The one-week intensive course Statistical Data Analysis for Genome-Scale Biology teaches statistical and computational data analysis of multi-omics studies in biology and biomedicine. It comprises lectures covering underlying theory and state of the art, and practical hands-on exercises based on the R / Bioconductor environment. At the end of the course, you should be able to run analysis workflows on your own (multi-)omic data, adapt and combine different tools, and make informed and scientifically sound choices about analysis strategies.



  • Vince Carey, Harvard Medical School
  • Laurent Gatto, UCLouvain
  • Robert Gentleman, Harvard Medical School
  • Wolfgang Huber, European Molecular Biology Laboratory
  • Julia Philipp, European Molecular Biology Laboratory
  • Johannes Rainer, Eurac Research
  • Davide Risso, University of Padova
  • Charlotte Soneson, Friedrich Miescher Institute for Biomedical Research

Participating Experts

  • Martin Morgan, Roswell Park Comprehensive Cancer Center
  • Levi Waldron, CUNY Graduate School of Public Health and Health Policy

Teaching Assistants

  • Constantin Ahlmann-Eltze, European Molecular Biology Laboratory
  • Simone Bell, European Molecular Biology Laboratory
  • Nitesh Turaga, Harvard Medical School and Bioconductor core team

Organised in collaboration with