Learning and teaching biological data science in the Bioconductor community.
Drnevich J., Tan FJ., Almeida-Silva F., Castelo R., Culhane AC., Davis S., Doyle MA., Geistlinger L., Ghazi AR., Holmes S., Lahti L., Mahmoud A., Nishida K., Ramos M., Rue-Albrecht K., Shih DJH., Gatto L., Soneson C.
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.