To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("DEXSeq")

In most cases, you don't need to download the package archive at all.

DEXSeq

 

Inference of differential exon usage in RNA-Seq

Bioconductor version: Release (3.1)

The package is focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.

Author: Simon Anders <sanders at fs.tum.de> and Alejandro Reyes <alejandro.reyes at embl.de>, both at EMBL Heidelberg

Maintainer: Alejandro Reyes <alejandro.reyes at embl.de>

Citation (from within R, enter citation("DEXSeq")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("DEXSeq")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DEXSeq")

 

PDF R Script Analyzing RNA-seq data for differential exon usage with the "DEXSeq" package
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, RNASeq, Sequencing, Software
Version 1.14.2
In Bioconductor since BioC 2.9 (R-2.14) (4 years)
License GPL (>= 3)
Depends BiocParallel, Biobase, IRanges(>= 2.1.10), GenomicRanges(>= 1.19.6), DESeq2(>= 1.5.63)
Imports BiocGenerics, biomaRt, hwriter, methods, stringr, Rsamtools, statmod, geneplotter, genefilter, RColorBrewer
LinkingTo
Suggests GenomicFeatures(>= 1.13.29), pasilla(>= 0.2.22), parathyroidSE, BiocStyle, knitr
SystemRequirements
Enhances parallel
URL
Depends On Me
Imports Me
Suggests Me GenomicRanges, oneChannelGUI, pasilla
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source DEXSeq_1.14.2.tar.gz
Windows Binary DEXSeq_1.14.2.zip
Mac OS X 10.6 (Snow Leopard) DEXSeq_1.14.2.tgz
Mac OS X 10.9 (Mavericks) DEXSeq_1.14.2.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DEXSeq/tree/release-3.1
Package Short Url http://bioconductor.org/packages/DEXSeq/
Package Downloads Report Download Stats

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