To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("goseq")

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

goseq

   

This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see goseq.

Gene Ontology analyser for RNA-seq and other length biased data

Bioconductor version: 2.8

Detects Gene Ontology and/or other user defined categories which are over/under represented in RNA-seq data

Author: Matthew Young

Maintainer: Matthew Young <myoung at wehi.edu.au>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("goseq")

Documentation

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

browseVignettes("goseq")

 

PDF goseq.pdf
PDF   Reference Manual

Details

biocViews GO, GeneExpression, HighThroughputSequencingData, RNAseq, Software, Transcription
Version 1.4.0
In Bioconductor since BioC 2.6 (R-2.11) (6 years)
License LGPL (>= 2)
Depends R (>= 2.11.0), BiasedUrn, geneLenDataBase
Imports mgcv, graphics, stats, utils, AnnotationDbi
LinkingTo
Suggests GO.db, edgeR, org.Hs.eg.db
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source goseq_1.4.0.tar.gz
Windows Binary goseq_1.4.0.zip
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/goseq/tree/release-2.8
Package Short Url http://bioconductor.org/packages/goseq/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center