recipe bioconductor-bayseq

Empirical Bayesian analysis of patterns of differential expression in count data

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/baySeq.html

License:

GPL-3

Recipe:

/bioconductor-bayseq/meta.yaml

Links:

biotools: bayseq, doi: 10.1186/1471-2105-11-422

This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.

package bioconductor-bayseq

(downloads) docker_bioconductor-bayseq

Versions:
2.28.0-02.26.0-02.24.0-12.24.0-02.22.0-02.20.0-02.18.0-12.16.0-02.14.0-0

2.28.0-02.26.0-02.24.0-12.24.0-02.22.0-02.20.0-02.18.0-12.16.0-02.14.0-02.12.0-02.10.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-bayseq

and update with:

conda update bioconductor-bayseq

or use the docker container:

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

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

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