3/8/2016

Tutorial on DisGeNET platform at the European Conference on Computational Biology 2016

We are pleased to announce the tutorial "DisGeNET: a discovery platform to support translational research on human diseases" at the European Conference on Computational Biology 2016.  The tutorial will be held by Janet Piñero and Laura I. Furlong, postdoctoral researcher and head of the Integrative Biomedical Informatics group of GRIB (IMIM - UPF) respectively, on September the 4th, and is aimed at a variety of audiences: computational biologists, systems biology users, biologists, and healthcare practitioners. 

DisGeNET is a discovery platform integrating information on gene-disease associations from several public data sources and the literature. DisGeNET integrates expert-curated databases with text-mined data, and it is one of the largest available repositories of its kind. 

Click here for the online registration at the tutorial.   

The ECCB 2016 will take place on 3-7 September and is jointly organized by the Dutch Techcentre for Life Sciences, the BioSB research school and ELIXIR, in association with the Vrij Universiteit Amsterdam and the Delft University of Technology. The ECCB 2016 will take place in the historic city of The Hague in the Netherlands. It is the main computational event in 2016 and will welcome scientists working in a variety of disciplines, including bioinformatics, computational biology, biology, medicine, and systems biology. Participating in ECCB 2016 will be the perfect opportunity to keep pace with cutting edge research, and to network with members of ECCB community.

About the tutorial:
Resources that gather, and homogeneously annotate the available information on the genetic underpinnings of human diseases are of paramount importance in biomedical research. The DisGeNET discovery platform is one of the largest repositories available on human diseases, and their genes. In the tutorial that will be presented in the ECCB 2016 conference, we will illustrate how to use the different tools available in the DisGeNET platform to answer different types of questions such as: 

• What is the profile of diseases associated to a list of genes?
• What are the genes associated to a particular disease?
• What are the genes shared by two comorbid diseases?
• What proteins associated to a particular disease are also targets of drugs?