Eduardo Eyras

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  Eduardo Eyras
  ICREA research Professor and head of the Computational RNA Biology group of GRIB
  Extension: 1502
  eduardo.eyras(ELIMINAR)@upf.edu

Eduardo Eyras was appointed ICREA Research Professor at the Pompeu Fabra University of Barcelona (Spain) in 2005.He has a PhD in Physics, has worked in the Centre for Mathematical Sciences at the University of Cambridge (1999-2001) and in the Wellcome Trust Sanger Institute at Hinxton, UK. He has published 15 articles in the area of Mathematical Physics and more than 40 articles in Computational Biology. Currently he leads the Computational RNA Biology group of the IMIM-UPF joint Research Programme on Biomedical Informatics (GRIB).

Eduardo Eyras group participates in the Spanish network project RNAREG, in which high-throughput technologies are applied to discover alterations in post-transcriptional regulation in cancer; and in the European network project RNPnet , where the relation between transcription and splicing is studied. During the period 2008-2011, Eyras was awarded a Young Investigator Grant of the EURASNET network on Alternative Splicing. Since 2007, he has been organizer of the Alternative Splicing – Special Interest Group meeting, for the conference Intelligent Systems for Molecular Biology (ISMB). He is also an associate member of the European network of Epigenetics and Systems Biology and associate editor of BMC Genomics. He has been visiting professor at the University of Toronto (Canada).

Research interests

The Computational RNA Biology group focuses on the development of predictive models for the study of RNA biology, with emphasis on the study of splicing and cancer. In this context, we are interested in the role of chromatin in regulating gene expression and splicing, and the relevance of these mechanisms in cancer. Additionally, we are also interested in the relation between non-coding RNAs and chromatin, in the context of splicing and cancer. In particular, we have developed Machine Learning methods to study the role of secondary structure in the post-transcriptional regulation of RNA (Plass et al. 2012), for the study of splicing signals in human, improving previous methods (Corvelo et al. 2010) and to study the role of epigenetics in regulation of transcription (Althammer et al. 2012). The group has also expertise in scientific software development (Althammer et al. 2011), and in the analysis of RNA CLIP-Seq (Macias et al. 2012), RIP-Seq (Ortiz-Zapater et al. 2011), ChIP-Seq (Erb et al. 2012) and RNA-Seq data (Shen et al. 2011).