Courses
Upcoming NORBIS courses
The following NORBIS courses are currently available:
- R-course for bio-scientists, 3-7 May, 2021 at University of Bergen, by Kornel Labun. The course will be given online. THE COURSE IS FULL.
- Machine learning, 17-21 May, 2021 at Linköping University by Björn Wallner. The course will be arranged online. THE COURSE IS FULL.
- Bioinformatics for environmental sequencing, 3-7 May, 2021 at University of Oslo, by Håvard Kauserud. In collaboration with Digital Life Norway Research School. Course is given online.
- Genomics for precision medicine, 14-18 June at Univeristy of Bergen by Anagh Yoshi. The course will be arranged online.
- Bioinformatics for functional multi-omics, November 1-5, 2021 at NMBU, by Philip Pope
- Modern methods for analyzing survival and time to event data, 4-10 December, 2021 by Morten Valberg at UiO.
- Metabolic pathway analysis, Oct/Nov 2021 at NTNU, by Ines Heiland. In collaboration with Digital Life Norway Research School.
- Clinical analysis of NGS data, Postponed due to Covid-19 regulations, at the University of Bergen, by Kim Brügger.
- Prediction (in molecular biology), Postponed due to Covid-19 regulations, at the University of Oslo, by Manuela Zucknick
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).