signeR

DOI: 10.18129/B9.bioc.signeR    

Empirical Bayesian approach to mutational signature discovery

Bioconductor version: Release (3.6)

The signeR package provides an empirical Bayesian approach to mutational signature discovery. It is designed to analyze single nucleotide variaton (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.

Author: Rafael Rosales, Rodrigo Drummond, Renan Valieris, Israel Tojal da Silva

Maintainer: Renan Valieris <renan.valieris at cipe.accamargo.org.br>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("signeR")

Documentation

HTML	R Script	signeR
PDF		Reference Manual
Text		NEWS

Details

biocViews	GenomicVariation, Software, SomaticMutation, StatisticalMethod, Visualization
Version	1.4.0
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 years)
License	GPL-3
Depends	NMF
Imports	BiocGenerics, Biostrings, BSgenome(>= 1.36.3), class, graphics, grDevices, GenomicRanges, nloptr, methods, NMF, stats, utils, VariantAnnotation, PMCMR
LinkingTo	Rcpp, RcppArmadillo (>= 0.7.100)
Suggests	knitr, rtracklayer, BSgenome.Hsapiens.UCSC.hg19
SystemRequirements	C++11
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	signeR_1.4.0.tar.gz
Windows Binary	signeR_1.4.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	signeR_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/signeR
Package Short Url	http://bioconductor.org/packages/signeR/
Package Downloads Report	Download Stats