To install this package, start R and enter:

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

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

RnaSeqGeneEdgeRQL

 

   

Gene-level RNA-seq differential expression and pathway analysis using Rsubread and the edgeR quasi-likelihood pipeline

Bioconductor version: Release (3.5)

A workflow package for RNA-Seq experiments

Author: Yunshun Chen <yuchen at wehi.edu.au>, Aaron Lun <alun at wehi.edu.au>, Gordon Smyth <smyth at wehi.edu.au>

Maintainer: Yunshun Chen <yuchen at wehi.edu.au>

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

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline
PDF   Reference Manual

Details

biocViews Software, WorkflowStep
Version 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (< 6 months)
License Artistic-2.0
Depends R (>= 3.3.0), edgeR, gplots, org.Mm.eg.db, GO.db
Imports
LinkingTo
Suggests knitr, knitcitations
SystemRequirements
Enhances
URL http://f1000research.com/articles/5-1438/v2
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source RnaSeqGeneEdgeRQL_1.0.0.tar.gz
Windows Binary RnaSeqGeneEdgeRQL_1.0.0.zip
Mac OS X 10.11 (El Capitan) RnaSeqGeneEdgeRQL_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/RnaSeqGeneEdgeRQL/tree/release-3.5
Package Short Url http://bioconductor.org/packages/RnaSeqGeneEdgeRQL/
Package Downloads Report Download Stats

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