recipe bioconductor-sepa

Given single-cell RNA-seq data and true experiment time of cells or pseudo-time cell ordering, SEPA provides convenient functions for users to assign genes into different gene expression patterns such as constant, monotone increasing and increasing then decreasing. SEPA then performs GO enrichment analysis to analysis the functional roles of genes with same or similar patterns.

Homepage

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

License

GPL(>=2)

Recipe

/bioconductor-sepa/meta.yaml

Links

biotools: sepa, doi: 10.1038/nmeth.3252

package bioconductor-sepa

(downloads) docker_bioconductor-sepa

Versions

1.13.0-1, 1.12.0-0, 1.10.0-0, 1.8.0-0, 1.6.0-0

Depends
Required By

Installation

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

conda install bioconductor-sepa

and update with:

conda update bioconductor-sepa

or use the docker container:

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

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