RNAseq123

DOI: 10.18129/B9.bioc.RNAseq123    

RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR

Bioconductor version: Release (3.14)

R package that supports the F1000Research workflow article on RNA-seq analysis using limma, Glimma and edgeR by Law et al. (2016).

Author: Charity Law, Monther Alhamdoosh, Shian Su, Xueyi Dong, Luyi Tian, Gordon Smyth and Matthew Ritchie

Maintainer: Matthew Ritchie <mritchie at wehi.edu.au>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("RNAseq123")

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("RNAseq123")

 

HTML	R Script	A guide to creating design matrices for gene expression experiments (English version)
HTML	R Script	RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR (Chinese version)
HTML	R Script	RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR (English version)

Details

biocViews	GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow
Version	1.18.0
License	Artistic-2.0
Depends	R (>= 3.3.0), Glimma(>= 1.1.9), limma, edgeR, gplots, RColorBrewer, Mus.musculus, R.utils, TeachingDemos, statmod, BiocWorkflowTools
Imports
LinkingTo
Suggests	knitr, rmarkdown, BiocStyle
SystemRequirements
Enhances
URL	https://f1000research.com/articles/5-1408/v3
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	RNAseq123_1.18.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/RNAseq123
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/RNAseq123
Package Short Url	https://bioconductor.org/packages/RNAseq123/
Package Downloads Report	Download Stats