@article{956dcb7a92b84b76b7a96479400bd765,
title = "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.",
author = "Jenny Drnevich and Tan, \{Frederick J.\} and Fabricio Almeida-Silva and Robert Castelo and Culhane, \{Aedin C.\} and Sean Davis and Doyle, \{Maria A.\} and Ludwig Geistlinger and Ghazi, \{Andrew R.\} and Susan Holmes and Leo Lahti and Alexandru Mahmoud and Kozo Nishida and Marcel Ramos and Kevin Rue-Albrecht and Shih, \{David J.H.\} and Laurent Gatto and Charlotte Soneson",
note = "Publisher Copyright: {\textcopyright} 2025 Drnevich et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2025",
month = apr,
doi = "10.1371/journal.pcbi.1012925",
language = "English",
volume = "21",
journal = "PLoS Computational Biology",
issn = "1553-734X",
number = "4 APRIL",
}