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Mutational Signature Estimation for Single Samples

Bioconductor version: Release (3.19)

Single sample estimation of exposure to mutational signatures. Exposures to known mutational signatures are estimated for single samples, based on quadratic programming algorithms. Bootstrapping the input mutational catalogues provides estimations on the stability of these exposures. The effect of the sequence composition of mutational context can be taken into account by normalising the catalogues.

Author: Franziska Schumann <franziska.schumann at>

Maintainer: Franziska Schumann <franziska.schumann at>

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


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:

Introduction to SigsPack HTML R Script
Reference Manual PDF


biocViews BiomedicalInformatics, DNASeq, SNP, Software, SomaticMutation, VariantAnnotation
Version 1.18.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-3
Depends R (>= 3.6)
Imports quadprog (>= 1.5-5), methods, Biobase, BSgenome(>= 1.46.0), VariantAnnotation(>= 1.24.5), Biostrings, GenomeInfoDb, GenomicRanges, rtracklayer, SummarizedExperiment, graphics, stats, utils
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Suggests IRanges, BSgenome.Hsapiens.UCSC.hg19, BiocStyle, knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package SigsPack_1.18.0.tar.gz
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macOS Binary (x86_64) SigsPack_1.18.0.tgz
macOS Binary (arm64) SigsPack_1.18.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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