Upcoming NORBIS courses
The following NORBIS courses are currently available:
- Modern methods for analyzing survival and time to event data, 9-13 December, 2019, at UiO by Ørnulf Borgan
- Metabolic pathway analysis, 4-8 November, 2019, at NTNU by Ines Heiland
- Bioinformatics for functional metagenomics, November 4-8, 2019, at NMBU by Phillip Pope
- Statistical methods in relatedness and pedigree analysis, January 6-10 (tentative) 2020 at UiO.
- Clinical analysis of NGS data, March 16-20th at UiB by Kim Brügger
- High Performance Computing in Bioinformatic, March 23 – April 3 (date may change), 2020 at UiO by Torbjørn Rognes
- Prediction (in molecular biology), January/February 2020 (tba) at University of Oslo, by Manuela Zucknick.
- Population genomics, March 9-13 2020 at North University, Bodø by Joost Raeymaekers
- Genetic epidemiology and genome-wide association analyses, May 4-8 at UiB by Håkon Gjessing
- Sequence comparison and database search, spring 2020 at UiB by Inge Jonassen
- Genome sequencing technologies, assembly, variant calling and statistical genomics, October 19-30 with exam November 27th, at UiO by Torbjørn Rognes
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).