Barcelona Biomedical Genomics Lab
Our research is focused on the study of cancer from a genomics perspective. We are particularly interested in the identification of cancer driver mutations, genes and pathways across tumour types and in the study of their potential as therapeutic targets.
Rubio-Perez, C., Tamborero, D., Schroeder, MP., Antolín, AA., Deu-Pons,J., Perez-Llamas, C., Mestres, J., Gonzalez-Perez, A., Lopez-Bigas, N. In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals novel targeting opportunities. Cancer Cell 27 (2015), pp. 382-396
Gonzalez-Perez A, Perez-Llamas C, Deu-Pons J, Tamborero D, Schroeder MP, Jene-Sanz A, Santos A & Lopez-Bigas N IntOGen-mutations identifies cancer Nature Methods 2013; doi:10.1038/nmeth.2642
Tools and DataIntOGen mutations uses several data sources and tools.
Tumor mutation data
Most tumour somatic mutations data (although not all) comes from: ICGC: The International Cancer Genome Consortium, TCGA: The Cancer Genome Atlas and independent projects. See in each project details for its source
Driver identification methods
OncodriveFM: Identifies genes with a bias towards high functional mutations, OncodriveCLUST: Identifies genes with a significant regional clustering of mutations MutSigCV: Identifies genes mutated more frequently than background mutation rate OncodriveROLE: Classifies driver genes according to its mode of action in Activation or Loss of Function
Ensembl VEP from Ensembl 70 has been used for all gene & transcript mapping as well as the official gene and transcript names. PFAM 27 domains have been downloaded from their ftp server and the obtained regions have been mapped using PRA-Tool.