recipe bioconductor-drimseq

The package provides two frameworks. One for the differential transcript usage analysis between different conditions and one for the tuQTL analysis. Both are based on modeling the counts of genomic features (i.e., transcripts) with the Dirichlet-multinomial distribution. The package also makes available functions for visualization and exploration of the data and results.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/DRIMSeq.html

License

GPL (>= 3)

Recipe

/bioconductor-drimseq/meta.yaml

Links

biotools: drimseq

package bioconductor-drimseq

Versions

1.10.0-0, 1.8.0-0, 1.6.0-0

Depends

• bioconductor-biocgenerics >=0.28.0,<0.29.0

• bioconductor-biocparallel >=1.16.0,<1.17.0

• bioconductor-edger >=3.24.0,<3.25.0

• bioconductor-genomicranges >=1.34.0,<1.35.0

• bioconductor-iranges >=2.16.0,<2.17.0

• bioconductor-limma >=3.38.0,<3.39.0

• bioconductor-s4vectors >=0.20.0,<0.21.0

• r-base >=3.5.1,<3.5.2.0a0

• r-ggplot2

• r-mass

• r-reshape2

Required By

• bioconductor-isoformswitchanalyzer

Installation

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

conda install bioconductor-drimseq

and update with:

conda update bioconductor-drimseq

or use the docker container:

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

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