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signeR

Empirical Bayesian approach to mutational signature discovery

Bioconductor version: 3.23 · Package version: 2.14.0

The signeR package provides an empirical Bayesian approach to mutational signature discovery. It is designed to analyze single nucleotide variation (SNV) counts in cancer genomes, but can also be applied to other features as well. Functionalities to characterize signatures or genome samples according to exposure patterns are also provided.

Installation

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

BiocManager::install("signeR")

Details

MaintainerRenan Valieris <renan.valieris@accamargo.org.br>
AuthorRafael Rosales, Rodrigo Drummond, Renan Valieris, Alexandre Defelicibus, Israel Tojal da Silva
LicenseGPL-3
URLhttps://github.com/TojalLab/signeR
System RequirementsC++14
Downloads rank416
Source branchRELEASE_3_23
biocViewsGenomicVariation, Software, SomaticMutation, StatisticalMethod, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.1.0), NMF

Imports: BiocGenerics, Biostrings, class, grDevices, GenomeInfoDb, GenomicRanges, IRanges, nloptr, methods, stats, utils, PMCMRplus, parallel, pvclust, ppclust, clue, survival, maxstat, future, VGAM, MASS, kknn, glmnet, e1071, randomForest, ada, future.apply, ggplot2, pROC, pheatmap, RColorBrewer, listenv, reshape2, scales, survminer, dplyr, ggpubr, cowplot, tibble, readr, shiny, shinydashboard, shinycssloaders, shinyWidgets, bsplus, DT, magrittr, tidyr, BiocFileCache, proxy, rtracklayer, BSgenome, broom, VariantAnnotation

LinkingTo: Rcpp, RcppArmadillo (>= 0.7.100)

Suggests: knitr, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg38, rmarkdown