Alexandrov Lab's repositories
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.
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.
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.
SigProfilerAssignment
Assignment of known mutational signatures to individual samples and individual somatic mutations
SigProfilerSingleSample
SigProfilerSingleSample allows attributing a known set of mutational signatures to an individual sample. The tool identifies the activity of each signature in the sample and assigns the probability for each signature to cause a specific mutation type in the sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
SigProfilerMatrixGeneratorR
R wrapper for utilizing the SigProfilerMatrixGenerator framework
SigProfilerSimulator
SigProfilerSimulator allows realistic simulations of mutational patterns and mutational signatures in cancer genomes. The tool can be used to simulate signatures of single point mutations, double point mutations, and insertion/deletions. Further, the tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
TMB_plotter
Python function for TMB snake plots
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.
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.
EnsembleVariantCallingPipeline
The EnsembleVariantCallingPipeline takes files in FASTQ or BAM format and performs SNV and INDEL variant calling from 4 variant callers (Mutect2, Strelka2, Varscan2, MuSE) and indel variant calling from 3 variant callers (Mutect2, Strelka2, Varscan2).
SigProfilerPlottingR
An R wrapper for running the SigProfilerPlotting framework
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.
SigProfilerSimulatorR
An R wrapper for running the SigProfilerSimulator framework
SigProfilerTopographyCombined
Combines all the topography analyses of separate SigProfilerTopography runs on different cancer types
SigProfilerAssignmentR
R wrapper for utilizing the SigProfilerAssignment framework