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Package: DESeq2
Type: Package
Title: Differential gene expression analysis based on the negative
binomial distribution
Version: 1.46.0
Authors@R: c(
person("Michael", "Love", email="michaelisaiahlove@gmail.com", role = c("aut","cre")),
person("Constantin", "Ahlmann-Eltze", role = c("ctb")),
person("Kwame", "Forbes", role = c("ctb")),
person("Simon", "Anders", role = c("aut","ctb")),
person("Wolfgang", "Huber", role = c("aut","ctb")),
person("RADIANT EU FP7", role="fnd"),
person("NIH NHGRI", role="fnd"),
person("CZI", role="fnd"))
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, matrixStats,
methods, stats4, locfit, ggplot2 (>= 3.4.0), Rcpp (>= 0.11.0),
MatrixGenerics
Depends: S4Vectors (>= 0.23.18), IRanges, GenomicRanges,
SummarizedExperiment (>= 1.1.6)
Suggests: testthat, knitr, rmarkdown, vsn, pheatmap, RColorBrewer,
apeglm, ashr, tximport, tximeta, tximportData, readr, pbapply,
airway, pasilla (>= 0.2.10), glmGamPoi, BiocManager
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/thelovelab/DESeq2
biocViews: Sequencing, RNASeq, ChIPSeq, GeneExpression, Transcription,
Normalization, DifferentialExpression, Bayesian, Regression,
PrincipalComponent, Clustering, ImmunoOncology
RoxygenNote: 7.3.1
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/DESeq2
git_branch: RELEASE_3_20
git_last_commit: 4887eb4
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.20
Date/Publication: 2024-10-29
NeedsCompilation: yes
Packaged: 2024-10-30 00:24:57 UTC; biocbuild
Author: Michael Love [aut, cre],
Constantin Ahlmann-Eltze [ctb],
Kwame Forbes [ctb],
Simon Anders [aut, ctb],
Wolfgang Huber [aut, ctb],
RADIANT EU FP7 [fnd],
NIH NHGRI [fnd],
CZI [fnd]
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