Decipher Mutational Signatures from Somatic Mutational Catalogs
Overview
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) doi:10.1038/s41598-020-75062-0 and is based on a custom R-based implementation of the original MATLAB WTSI framework by Alexandrov LB et al (2013) doi:10.1016/j.celrep.2012.12.008.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Damiano Fantini <damiano.fantini@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Damiano",
family = "Fantini",
role = c("aut", "cre"),
email = "damiano.fantini@gmail.com"),
person(given = "Vania",
family = "Vidimar",
role = "aut"),
person(given = c("Joshua", "J"),
family = "Meeks",
role = "aut"))
as necessary.- NOTE11 OK, 2 NOTE2026-06-09
- ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 66 (13 internal)includes a package overview page
- Examples that run
- 100%25 run in a plain check
- Exported functions with examples
- 64%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 52%
Downloads
Dependencies
Installing mutSignatures adds 22 packages (8 with compiled code, 15 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.
Code & Tests
Datasets
People & History
Maintainer since 1.2 (2017)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 2.1.1Latest
- 2.0.12020-07-06 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+added 22 exports
attachContext, attachMutType, countMutTypes, decipherMutationalProcesses, extractXvarlinkData, filterSNV, frequencize, getCosmicSignatures, importVCFfiles, matchSignatures, plotMutTypeProfile, plotSignExposures, prelimProcessAssess, processVCFdata, removeMismatchMut, resolveMutSignatures, revCompl, setMutClusterParams, silhouetteMLB, simplifySignatures, sortByMutations, table2df - RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.22017-01-24
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2017-01-24
- Total releases
- 3 / 9 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 438 KB / 1 file
- Download size
- 921 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mutSignatures")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.