recipe bioconductor-seqgsea

Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing

Homepage:

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

License:

GPL (>= 3)

Recipe:

/bioconductor-seqgsea/meta.yaml

The package generally provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene's differential expression and splicing, respectively.

package bioconductor-seqgsea

(downloads) docker_bioconductor-seqgsea

Versions:
1.38.0-01.34.0-01.32.0-01.28.0-01.26.0-01.24.0-11.22.0-01.20.0-01.18.0-0

1.38.0-01.34.0-01.32.0-01.28.0-01.26.0-01.24.0-11.22.0-01.20.0-01.18.0-01.16.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-seqgsea

and update with:

conda update bioconductor-seqgsea

or use the docker container:

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

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

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