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Differential gene expression analysis based on the negative binomial distribution

Bioconductor version: 2.13

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

Author: Michael Love (MPIMG Berlin), Simon Anders, Wolfgang Huber (EMBL Heidelberg)

Maintainer: Michael Love <michaelisaiahlove at>

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PDF R Script Analyzing RNA-Seq data with the "DESeq2" package
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biocViews ChIPseq, DifferentialExpression, HighThroughputSequencing, RNAseq, SAGE, Software
Version 1.2.10
In Bioconductor since BioC 2.12 (R-3.0)
License GPL (>= 3)
Depends GenomicRanges, IRanges, Rcpp (>= 0.10.1), RcppArmadillo (>=
Imports BiocGenerics(>= 0.7.5), methods, locfit, genefilter, RColorBrewer, lattice
Suggests RUnit, Biobase, parathyroidSE, pasilla(>= 0.2.10), vsn, gplots, BiocStyle
System Requirements
Depends On Me
Imports Me HTSFilter, ReportingTools
Suggests Me BiocGenerics, DiffBind, gage

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