I am a Wellcome Trust PhD student in Mathematical Genomics and Medicine, jointly supervised between the MRC Biostatistics (Paul Kirk), Systems Biology (Kathryn Lilley) and the Computational Proteomics Unit (Laurent Gatto). I am interested in Fuctional Genomics and Proteomics; in particular spatial proteomics - the study of protein subcellular localisations. I am currently formalising mass-spectroscopy based spatial proteomics in the Bayesian setting to reveal insights into the uncertainty in protein localisation. I plan to extend this framework to model and infer proteins with multiple localisation as well as proteins which move dynamically under different cellular conditions. Finally, I plan to integrate multiple datasets that illucidate protein localisation including mass-spectroscropy data, protein-protein interaction, fluresence microscropy and the Gene Ontology.
Selected PapersLouise Dyson, Michael Marks, Oliver M. Crook, Oliver Sokana, Anthony W. Solomon, Alex Bishop, David C. W. Mabey, T. Deirdre Hollingsworth (2017)Targeted treatment of yaws with contact tracing: How much do we miss?
American Journal of Epidemiology :
Oliver M Crook, Claire M Mulvey, Paul D. W. Kirk, Kathryn S Lilley, Laurent Gatto (2018)A Bayesian Mixture Modelling Approach For Spatial Proteomics
PLOS Computational Biology :
Aikaterini Geladaki, Nina Kocevar Britovsek, Lisa M. Breckels, Tom S. Smith, Owen L. Vennard, Claire M. Mulvey, Oliver M. Crook, Laurent Gatto, Kathryn S. Lilley (2019)Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics
Nature Communication 10: 331
Oliver M. Crook, Laurent Gatto, Paul D.W. Kirk (2018)Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics
arXiv : In Review
Oliver M. Crook, Kathryn S. Lilley, Laurent Gatto, Paul D. W. Kirk (2019)Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics
Oliver M. Crook , Lisa M. Breckels, Kathryn S. Lilley, Paul D.W. Kirk, Laurent Gatto (2019)A Bioconductor worflow for the Bayesian analysis of spatial proteomics
Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis (2019)PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds
John J.H. Shin, Oliver M. Crook, Alicia Borgeaud, Jérôme Cattin-Ortolá, Sew-Yeu Peak-Chew, Jessica Chadwick, Kathryn S. Lilley, Sean Munro (2019)Determining the content of vesicles captured by golgin tethers using LOPIT-DC