Sorted by relevance, with stars and monthly downloads.
AlexandrovLab
sigprofilermatrixgenerator

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.

20K 122 42
AlexandrovLab
sigprofilertopography

SigProfilerTopography allows evaluating the effect of chromatin organization, histone modifications, transcription factor binding, DNA replication, and DNA transcription on the activities of different mutational processes. SigProfilerTopography elucidates the unique topographical characteristics of mutational signatures.

8K 24 3
alexandrovlab
sigprofilerplotting

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.

6K 53 16
mohrez86
pyllmut

An LLM-driven mutant generator library for Python

5K 3 0
SigProfilerSuite
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.

5K 186 62
AlexandrovLab
sigproextractor

Extracts mutational signatures from mutational catalogues

853 186 62
AlexandrovLab
sigpross

Decomposes mutational catalogues to mutational signatures

373 186 62
AlexandrovLab
new-sigproextractor

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.

121 186 62
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