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arXiv · 2410.01351

Learning and teaching biological data science in the Bioconductor community

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
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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.

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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. 2024-10-02. Learning and teaching biological data science in the Bioconductor community. https://doi.org/10.1371/journal.pcbi.1012925

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