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Decomposition of individual tumors into mutational signatures by signature refitting

Bioconductor version: Release (3.19)

Uses quadratic programming for signature refitting, i.e., to decompose the mutation catalog from an individual tumor sample into a set of given mutational signatures (either Alexandrov-model signatures or Shiraishi-model signatures), computing weights that reflect the contributions of the signatures to the mutation load of the tumor.

Author: Rosario M. Piro [aut, cre], Sandra Krueger [ctb]

Maintainer: Rosario M. Piro <rmpiro at>

Citation (from within R, enter citation("decompTumor2Sig")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

A brief introduction to decompTumor2Sig HTML R Script
Reference Manual PDF


biocViews BiologicalQuestion, BiomedicalInformatics, DNASeq, Genetics, GenomicVariation, SNP, Sequencing, Software, SomaticMutation, StatisticalMethod
Version 2.20.0
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License GPL-2
Depends R (>= 4.0), ggplot2
Imports methods, Matrix, quadprog (>= 1.5-5), GenomicRanges, stats, GenomicFeatures, Biostrings, BiocGenerics, S4Vectors, plyr, utils, graphics, BSgenome.Hsapiens.UCSC.hg19, TxDb.Hsapiens.UCSC.hg19.knownGene, VariantAnnotation, SummarizedExperiment, ggseqlogo, gridExtra, data.table, GenomeInfoDb, readxl
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Source Package decompTumor2Sig_2.20.0.tar.gz
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macOS Binary (x86_64) decompTumor2Sig_2.20.0.tgz
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