RnaSeqGeneEdgeRQL
This is the development version of RnaSeqGeneEdgeRQL; for the stable release version, see RnaSeqGeneEdgeRQL.
Gene-level RNA-seq differential expression and pathway analysis using Rsubread and the edgeR quasi-likelihood pipeline
Bioconductor version: Development (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("RnaSeqGeneEdgeRQL")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("RnaSeqGeneEdgeRQL")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RnaSeqGeneEdgeRQL")| From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline | HTML | R Script |
Details
| biocViews | GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow |
| Version | 1.30.0 |
| License | Artistic-2.0 |
| Depends | R (>= 3.3.0), edgeR(>= 4.3.6), gplots, org.Mm.eg.db, GO.db, BiocStyle |
| Imports | |
| System Requirements | |
| URL | http://f1000research.com/articles/5-1438/v2 |
See More
| Suggests | knitr, knitcitations, rmarkdown |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | RnaSeqGeneEdgeRQL_1.30.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| 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 |