RNAseq123
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR
Bioconductor version: 3.23 · Package version: 1.36.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
R package that supports the F1000Research workflow article on RNA-seq analysis using limma, Glimma and edgeR by Law et al. (2016).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RNAseq123")Details
| Maintainer | Matthew Ritchie <mritchie@wehi.edu.au> |
| Author | Charity Law, Monther Alhamdoosh, Shian Su, Xueyi Dong, Luyi Tian, Gordon Smyth and Matthew Ritchie |
| License | Artistic-2.0 |
| URL | https://f1000research.com/articles/5-1408/v3 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow |
| Package Short Url | https://bioconductor.org/packages/RNAseq123/ |
Citation
From within R, enter citation("RNAseq123"):
Charity Law, Monther Alhamdoosh, Shian Su, Xueyi Dong, Luyi Tian, Gordon Smyth and Matthew Ritchie. RNAseq123: RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR. doi:10.18129/B9.bioc.RNAseq123, R package version 1.36.0, https://bioconductor.org/packages/RNAseq123.
Generated from the package metadata; it may differ from the package's own citation.
Download
Follow the installation instructions to use this package in your R session.
| Source package | RNAseq123_1.36.0.tar.gz |
Dependencies
Depends: R (>= 3.3.0), Glimma (>= 1.1.9), limma, edgeR, gplots, RColorBrewer, Mus.musculus, R.utils, TeachingDemos, statmod, BiocWorkflowTools