recipe bioconductor-vidger

Create rapid visualizations of RNAseq data in R

Homepage

https://bioconductor.org/packages/3.11/bioc/html/vidger.html

License

GPL-3 | file LICENSE

Recipe

/bioconductor-vidger/meta.yaml

The aim of vidger is to rapidly generate information-rich visualizations for the interpretation of differential gene expression results from three widely-used tools: Cuffdiff, DESeq2, and edgeR.

package bioconductor-vidger

Versions

1.8.0-0, 1.6.0-0, 1.4.0-1, 1.2.0-0

Depends

• bioconductor-biobase >=2.48.0,<2.49.0

• bioconductor-deseq2 >=1.28.0,<1.29.0

• bioconductor-edger >=3.30.0,<3.31.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• r-base >=4.0,<4.1.0a0

• r-ggally

• r-ggplot2

• r-ggrepel

• r-knitr

• r-rcolorbrewer

• r-rmarkdown

• r-scales

• r-tidyr

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-vidger

and update with:

conda update bioconductor-vidger

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-vidger:<tag>

(see bioconductor-vidger/tags for valid values for <tag>)

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-vidger/README.html)