RNAseq123
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR
Bioconductor version: Release (3.20)
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")
):
Installation
To install this package, start R (version "4.4") 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")
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 |
Details
biocViews | GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow |
Version | 1.30.0 |
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 | |
URL | https://f1000research.com/articles/5-1408/v3 |
See More
Suggests | knitr, rmarkdown, BiocStyle |
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 | RNAseq123_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/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 |