Tim E. A. Peto

Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in Clostridium difficile Transmission

David Griffiths, A. Sarah Walker, Daniel J. Wilson, 2013, PLoS Comput. Biol..

Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis

David A. Clifton, Katherine E. Niehaus, Derrick W. Crook, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

An efficient record linkage scheme using graphical analysis for identifier error detection

A. Sarah Walker, Tim E. A. Peto, John M. Finney, 2011, BMC Medical Informatics Decis. Mak..

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data

David A. Clifton, Yang Yang, Zamin Iqbal, 2017, Bioinform..

Same-day diagnostic and surveillance data for tuberculosis via whole genome sequencing of direct respiratory samples

Phelim Bradley, Zamin Iqbal, Matthew Loose, 2016 .

Transforming clinical microbiology with bacterial genome sequencing

Daniel J. Wilson, Xavier Didelot, Derrick W. Crook, 2012, Nature Reviews Genetics.

Genomic diversity affects the accuracy of bacterial SNP calling pipelines

Liam P. Shaw, A. Sarah Walker, Nicole Stoesser, 2019, bioRxiv.

Characterisation of Clostridium difficile Hospital Ward–Based Transmission Using Extensive Epidemiological Data and Molecular Typing

A. Sarah Walker, David W. Eyre, Derrick W. Crook, 2012, PLoS medicine.

WGS to predict antibiotic MICs for Neisseria gonorrhoeae

Yonatan H. Grad, John Paul, David W. Eyre, 2017, The Journal of antimicrobial chemotherapy.

Same-Day Diagnostic and Surveillance Data for Tuberculosis via Whole-Genome Sequencing of Direct Respiratory Samples

Phelim Bradley, Zamin Iqbal, Matthew Loose, 2016, Journal of Clinical Microbiology.