recipe bioconductor-dexseq

The package is focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.



GPL (>= 3)




biotools: dexseq

package bioconductor-dexseq

(downloads) docker_bioconductor-dexseq


1.28.1-1, 1.28.1-0, 1.28.0-0, 1.26.0-2, 1.26.0-1, 1.26.0-0, 1.24.0-3, 1.24.0-1, 1.24.0-0, 1.22.0-0, 1.20.1-2, 1.20.1-1, 1.20.1-0, 1.18.4-1, 1.16.6-0

Depends bioconductor-annotationdbi


Depends bioconductor-biobase


Depends bioconductor-biocgenerics


Depends bioconductor-biocparallel


Depends bioconductor-biomart


Depends bioconductor-deseq2


Depends bioconductor-genefilter


Depends bioconductor-geneplotter


Depends bioconductor-genomicranges


Depends bioconductor-iranges


Depends bioconductor-rsamtools


Depends bioconductor-s4vectors


Depends bioconductor-summarizedexperiment


Depends htseq


Depends python


Depends r-base


Depends r-hwriter

Depends r-rcolorbrewer

Depends r-statmod

Depends r-stringr



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

conda install bioconductor-dexseq

and update with:

conda update bioconductor-dexseq

or use the docker container:

docker pull<tag>

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