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

  • Vince Carey, Harvard Medical School
  • Charlotte Soneson, Friedrich Miescher Institute for Biomedical Research
  • Robert Gentleman, Harvard Medical School
  • Wolfgang Huber, European Molecular Biology Laboratory
  • Laurent Gatto, UCLouvain
  • Mike Love, University of North Carolina at Chapel Hill
  • Davide Risso, University of Padova
  • Chiara Romualdi, University of Padova
  • Enrica Calura, University of Padova
  • Ilaria Billato, University of Padova
  • Philippine Louail, Eurac Research

Organised in collaboration with