🎓 New Publication!
Our first paper on Bioconductor training from the Bioconductor Training Committee is now published in PLOS Computational Biology. We're pleased to share our work with the community.
Read here: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012925
Thank you to everyone involved for your contributions!
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.



