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 omics data analysis. This guide serves as a valuable reference for both learners and educators in the field.
Authors
- Susan Holmes (ORCID: https://orcid.org/0000-0002-2208-8168)
- Sean Davis (ORCID: https://orcid.org/0000-0002-8991-6458)
- David Shih (ORCID: https://orcid.org/0000-0002-9802-4937)
- Charlotte Soneson (ORCID: https://orcid.org/0000-0003-3833-2169)
- Jenny Drnevich (ORCID: https://orcid.org/0000-0002-1401-8311)
- Ludwig Geistlinger (ORCID: https://orcid.org/0000-0002-2495-5464)
- Kévin Rue-Albrecht (ORCID: https://orcid.org/0000-0003-3899-3872)
- Fabricio Almeida‐Silva (ORCID: https://orcid.org/0000-0002-5314-2964)
- Kozo Nishida (ORCID: https://orcid.org/0000-0001-8501-7319)
- Frederick J. Tan
- Marcel Ramos (ORCID: https://orcid.org/0000-0002-3242-0582)
- Laurent Gatto (ORCID: https://orcid.org/0000-0002-1520-2268)
- Robert Castelo (ORCID: https://orcid.org/0000-0003-2229-4508)
- Maria Doyle (ORCID: https://orcid.org/0000-0003-4847-8436)
- Aedín C. Culhane (ORCID: https://orcid.org/0000-0002-1395-9734)
- Leo Lahti (ORCID: https://orcid.org/0000-0001-5537-637X)
- Andrew R. Ghazi (ORCID: https://orcid.org/0000-0002-8888-946X)
- Alexandru Mahmoud (ORCID: https://orcid.org/0000-0002-3779-492X)
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- Harvard University (US)
- Johns Hopkins University (US)
- University of Turku (FI)
- University of Illinois Urbana-Champaign (US)
- Universitat Pompeu Fabra (ES)
- City University of New York (US)
- University of Limerick (IE)
- Ghent University (BE)
- University of Oxford (GB)
- VIB-UGent Center for Plant Systems Biology (BE)
- MRC Weatherall Institute of Molecular Medicine (GB)
- de Duve Institute (BE)
- RIKEN Center for Biosystems Dynamics Research (JP)
- Center for Systems Biology (US)
- University of Colorado Anschutz Medical Campus (US)
- Friedrich Miescher Institute (CH)
- University of Hong Kong (HK)
- Stanford University (US)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1371/journal.pcbi.1012925
- Citations
- 3
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Silicon Valley Community Foundation
- Novartis Foundation
- Chan Zuckerberg Initiative
- European Commission
- Academy of Finland
- National Institutes of Health
- National Cancer Institute