Differential gene expression analysis based on the negative binomial distribution

Bioconductor version: 2.9

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: Simon Anders, EMBL Heidelberg <sanders at>

Maintainer: Simon Anders <sanders at>

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PDF R Script Analysing RNA-Seq data with the "DESeq" package
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biocViews HighThroughputSequencing, ChIPseq, RNAseq, SAGE, DifferentialExpression
Depends Biobase(>= 2.13.11), locfit
Imports genefilter, geneplotter, methods, MASS
Suggests pasilla(>= 0.1.0)
System Requirements
License GPL (>= 3)
Depends On Me pasilla
Imports Me ArrayExpressHTS, DiffBind, EDASeq, rnaSeqMap
Suggests Me DiffBind, EDASeq, GenomicRanges, oneChannelGUI
Version 1.6.1
Since Bioconductor 2.6 (R-2.11)

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Package Source DESeq_1.6.1.tar.gz
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MacOS 10.5 (Leopard) binary DESeq_1.6.1.tgz
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