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.
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.
https://github.com/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.
https://github.com/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.
minmutfinder
Tool written in Python and Bash implemented in a Nextflow pipeline that accurately identifies mutations and assesses their frequencies, accounting for multiple nucleotide mutations occurring within a single codon. Additionally, it can annotate mutations associated to phenotypical changes in viral populations based on user-supplied datasets.
https://github.com/alexandrovlab/sigprofilermatrixgeneratorr
R wrapper for utilizing the SigProfilerMatrixGenerator framework
https://github.com/alexandrovlab/sigprofilerextractorr
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.
https://github.com/alexandrovlab/sigprofilerclusters
Tool for analyzing the inter-mutational distances between SNV-SNV and INDEL-INDEL mutations. Tool separates mutations into clustered and non-clustered groups on a sample-dependent basis.