Learning and teaching biological data science in the Bioconductor community.

Drnevich, Jenny; Tan, Frederick J; Almeida-Silva, Fabricio; Castelo, Robert; Culhane, Aedin C; Davis, Sean; Doyle, Maria A; Geistlinger, Ludwig et al. · PLoS Comput Biol · 2025

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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.

Medical subject headings