Learning and teaching biological data science in the Bioconductor community

Abstract

Modern biological research is increasingly data-intensive, leading to a growing demand for effective training in biological data science. In this article, we provide an overview of key resources and best practices available within the Bioconductor project - an open-source software community focused on omics data analysis. This guide serves as a valuable reference for both learners and educators in the field.

16 pages, 2 figures, 1 table, 1 supplemental table; update after peer review; 16 pages, 1 figure, 1 table, 1 supplemental table