Package: signeR
Type: Package
Title: Empirical Bayesian approach to mutational signature discovery
Version: 1.16.0
Author: Rafael Rosales, Rodrigo Drummond, Renan Valieris, Israel Tojal
        da Silva
Maintainer: Renan Valieris <renan.valieris@accamargo.org.br>
Description: 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.
License: GPL-3
Imports: BiocGenerics, Biostrings, class, graphics, grDevices,
        GenomeInfoDb, GenomicRanges, IRanges, nloptr, methods, stats,
        utils, PMCMR
Depends: VariantAnnotation, NMF
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.100)
SystemRequirements: C++11
URL: https://github.com/rvalieris/signeR
NeedsCompilation: yes
ByteCompile: TRUE
biocViews: GenomicVariation, SomaticMutation, StatisticalMethod,
        Visualization
Suggests: knitr, rtracklayer, BSgenome.Hsapiens.UCSC.hg19
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/signeR
git_branch: RELEASE_3_12
git_last_commit: ca1c552
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-28
Packaged: 2020-10-29 03:28:22 UTC; biocbuild
Built: R 4.0.3; i386-w64-mingw32; 2020-10-29 13:56:31 UTC; windows
Archs: i386, x64
