Learning and Training with Bioconductor
HPCBio Assistant Director Dr. Jenny Drnevich and numerous members of the Bioconductor community have published a great collaborative paper in PLoS Computational Biology on best practices and key resources within Bioconductor for data-intensive research in the biological data sciences. The paper, “Learning and teaching biological data science in the Bioconductor community,” gives background on the Bioconductor community (for the unfamiliar) and discusses how to learn analyses using Bioconductor materials, getting involved with Bioconductor, how to get involved with training, partnerships with Data Carpentries, using AI/ML models in training, and much more! Drnevich J, Tan FJ, Almeida-Silva F, Castelo R, Culhane AC, Davis S, et al. (2025). Learning and teaching biological data science in the Bioconductor community. PLoS Comput Biol 21(4): e1012925. See the paper here!
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