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mutSignatures  

Decipher Mutational Signatures from Somatic Mutational Catalogs
View on CRAN: Click here


Download and install mutSignatures package within the R console
Install from CRAN:
install.packages("mutSignatures")

Install from Github:
library("remotes")
install_github("cran/mutSignatures")

Install by package version:
library("remotes")
install_version("mutSignatures", "2.1.1")



Attach the package and use:
library("mutSignatures")
Maintained by
Damiano Fantini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-24
Latest Update: 2020-11-09
Description:
Cancer cells accumulate DNA mutations as result of DNA damage and DNA repair processes. This computational framework is aimed at deciphering DNA mutational signatures operating in cancer. The framework includes modules that support raw data import and processing, mutational signature extraction, and results interpretation and visualization. The framework accepts widely used file formats storing information about DNA variants, such as Variant Call Format files. The framework performs Non-Negative Matrix Factorization to extract mutational signatures explaining the observed set of DNA mutations. Bootstrapping is performed as part of the analysis. The framework supports parallelization and is optimized for use on multi-core systems. The software was described by Fantini D et al (2020) and is based on a custom R-based implementation of the original MATLAB WTSI framework by Alexandrov LB et al (2013) .
How to cite:
Damiano Fantini (2017). mutSignatures: Decipher Mutational Signatures from Somatic Mutational Catalogs. R package version 2.1.1, https://cran.r-project.org/web/packages/mutSignatures. Accessed 22 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:33), 1.2 (2017-01-24 08:12), 2.0.1 (2020-07-06 11:20)
Other packages that cited mutSignatures R package
View mutSignatures citation profile
Other R packages that mutSignatures depends, imports, suggests or enhances
Complete documentation for mutSignatures
Functions, R codes and Examples using the mutSignatures R package
Some associated functions: addWeak . alexaNMF . as.data.frame-mutSignExposures-method . as.data.frame-mutationCounts-method . as.data.frame-mutationSignatures-method . as.list-mutFrameworkParams-method . as.list-mutationSignatures-method . as.matrix-mutationCounts-method . as.mutation.counts . as.mutation.signatures . as.mutsign.exposures . attachContext . attachMutType . bootstrapCancerGenomes . cbind2 . chihJenNMF . coerceObj-methods . countMutTypes . custom_cssls . custom_fcnnls . decipherMutationalProcesses . deconvoluteMutCounts . evaluateStability . extractSignatures . extractXvarlinkData . filterOutIterations . filterSNV . frequencize . getCosmicSignatures . getCounts . getFwkParam . getMutationTypes . getSampleIdentifiers . getSignatureIdentifiers . getTestRunArgs . importVCFfiles . leadZeros . matchSignatures . msigPlot . mutFrameworkParams-class . mutFrameworkParams-show . mutSigData . mutSignExposures-class . mutSignExposures-show . mutSignatures-package . mutationCounts-class . mutationCounts-show . mutationSignatures-class . mutationSignatures-show . plotMutTypeProfile . plotSignExposures . prelimProcessAssess . processVCFdata . removeMismatchMut . removeWeak . resolveMutSignatures . revCompl . setFwkParam . setMutClusterParams . silhouetteMLB . simplifySignatures . sortByMutations . sub-mutSignExposures-numeric-ANY-ANY-method . sub-mutationCounts-numeric-ANY-ANY-method . sub-mutationSignatures-numeric-ANY-ANY-method . table2df . 
Some associated R codes: s01_all_classes.R . s02_all_methods.R . s03_all_functions.R . s04_all_extra.R .  Full mutSignatures package functions and examples
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