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SigsPack

Mutational Signature Estimation for Single Samples

Bioconductor version: 3.23 · Package version: 1.26.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SigsPack")

Details

MaintainerFranziska Schumann <franziska.schumann@student.hpi.de>
AuthorFranziska Schumann <franziska.schumann@student.hpi.de>
LicenseGPL-3
URLhttps://github.com/bihealth/SigsPack
Bug Reportshttps://github.com/bihealth/SigsPack/issues
Downloads rank469
Source branchRELEASE_3_23
biocViewsBiomedicalInformatics, DNASeq, SNP, Software, SomaticMutation, VariantAnnotation

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSigsPack_1.26.0.tar.gz
Windows binary (x86_64)SigsPack_1.26.0.zip
macOS binary (arm64)SigsPack_1.26.0.tgz
macOS binary (x86_64)SigsPack_1.26.0.tgz
Dependencies

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

Suggests: IRanges, BSgenome.Hsapiens.UCSC.hg19, BiocStyle, knitr, rmarkdown