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Upcoming NORBIS courses

The following NORBIS courses are currently available:

  • Statistical methods in relatedness and pedigree analysis, January 6-10, 2020, at the University of Oslo, by Magnus Dehli Vigeland
  • Population genomics, March 9-13, 2020, at North University, Bodø, by Joost Raeymaekers
  • Clinical analysis of NGS data, March 16-20, 2020, at the University of Bergen, by Kim Brügger
  • High Performance Computing in Bioinformatics, March 23 – April 3, 2020, at the University of Oslo, by Torbjørn Rognes
  • Prediction (in molecular biology), February/March 2020 (tba) at the University of Oslo, by Manuela Zucknick
  • Genetic epidemiology and genome-wide association analyses, May 4-8, 2020, at the University of Bergen, by Håkon Gjessing
  • Sequence comparison and database search, May 25-29, 2020 at the University of Bergen, by Inge Jonassen and Cedric Notredame
  • Genome sequencing technologies, assembly, variant calling and statistical genomics, October 19-30th, 2020, with exam November 27th, at the University of Oslo, by Torbjørn Rognes


Course proposals

Would you like to organise a NORBIS course? We welcome proposals for new or existing courses, please view this page for more information about our courses and how to prepare one.


Past courses

Please find a list of our past courses here. Some of these may be repeated on a two-year basis.


General information about NORBIS courses

NORBIS organises in-depth methodological courses within bioinformatics, biostatistics and system biology. Three categories of courses are within the scope of the school:

  • Core courses: covering methodology within one discipline at in-depth level (i.e. each course being within either bioinformatics, biostatistics, machine learning or systems biology and covering sets of methods and approaches central to molecular biological enquires)
  • Combined courses: integrating methods from multiple disciplines (e.g. prediction in molecular biology or dimension reduction)
  • Interface courses: covering methods for one particular application domain (e.g. gene regulation or metagenomics).