Upcoming NORBIS courses
The following NORBIS courses are currently available:
- Large genetic studies in biobanks: from registries screening, to interpretation of GWAS and beyond, October 23-27 at University of Oslo, by Stephanie Le Hellard, Ole A. Andreassen, Ted Reichborn, Wes Thompson.
- Metabolic pathway analysis, October 30 – November 3 2017 at NTNU, Trondheim, by Ines Heiland, Eivind Almaas, Ines Thiele, Ronan Fleming, Barbara Bakker.
- Modern methods for analysing survival and time-to-event data, December 4-8 2017 at University of Oslo, by Ørnulf Borgan, Håkon K. Gjessing and Odd O. Aalen.
- Statistical methods in relatedness and pedigree analysis, January 8-12 2018 at University of Oslo, by Magnus Dehli Vigeland and Thore Egeland.
- Sequence comparison and database search (NORBIS901), January 2018 at University of Bergen, by Inge Jonassen and Cedric Notredame.
- High Performance Computing in Bioinformatics (INF9380), March-April 2018, at University of Oslo, by Torbjørn Rognes and Abdulrahman Azab.
- Genetic epidemiology and genome-wide association analyses (GENESTAT), June 2018 at University of Bergen, by Håkon K. Gjessing, Rolv Terje Lie, Anil Jugessur.
Would you like to organise a NORBIS course? We now welcome proposals for new or existing courses, please view this page for more information about our courses and how to prepare one.
Please find a list of our past courses here. Some of these may be repeated on a two-year basis.
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).