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RnaSeqGeneEdgeRQL

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

Bioconductor version: 3.24 · Package version: 1.37.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RnaSeqGeneEdgeRQL")

Details

MaintainerYunshun Chen <yuchen@wehi.edu.au>
AuthorYunshun Chen, Aaron Lun, Gordon Smyth
LicenseArtistic-2.0
URLhttp://f1000research.com/articles/5-1438/v2
Downloads rank144
Source branchdevel
biocViewsGeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow

Download

Follow the installation instructions to use this package in your R session.

Source packageRnaSeqGeneEdgeRQL_1.37.0.tar.gz
Dependencies

Depends: R (>= 3.3.0), edgeR (>= 4.3.6), gplots, org.Mm.eg.db, GO.db, BiocStyle

Suggests: knitr, knitcitations, rmarkdown