This is the development version of decompTumor2Sig; for the stable release version, see decompTumor2Sig.
Decomposition of individual tumors into mutational signatures by signature refittingBioconductor version: Development (3.22)
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 gmail.com>
Citation (from within R, entercitation("decompTumor2Sig")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("decompTumor2Sig")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("decompTumor2Sig")
Details biocViews BiologicalQuestion, BiomedicalInformatics, DNASeq, Genetics, GenomicVariation, SNP, Sequencing, Software, SomaticMutation, StatisticalMethod Version 2.25.0 In Bioconductor since BioC 3.9 (R-3.6) (6 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 System Requirements URL http://rmpiro.net/decompTumor2Sig/ https://github.com/rmpiro/decompTumor2Sig Bug Reports https://github.com/rmpiro/decompTumor2Sig/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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