To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("signeR")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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>
Citation (from within R,
enter citation("signeR")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("signeR")
HTML | R Script | signeR |
Reference Manual | ||
Text | NEWS |
biocViews | GenomicVariation, Software, SomaticMutation, StatisticalMethod, Visualization |
Version | 1.2.2 |
In Bioconductor since | BioC 3.4 (R-3.3) (1 year) |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | signeR_1.2.2.tar.gz |
Windows Binary | signeR_1.2.2.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | signeR_1.2.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/signeR |
Package Short Url | http://bioconductor.org/packages/signeR/ |
Package Downloads Report | Download Stats |
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