Oliver M. Crook
Oliver M. Crook
Florence Nightingale Fellow, University of Oxford
Verified email at - Homepage
Cited by
Cited by
A Comprehensive Subcellular Atlas of the Toxoplasma Proteome via hyperLOPIT Provides Spatial Context for Protein Functions
K Barylyuk, L Koreny, H Ke, S Butterworth, OM Crook, I Lassadi, V Gupta, ...
Cell Host & Microbe 28 (5), 752-766. e9, 2020
Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics
A Geladaki, NK Britovšek, LM Breckels, TS Smith, OL Vennard, ...
Nature Communications 10 (1), 331, 2019
A Bayesian mixture modelling approach for spatial proteomics
OM Crook, CM Mulvey, PDW Kirk, KS Lilley, L Gatto
PLoS Computational Biology 14, e1006516, 2018
Spatial proteomics defines the content of trafficking vesicles captured by golgin tethers
JJH Shin, OM Crook, AC Borgeaud, J Cattin-Ortolá, SY Peak-Chew, ...
Nature Communications 11 (1), 1-13, 2020
Spatiotemporal proteomic profiling of the pro-inflammatory response to lipopolysaccharide in the THP-1 human leukaemia cell line
CM Mulvey, LM Breckels, OM Crook, DJ Sanders, ALR Ribeiro, ...
Nature Communications 12 (1), 5773, 2021
A Bioconductor workflow for the Bayesian analysis of spatial proteomics
OM Crook, LM Breckels, KS Lilley, PDW Kirk, L Gatto
F1000Research 8 (446), 2019
Cryptosporidium uses multiple distinct secretory organelles to interact with and modify its host cell
BS Amandine Guérin , Katherine Strelau, Konstantin Barylyuk, Bethan A ...
Cell Host and Microbe, 2023
Moving Profiling Spatial Proteomics Beyond Discrete Classification
OM Crook, T Smith, M Elzek, KS Lilley
PROTEOMICS, 1900392, 2020
Targeted treatment of yaws with household contact tracing: How much do we miss?
L Dyson, M Marks, OM Crook, O Sokana, AW Solomon, A Bishop, ...
American journal of epidemiology 187 (4), 837-844, 2018
A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection
O Crook, A Geladaki, DJH Nightingale, O Vennard, KS Lilley, L Gatto, ...
PLoS Computational Biology 16 (11), e1008288, 2020
Inferring differential subcellular localisation in comparative spatial proteomics using BANDLE
O Crook, CTR Davies, L Gatto, PDW Kirk, KS Lilley
Nature Communications, 2022
A Bayesian semi-parametric model for thermal proteome profiling
S Fang, PDW Kirk, M Bantscheff, KS Lilley, OM Crook
Communications Biology 4 (1), 1-15, 2021
System-wide analysis of RNA and protein subcellular localization dynamics
E Villanueva, T Smith, M Pizzinga, M Elzek, RML Queiroz, RF Harvey, ...
Nature Methods, 2023
Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics
OM Crook, KS Lilley, L Gatto, PDW Kirk
Annals of Applied Statistics, 2022
Challenges and Opportunities for Bayesian Statistics in Proteomics
OM Crook, C Chung, CM Deane
Journal of Proteome Research 21 (4), 849-864, 2022
Multiple-instance-learning-based detection of coeliac disease in histological whole-slide images
J Denholm, BA Schreiber, SC Evans, OM Crook, A Sharma, JL Watson, ...
Journal of Pathology Informatics 13, 100151, 2022
Analysis of the first Genetic Engineering Attribution Challenge
OM Crook, KL Warmbrod, G Lipstein, C Chung, CW Bakerlee, ...
Nature Communications, 2022
Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics
OM Crook, L Gatto, PDW Kirk
Statistical Applications in Genetics and Molecular Biology, 2019
Improving lab-of-origin prediction of genetically engineered plasmids via deep metric learning
IM Soares, FHF Camargo, A Marques, OM Crook
Nature Computational Science, 2022
Comprehensive overview of bottom-up proteomics using mass spectrometry
Y Jiang, DAB Rex, D Schuster, BA Neely, GL Rosano, N Volkmar, ...
ACS Measurement Science Au, 2024
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