Most students within the NORBIS network will during their career work with large and complex data sets, which may result from biological measurements, computational simulation and/or analytical modelling. Being able to translate complicated research into information that can be interpreted, and even understood by a wide range of audiences, is an important skill that will…Continue reading NORBIS summer school 2017: ‘Communicating research by visualisation, illustration and storytelling’

Bioinformatics for functional metagenomics NMBU, Ås More information and registration here. Microbial communities are renowned for the influences they exert in nature as well as industrial applications. They encompass an extraordinary level of species complexity that is invaluable to the overall function of the community. However, our understanding is severely restricted due to the inherent…Continue reading Course: Bioinformatics for functional metagenomics

In order to have enough power, genetic studies need to be carried out at very large scales and usually require sample sizes larger than 10,000s. This poses biostatistic- and bioinformatic challenges at different levels. 'Large genetic studies in biobanks: from registries screening, to interpretation of GWAS and beyond' will cover challenges facing the use of…Continue reading Course: Large genetic studies in biobanks: from registries screening, to interpretation of GWAS and beyond

This course will provide an introduction to the computational analysis and reconstruction of both small and genome-scale metabolic networks. Read more here.

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This course introduces statistical methods in genetic relatedness and pedigree analysis, with applications in linkage analysis, relatedness inference and forensic genetics. More here

This course provides insight into methods for aligning biological sequences. Its goal is to present an overview of the basic concepts of sequence alignments and some of their applications with a strong emphasis on homology based multiple sequence alignment modelling, one of the most widely used method in biology. More here

UiO course on High Performance Computing in Bioinformatics (INF9380)

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In this course the students will learn statistical and machine learning methods that are widely used in medical bioinformatics today. The course is organised by MedBioInfo, the Swedish national graduate school in Medical Bioinformatics. We have a limited number of seats available for NORBIS members, who may attend free of charge and will have their travel…Continue reading Course: Machine Learning in Medical Bioinformatics