This tutorial aims to introduce the Resource Description Framework (RDF) and its query language SPARQL and to explain how you can use the data from nine independent SIB resources (GlyConnect, UniProt, Rhea, OrthoDB, OMA, Bgee, HAMAP, MetaNetX and NeXtProt) to answer interesting biological questions.

Within the Swiss Personalized Health Network (SPHN) and related national initiatives researchers use patient data (i.e., confidential human data) in their research projects. Dealing with confidential human data requires awareness of data privacy, respective laws and information security. This course explains what should be done in practice to protect the patients’ privacy when performing biomedical research on human data.

For researchers and users of the SPHN/BioMedIT infrastructure this course is highly recommended. The respective exam is mandatory to use the BioMedIT infrastructure.

This tutorial aims to present the UNIX environment and to provide the most basic commands to users with no or very little UNIX knowledge. The examples are taken from various Biological fields but have been chosen carefully to be easily accessible to a wide audience.

The goal of this course is to expose the participants to 3-dimensional structures of proteins. Analysis and visualization software (DeepView) will be used to display, analyze, compare and interpret protein structures. The second part of the course is dedicated to protein structure prediction using the Swiss-Model expert system for homology modeling.

How to learn R basics