An ambitious EC-funded research initiative on epigenetics advancing towards systems biology

The main interest of our Group lies in the mechanistic understanding of cancer progression by combining molecular and evolutionary approaches. Our research focuses on the problem of functional specificity and selective molecular interactions in the context of cancer genome research. The strategic goals of the Structural Computational Biology Group are: i) to analyse the function, structure and specific interactions of proteins related to cancer; ii) to develop novel methods and software platforms for the extraction, integration and representation of cancer genomic data, including the statistical analysis of molecular, genomic, epigenomic and phenotypic information in collaboration with cancer genome projects; and iii), to design the next generation of computational methods for the interpretation of personalised cancer genome information.

Lab members working in projects related in Epigenomics and/or Systems Biology:

Epigenomics, Genome Evolution and Networks

• Federico Abascal
• Simone Ecker
• David de Juan
• Vera Pancaldi
• Daniel Rico - Coordinator of Blueprint Data Analysis

ICGC and Blueprint Data Managing

• Miriam Rubio
• José M. Fernández

Alternative Splicing and Trans-splicing

• Milana Morgenstern
• José M. Rodríguez
• Michael Tress