This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see RnaSeqGeneEdgeRQL.

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

Bioconductor version: 3.8

This workflow package provides, through its vignette, a complete case study analysis of an RNA-Seq experiment using the Rsubread and edgeR packages. The workflow starts from read alignment and continues on to data exploration, to differential expression and, finally, to pathway analysis. The analysis includes publication quality plots, GO and KEGG analyses, and the analysis of a expression signature as generated by a prior experiment.

Author: Yunshun Chen, Aaron Lun, Gordon Smyth

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

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


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


biocViews GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow
Version 1.4.1
License Artistic-2.0
Depends R (>= 3.3.0), edgeR, gplots, org.Mm.eg.db, GO.db
Suggests knitr, knitcitations
URL http://f1000research.com/articles/5-1438
Depends On Me
Imports Me
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Source Package RnaSeqGeneEdgeRQL_1.4.1.tar.gz
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Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/RnaSeqGeneEdgeRQL
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RnaSeqGeneEdgeRQL
Package Short Url http://bioconductor.org/packages/RnaSeqGeneEdgeRQL/
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