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")):

To install this package, start R and enter:

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

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

biocViews	Software, WorkflowStep
Version	1.0.0
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

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

Source Package	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
Source Repository	git clone https://git.bioconductor.org/packages/RnaSeqGeneEdgeRQL
Package Short Url	http://bioconductor.org/packages/RnaSeqGeneEdgeRQL/
Package Downloads Report	Download Stats

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