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Package: DESeq2
Type: Package
Title: Differential gene expression analysis based on the negative
binomial distribution
Version: 1.22.2
Author: Michael Love, Simon Anders, Wolfgang Huber
Maintainer: Michael Love <michaelisaiahlove@gmail.com>
Description: Estimate variance-mean dependence in count data from
high-throughput sequencing assays and test for differential
expression based on a model using the negative binomial
distribution.
License: LGPL (>= 3)
VignetteBuilder: knitr, rmarkdown
Imports: BiocGenerics (>= 0.7.5), Biobase, BiocParallel, genefilter,
methods, geneplotter, ggplot2, Hmisc, Rcpp (>= 0.11.0)
Depends: S4Vectors (>= 0.9.25), IRanges, GenomicRanges,
SummarizedExperiment (>= 1.1.6)
Suggests: testthat, knitr, rmarkdown, vsn, pheatmap, RColorBrewer, IHW,
apeglm, ashr, tximport, tximportData, readr, pbapply, airway,
pasilla (>= 0.2.10)
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/mikelove/DESeq2
biocViews: ImmunoOncology, Sequencing, RNASeq, ChIPSeq, Microbiome,
GeneExpression, Transcription, Normalization,
DifferentialExpression, Bayesian, Regression,
PrincipalComponent, Clustering
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/DESeq2
git_branch: RELEASE_3_8
git_last_commit: 3c6a89b
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
NeedsCompilation: yes
Packaged: 2019-01-05 00:53:28 UTC; biocbuild
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