RNAseq123

This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see RNAseq123.

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

Bioconductor version: 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>

Citation (from within R, enter citation("RNAseq123")):

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.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RNAseq123")

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) HTML R Script

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

System Requirements

Suggests knitr, rmarkdown, BiocStyle

Linking To

Enhances

Depends On Me

Imports Me

Suggests Me

Links To Me

Follow Installation instructions to use this package in your R session.

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

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