James completed a PhD at the MRC Mitochondrial Biology Unit in Cambridge. He worked on a metabolic model of Plasmodium falciparum in the blood stage of the parasite, and on the further development of the MitoMiner proteomics data warehouse. He joined the Cardiovascular Epidemiology Unit in July 2015.
I am interested in the application of bioinformatics approaches to GWAS studies. I work on PhenoScanner (www.phenoscanner.medschl.cam.ac.uk), a database that brings together trait based GWAS, eQTL, and metabolic data from over 75 studies and provides novel ways to query and explore these data. Alongside this, I working on integrating ontology annotations, proteomics, and epigenetic data sets into the identification of traits of interest in GWAS studies. I also provide bioinformatics tools and training to researchers within the Unit.
PhenoScanner: a database of human genotype–phenotype associations. James R. Staley, James Blackshaw, Mihir A. Kamat, Steve Ellis, Praveen Surendran, Benjamin B. Sun, Dirk S. Paul, Daniel Freitag, Stephen Burgess, John Danesh, Robin Young, Adam S. Butterworth. Bioinformatics. 2016 Oct 15; 32(20): 3207–3209. Published online 2016 Jun 17. doi: 10.1093/bioinformatics/btw373
Smith AC, Blackshaw JA, Robinson AJ. MitoMiner: a data warehouse for mitochondrial proteomics data. Nucleic Acids Research 2012 Jan; 40(Database issue): D1160–D1167. doi: 10.1093/nar/gkr1101.