The one-week intensive summer school Biological Data Science teaches advanced computational analyses of modern molecular data types in biology and biomedicine, including single cell and spatial omics. It comprises lectures covering underlying theory and concepts, practical hands-on exercises, and informal discussion sessions. Lecture topics include modern biotechnologies for quantitative measurements, statistical analysis, visualisation, and computational tools. Hands-on exercises are looking at state-of-the-art datasets, using the R / Bioconductor environment. At the end of the course, you should be better able to design, implement and interpret analyses on your own (multi-)omic, single and/or spatial data, adapt and combine different tools, and make informed and scientifically sound choices about analysis strategies.
Faculty and Teaching Assistants: Vincent Carey, Harvard Medical School; Helena Lucia Crowell, Centro Nacional de Análisis Genómico (CNAG); Laurent Gatto, UCLouvain - Université catholique de Louvain; Wolfgang Huber, EMBL; Johannes Rainer, Eurac Research; Davide Risso, Dipartimento di Scienze Statistiche - Università di Padova; Charlotte Soneson, Friedrich Miescher Institute for Biomedical Research; Ilaria Billato, Università degli Studi di Padova (UNIPD) / University of Padua; Hugo Gruson, EMBL; Daria Lazic, EMBL.
Info: www.stat.unipd.it/en/csama-2026-biological-data-science
Programme and registration:
https://csama2026.bioconductor.eu/
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