Bioconductor version: 3.7
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, 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 and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("RNAseq123")
To view available workflows for the version of this package installed in your system, start R and enter:
browseVignettes("RNAseq123")
HTML | R Script | RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR |
biocViews | GeneExpressionWorkflow, Workflow |
Version | 1.2.0 |
License | Artistic-2.0 |
Depends | R (>= 3.3.0), Glimma(>= 1.1.9), limma, edgeR, Mus.musculus |
Imports | |
LinkingTo | |
Suggests | knitr, rmarkdown, BiocStyle |
SystemRequirements | |
Enhances | |
URL | http://f1000research.com/articles/5-1408/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
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