This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see RnaSeqGeneEdgeRQL.
Bioconductor version: 3.9
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")
):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("RnaSeqGeneEdgeRQL")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("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 |
biocViews | GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow |
Version | 1.8.0 |
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 |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me |
Follow Installation instructions to use this package in your R session.
Source Package | RnaSeqGeneEdgeRQL_1.8.0.tar.gz |
Windows Binary | |
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 | https://bioconductor.org/packages/RnaSeqGeneEdgeRQL/ |
Package Downloads Report | Download Stats |
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