Computational reproducibility is difficult, especially over longer timeframes. In bioinformatics research, functional enrichment analysis is typically conducted in an irreproducible way. This repository is designed to instruct researchers on how to improve the reproducibility of pathway enrichment analysis. Using a Docker image allows researchers to keep a stable compute environment with a known version of operating system, R and packages. The downside of Docker is that working with it is typically done with the command line, and requires a relatively high degree of specialised knowledge. This work is designed to help researchers make their enrichment analyses more reproducible by providing two important things: Templates for a functional Docker container with R-based enrichment tools. Step-by-step guides to help users customise templates and deploy analyses in their research projects.

Release of GitHub repo https://github.com/markziemann/enrichment_recipe