An efficient record linkage scheme using graphical analysis for identifier error detection. - John Michael Finney; A. Sarah Walker; Tim E. A. Peto; David H. Wyllie (BMC Medical Informatics Decis. Mak., 2011)

Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in Clostridium difficile Transmission. - David W. Eyre; Madeleine L. Cule; David Griffiths; Derrick W. Crook; Tim E. A. Peto; A. Sarah Walker; Daniel J. Wilson 001 (PLoS Comput. Biol., 2013)

Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis. - Katherine E. Niehaus; Timothy M. Walker; Derrick W. Crook; Tim E. A. Peto; David A. Clifton (BHI, 2014)

BugMat and FindNeighbour: command line and server applications for investigating bacterial relatedness. - Oriol Mazariegos-Canellas; Trien Do; Tim E. A. Peto; David W. Eyre; Anthony Underwood; Derrick W. Crook; David H. Wyllie (BMC Bioinform., 2017)

An Open-Source Azure Solution for Scalable Genomics Workflows. - Fan Yang-Turner; Lawrence Gripper; Jeremy Swann; Trien Do; Dona Foster; Denis Volk; Anita Ramanan; Marcus Robinson; Tim E. A. Peto; Derrick W. Crook (SERVICES, 2018)

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data. - Yang Yang 125; Katherine E. Niehaus; Timothy M. Walker; Zamin Iqbal; A. Sarah Walker; Daniel J. Wilson 001; Tim E. A. Peto; Derrick W. Crook; E. Grace Smith; Tingting Zhu 001; David A. Clifton (Bioinform., 2018)

Scalable Pathogen Pipeline Platform (SP3): Enabling Unified Genomic Data Analysis with Elastic Cloud Computing. - Fan Yang-Turner; Denis Volk; Philip Fowler; Jeremy Swann; Matthew Bull; Sarah Hoosdally; Thomas Connor; Tim E. A. Peto; Derrick W. Crook (CLOUD, 2019)

Application of machine learning techniques to tuberculosis drug resistance analysis. - Samaneh Kouchaki; Yang Yang 125; Timothy M. Walker; A. Sarah Walker; Daniel J. Wilson 001; Timothy E. A Peto; Derrick W. Crook; CRyPTIC Consortium; David A. Clifton (Bioinform., 2019)

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis. - Yang Yang 125; Timothy M. Walker; A. Sarah Walker; Daniel J. Wilson 001; Timothy E. A Peto; Derrick W. Crook; Farah Shamout; CRyPTIC Consortium; Tingting Zhu 001; David A. Clifton (Bioinform., 2019)

ViewBovine: A Microservices-Powered Web Application to Support Interactive Investigation of Bovine Tuberculosis Infection Pathways. - Fan Yang-Turner; Denis Volk; Tim E. A. Peto; Tony Roberts; Juan Herreros; Richard Ellis (SERVICES, 2020)

An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction. - Yang Yang 125; Timothy M. Walker; Samaneh Kouchaki; Chenyang Wang; Timothy E. A Peto; Derrick W. Crook; David A. Clifton (Briefings Bioinform., 2021)