recipe bioconductor-deseq2

Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/DESeq2.html

License

LGPL (>= 3)

Recipe

/bioconductor-deseq2/meta.yaml

Links

biotools: deseq2, doi: 10.1186/s13059-014-0550-8

package bioconductor-deseq2

(downloads) docker_bioconductor-deseq2

Versions

1.22.1-0, 1.20.0-0, 1.18.1-1, 1.18.0-0, 1.16.1-3, 1.16.1-2, 1.16.1-0, 1.14.1-0, 1.12.4-5, 1.12.4-4, 1.12.4-3, 1.12.4-2, 1.12.4-1, 1.10.1-0, 1.10.0-1, 1.10.0-0, 1.8.2-0

Depends bioconductor-biobase

>=2.42.0,<2.43.0

Depends bioconductor-biocgenerics

>=0.28.0,<0.29.0

Depends bioconductor-biocparallel

>=1.16.0,<1.17.0

Depends bioconductor-genefilter

>=1.64.0,<1.65.0

Depends bioconductor-geneplotter

>=1.60.0,<1.61.0

Depends bioconductor-genomicranges

>=1.34.0,<1.35.0

Depends bioconductor-iranges

>=2.16.0,<2.17.0

Depends bioconductor-s4vectors

>=0.20.0,<0.21.0

Depends bioconductor-summarizedexperiment

>=1.12.0,<1.13.0

Depends libgcc-ng

>=7.3.0

Depends libstdcxx-ng

>=7.3.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-ggplot2

Depends r-hmisc

Depends r-locfit

Depends r-rcpp

>=0.11.0

Depends r-rcpparmadillo

Requirements

Installation

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

conda install bioconductor-deseq2

and update with:

conda update bioconductor-deseq2

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-deseq2:<tag>

(see bioconductor-deseq2/tags for valid values for <tag>)