Joaquín Dopazo obtained his PhD in Biology at the University of Valencia in 1989. After several appointments in different research centers he worked for 5 years in Glaxo Wellcome (now Glaxo SmithKline) during the late nineties. There he was developing methods for bacterial genomic analysis and he participated in several bacterial and fungal genome projects. In 2000 he moved to the Spanish National Cancer Center (CNIO), where he set up the Bioinformatics group. In the CNIO he designed the first Spanish microarray (the Oncochip) in 2000 and he developed the most used resource for microarray data analysis on the web (GEPAS), now discontinued and included in the Babelomics, one of the most used resources for genomic data analysis and interpretation (cited more than 1500 times). The scope of the algorithms and software developed has evolved currently to the field of massive sequence data analysis.
In 2005 Dr. Dopazo moved to the CIPF (Valencia) where he set up the Department of Computational Genomics (formerly Bioinformatics). There he promoted two genomic projects: the FutureClinic to prepare the scenario for the introduction of the genome in the electronic health record and the Medical Genome Project to sequence 1000 patients (800 sequenced to date) of inherited diseases to search for new biomarkers and disease genes. He was also involved in international projects such as the MAQC and SEQC (best practices in the use of microarrays and NGS, respectively, for finding diagnostic biomarkers) or the START consortium to characterize the variability of the rat genome. He has been also promoter of the CitrusGen project to sequence more than 500 citric genomes for genetic improvement purposes.
Dr. Dopazo also coordinates the HPC4Genomics consortium, a joint initiative of the CIPF, several universities and companies that aim to combine genomic, bioinformatic and computing skills to address the new challenges posed by the technological advancement in genomics. Dr. Dopazo’s interests revolve around functional genomics, systems biology and development of algorithms and software for the analysis of high-throughput data (mainly, but not restricted to, Next Generation Sequencing) and its application to personalized medicine, agrogenomics and nutrigenomics.
"Las opiniones expresadas por los ponentes no reflejan, necesariamente, las de la Fundación Ramón Areces ni de las instituciones en las que trabajan"