This is the released version of RnaSeqGeneEdgeRQL; for the devel version, see RnaSeqGeneEdgeRQL.
Gene-level RNA-seq differential expression and pathway analysis using Rsubread and the edgeR quasi-likelihood pipelineBioconductor version: Release (3.21)
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, entercitation("RnaSeqGeneEdgeRQL")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RnaSeqGeneEdgeRQL")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RnaSeqGeneEdgeRQL")Follow Installation instructions to use this package in your R session.
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