recipe bioconductor-ruvseq

Remove Unwanted Variation from RNA-Seq Data

Homepage

https://bioconductor.org/packages/3.14/bioc/html/RUVSeq.html

License

Artistic-2.0

Recipe

/bioconductor-ruvseq/meta.yaml

Links

biotools: ruvseq

This package implements the remove unwanted variation (RUV) methods of Risso et al. (2014) for the normalization of RNA-Seq read counts between samples.

package bioconductor-ruvseq

Versions

1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.16.0-0,  1.14.0-0, 

1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-edaseq >=2.28.0,<2.29.0

• bioconductor-edger >=3.36.0,<3.37.0

• r-base >=4.1,<4.2.0a0

• r-mass

Required By

• bioconductor-consensusde

• bioconductor-scone

• bioconductor-ribosomeprofilingqc

Installation

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

conda install bioconductor-ruvseq

and update with:

conda update bioconductor-ruvseq

or use the docker container:

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

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

Download stats

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-ruvseq/README.html)