recipe bioconductor-drimseq

Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq

Homepage:

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

License:

GPL (>= 3)

Recipe:

/bioconductor-drimseq/meta.yaml

Links:

biotools: 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.

package bioconductor-drimseq

Versions:

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

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-edger >=3.40.0,<3.41.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• r-base >=4.2,<4.3.0a0

• r-ggplot2

• r-mass

• r-reshape2

Required By:

• bioconductor-bandits

• bioconductor-isoformswitchanalyzer

• flair

Installation

With an activated Bioconda channel (see 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>)

Download stats

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