bioconductor-sepa

downloads

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.

Home http://bioconductor.org/packages/3.6/bioc/html/SEPA.html
Versions 1.6.0, 1.8.0
License GPL(>=2)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-sepa

Installation

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

conda install bioconductor-sepa

and update with:

conda update bioconductor-sepa

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-sepa.