This framework allows you to design and implement complex pipelines, and deploy them on your institution’s computing cluster. This has been built keeping in mind the needs of bioinformatics workflows. However, it is easily extendable to any field where a series of steps (shell commands) are to be executed in a (work)flow.

Home https://github.com/sahilseth/flowr
Versions 0.9.10,
License MIT + file LICENSE
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-flowr


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

conda install r-flowr

and update with:

conda update r-flowr


A Docker container is available at https://quay.io/repository/biocontainers/r-flowr.