Joaquin Dopazo's website

Joaquin Dopazo is the head of the Clinical Bioinformatics Area, Fundacion Progreso y Salud, Seville, Spain (since June 2017). He is also heading the Functional Genomics Node of the National Institute of Bioinformatics (INB) and the Bioinformatics group of the Center for Biomedical Research on Rare Diseases (CIBERER).


Clinical Bioinformatics Area,
Fundacion Progreso y Salud,
CDCA, Hospital Virgen del Rocio C/ Manuel Siurot s/n
41013 Seville, Spain


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). In 2005 Dr. Dopazo moved to the CIPF (Valencia) where he set up the Department of Computational Genomics. In 2017 he moved to the Clinical Bioinformatics Area (Fundacion Progreso y Salud), a fundamental pieze in the Personalized Medicine Plan of the Andalusian Community.

He has promoted genomic projects such as the FutureClinic to prepare the scenario for the introduction of the genome in the electronic health record orthe Medical Genome Project to sequence 1000 patients 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’s interests revolve around functional genomics, systems biology and development of algorithms and software for the analysis of multi-omic data and its application to precision medicine and systems medicine. Specifically, he is interested in developing statistical and machine learning methods for large-scale integrative analysis of heterogeneous, high-throughput genomic and clinical data to understand and discover disease mechanisms and drug action mechanisms.

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start.txt · Last modified: 2019/09/25 14:44 by jdopazo
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