Cancer Genomics and Computational Biology
Speaker: Alfonso Valencia
Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid
Host: Javier De Las Rivas
Salón de ActosCancer Genomics and Computational Biology
The fast progression of genomics is making of the use of personal genomic information a pressing reality. In this scenario Bioinformatics and Computational Biology play a central rôle. The organization and analysis of individual genomes is a complex task that requires a blend of engineering and scientific developments and touches many areas in which the development of computational methods is far from complete.
In the context of various cancer genome related projects my group is developing both the technical framework for the interpretation of the result and the methods required for the interpretation of the scientific interpretation of the results. Based on our experience in these projects, I will review the key problems in the analysis of high--‐throughput genomic and epigenomic information, prediction of the incidence of mutations, alteration in splicing patterns, and comparative analysis of affected pathways with special emphasis in the application of co--‐evolution related methods.
--‐ Valencia A & Hidalgo M (2012) Getting personalized cancer genome analysis into the clinic: the challenges in Bioinformatics. Genome Medicine, 461
--‐ Miguel Vazquez M, de la Torre V , Valencia A (2012) Chapter 14: Cancer Genome Analysis, in Translational Bioinformatics PLOS Computational Biology open access book.
--‐ Frenkel--‐Morgenstern M, Lacroix V, Ezkurdia I, Levin Y, Gabashvili A, Prilusky J, Del Pozo A, Tress M, Johnson R, Guigo R, Valencia A (2012) Chimeras taking shape: potential functions of proteins encoded by chimeric RNA transcripts. Genome Res. 22:1231--‐1242.
--‐ de Juan D, Pazos F, Valencia A. (2013) Emerging methods in protein co--‐evolution. Nat Rev Genet. 14:249--‐61.