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Computational Epigenomics and Cell Identity


How can one genome encode for so many different cell types and functions? All cells of a multicellular organism (like us humans) share the same genome, but there are as many epigenomes as cell types. In our group, our goal is to understand how the epigenomic encoding allows to derive so many cell identities from a single genome, and how new cell identities arise in cancer and immune-mediated diseases. For this, we integrate Big Bio-data, develop new computational biology approaches and interpretative models. We thrive working as part of bigger multidisciplinary teams, aiming for synergistic interactions with experimental biologists, physicists or clinicians that lead to ideas and discoveries that are not possible to achieve in isolation.
Main specialization
Área de investigación:
Disciplina ERC:
  • LS - LIFE SCIENCES
  • LS2 Genetics, Genomics, Bioinformatics and Systems Biology
Industrial Leadership:
  • 7. Other
  • 7.1. Other
Societal Challenges:
  • 1. Health, demographic change and wellbeing
  • 1.04. Understanding disease