A guide and best practices for R/Bioconductor tool integration in Galaxy.

Turaga N, Freeberg MA, Baker D, Chilton J, Galaxy Team, Nekrutenko A, Taylor J.
F1000Research. November 2016; 5:2757
Links: F1000Research

The Bioconductor Project (https://www.bioconductor.org/) provides one of the largest suites of open source bioinformatics tools for analyzing genomics and biomedical data from diverse high-throughput assays, including DNA microarrays, flow cytometry, and deep sequencing. Bioconductor has an active user community of researchers from across a spectrum of biomedical professions, who routinely analyze complex genomics datasets. Bioconductor tools and packages are primarily based on R (https://www.r-project.org/), a programming language and integrated environment developed for statistical computing and data visualization. By submitting R packages to Bioconductor, developers can easily distribute powerful statistical analysis and visualization tools, while supporting efforts towards reproducible scientific research.