Upcoming NORBIS courses
The following NORBIS courses are currently available:
- Statistical methods in relatedness and pedigree analysis, January 10-14, 2022 at University of Oslo by Magnus Dehli Vigeland. Please note that this course has been postponed until further notice.
- Population genomics, 21-25 February, 2022 at North University by Joost Raeymaekers
- High Performance Computing in Bioinformatics, 14-25 March 2022 at UiO by Torbjørn Rognes
- Sequence comparison and database search (NORBIS901), 9-13 May, 2022 at UiB by Inge Jonassen and Cedric Notredame
- Collaborative Research Software Development, two weeks in June 2022 at UiB by David Grellsheid
- Genome sequencing technologies, assembly, variant calling and statistical genomics, Week 42 with exam in week 47, 2022 (tentative) at UiO by Torbjørn Rognes
- MOL8008 – Bioinformatics Methods for next Generation Sequencing Analysis, 3-7 October, project November 2022(tentative) at NTNU by Morten Beck Rye
- Prediction (in molecular biology), Postponed due to Covid-19 regulations, at the University of Oslo, by Manuela Zucknick
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.
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).