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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:
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