Research: Gkoutos’s expertise lies in molecular informatics and bioinformatics. He has developed a number of biomedical ontologies and his research focuses on the association of genotype to phenotype, translational research and the discovery of novel disease genes and drugs. He is a member of the Computational Biology Group which conducts research in areas including: date analysis of large scale biological data, formalisation of biological data, systems biology, biomedical informatics, genetics and pharmacogenomics. Gkoutos has recently contributed to works such as ‘Finding Our Way through Phenotypes (2015)’ and ‘An integrative, translational approach to understanding rare and orphan genetically based diseases’ (2013).
Publications: Mungall, C. J., Torniai, C., Gkoutos, G. V., Lewis, S. E. & Haendel, M. A. (2012), Uberon, an integrative multi-species anatomy ontology. Genome Biology, DOI: 10.1186/gb-2012-13-1-r5
Hoehndorf, R., Schofield, P. N. & Gkoutos, G. Vv (2011), PhenomeNET: a whole-phenome approach to disease gene discovery. Nucleic Acids Research, DOI: 10.1093/nar/gkr538
Mungall, C. J., Gkoutos, G. V., Smith, C. L., Haendel, M. A., Lewis, S. E. & Ashburner, M. (2010), Integrating phenotype ontologies across multiple species. Genome Biology, 10.1186/gb-2010-11-1-r2
Hoehndorf R, Hiebert T, Hardy NW, Schofield PN, Gkoutos GV, Dumontier M (2014), Mouse model phenotypes provide information about human drug targets. Bioinformatics, Mar 1;30(5):719-25. doi: 10.1093/bioinformatics/btt613