Computational Systems Biology

Our group is interested in different aspects of Bioinformatics, Computational Biology and Systems Biology. Our goal is to obtain new biological knowledge with an "in-silico" approach which complements the "in-vivo" and "in-vitro" methodologies of Biology. This mainly involves mining the massive amounts of information stored in biological databases. Besides our lines of scientific research, we also collaborate with experimental groups providing them with bioinformatics support for their specific needs, and participate in different teaching projects.

Main specialization

Área de investigación:

Biología y Biomedicina

Disciplina ERC:

LS - LIFE SCIENCES
LS2 Genetics, Genomics, Bioinformatics and Systems Biology

Industrial Leadership:

4. Biotechnology
4.1. Boosting cutting-edge biotechnologies as future innovation drivers

Societal Challenges:

1. Health, demographic change and wellbeing
1.07. Using in-silico medicine for improving disease management and prediction