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DESeq : Differential gene expression analysis based on the negative binomial distribution

Package: DESeq
Version: 1.24.0
Title: Differential gene expression analysis based on the negative
binomial distribution
Author: Simon Anders, EMBL Heidelberg <sanders@fs.tum.de>
Maintainer: Simon Anders <sanders@fs.tum.de>
Imports: genefilter, geneplotter, methods, MASS, RColorBrewer
Depends: BiocGenerics (>= 0.7.5), Biobase (>= 2.21.7), locfit, lattice
Suggests: pasilla (>= 0.2.10), vsn, gplots
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: GPL (>= 3)
URL: http://www-huber.embl.de/users/anders/DESeq
Collate: class_and_slots.R core.R methods.R plotDispEsts.R welcome.R
biocViews: Sequencing, ChIPSeq, RNASeq, SAGE, DifferentialExpression
NeedsCompilation: yes
Packaged: 2016-05-04 03:31:38 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: ChIPSeq, DifferentialExpression, RNASeq, SAGE, Sequencing
3 images, 28 functions, 0 datasets
Reverse Depends: 7