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

  • Anne-Laure Boulesteix, Ludwig Maximilians Universitat Munchen
  • Vince Carey, Harvard Medical School
  • Maria Doyle, University of Limerick
  • Laurent Gatto, UCLouvain
  • Robert Gentleman, Harvard Medical School
  • Wolfgang Huber, European Molecular Biology Laboratory
  • Philippine Louail, Eurac Research
  • Michael Love, University of North Carolina at Chapel Hill
  • Davide Risso, University of Padova
  • Charlotte Soneson, Friedrich Miescher Institute for Biomedical Research
  • Ilaria Billato, University of Padova

Organised in collaboration with