SigProfilerMatrixGenerator
Generates mutational matrices from somatic mutation data across supported mutation classes and mutational contexts.
pip install SigProfilerMatrixGenerator
The suite covers the main steps of mutational signature analysis, from mutation categorization and visualization to de novo extraction, decomposition, assignment, simulation, clustered mutation detection, and genomic topography.
Generates mutational matrices from somatic mutation data across supported mutation classes and mutational contexts.
pip install SigProfilerMatrixGenerator
Creates standardized visualizations of mutational catalogues, signatures, decompositions, and sample-level contributions.
pip install sigProfilerPlotting
Extracts de novo mutational signatures from mutational matrices and estimates their activities in individual samples.
pip install SigProfilerExtractor
Decomposes de novo signatures into reference signatures and assigns known or custom signatures to samples and individual mutations.
pip install SigProfilerAssignment
Generates realistic simulated mutational landscapes for benchmarking, clustered-mutation analysis, and topography-related null models.
pip install SigProfilerSimulator
Detects clustered and non-clustered mutations and classifies clustered events such as DBS, MBS, omikli, and kataegis.
pip install SigProfilerClusters
Evaluates the spatial distribution of mutational processes relative to chromatin, replication, transcription, and strand-associated genomic features.
pip install SigProfilerTopography