SigProfilerMatrixGenerator
Generates mutational matrices from somatic mutation data across supported mutation classes and mutational contexts.
Open-source mutational signature analysis
One suite for reading the somatic mutational history of cancer genomes.
SigProfilerSuite brings together computational tools for generating mutational catalogs, extracting de novo signatures, decomposing de novo signatures into known signatures, assigning known signatures, visualizing patterns, simulating null models, detecting clustered mutations, and studying genomic topography.
Featured tools
Representative tools across the suite.
These examples highlight complementary steps in mutational signature analysis. The complete list of tools is available on the Tools page.
SigProfilerExtractor
Extracts de novo mutational signatures from mutational matrices and estimates their activities in individual samples.
SigProfilerAssignment
Decomposes de novo signatures into reference signatures and assigns known or custom signatures to samples and individual mutations.
SigProfilerTopography
Evaluates the spatial distribution of mutational processes relative to chromatin, replication, transcription, and strand-associated genomic features.
Team
A shared home for a multi-lab suite.
SigProfilerSuite is coordinated across the labs contributing to the maintenance and development of the tools.
Alexandrov lab
Founding lab of the SigProfilerSuite, responsible for scientific coordination.
Díaz-Gay lab
Maintains SigProfilerAssignment, SigProfilerClusters, and SigProfilerSimulator.
Islam lab
Maintains SigProfilerMatrixGenerator, SigProfilerExtractor, and SigProfilerPlotting.
Otlu lab
Maintains SigProfilerTopography.
Questions or support requests?
For general questions, please contact the SigProfilerSuite team. Tool-specific requests can also be opened as GitHub issues in the corresponding repository.