Learning and teaching biological data science in the Bioconductor community.

Learning and teaching biological data science in the Bioconductor community.

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...

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Main Authors: Jenny Drnevich, Frederick J Tan, Fabricio Almeida-Silva, Robert Castelo, Aedin C Culhane, Sean Davis, Maria A Doyle, Ludwig Geistlinger, Andrew R Ghazi, Susan Holmes, Leo Lahti, Alexandru Mahmoud, Kozo Nishida, Marcel Ramos, Kevin Rue-Albrecht, David J H Shih, Laurent Gatto, Charlotte Soneson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-04-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1012925
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https://doi.org/10.1371/journal.pcbi.1012925

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