recipe bioconductor-erccdashboard

Assess Differential Gene Expression Experiments with ERCC Controls

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/erccdashboard.html

License:

GPL (>=2)

Recipe:

/bioconductor-erccdashboard/meta.yaml

Technical performance metrics for differential gene expression experiments using External RNA Controls Consortium (ERCC) spike-in ratio mixtures.

package bioconductor-erccdashboard

Versions:

1.32.0-0,  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,  1.18.0-0, 

1.32.0-0,  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,  1.18.0-0,  1.16.1-0,  1.16.0-0

Depends:

• bioconductor-edger >=3.40.0,<3.41.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-qvalue >=2.30.0,<2.31.0

• r-base >=4.2,<4.3.0a0

• r-ggplot2 >=2.1.0

• r-gplots

• r-gridextra >=2.0.0

• r-gtools

• r-locfit

• r-mass

• r-plyr

• r-reshape2

• r-rocr

• r-scales

• r-stringr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-erccdashboard

and update with:

conda update bioconductor-erccdashboard

or use the docker container:

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

(see bioconductor-erccdashboard/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-erccdashboard/README.html)