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Publications

Antibody Status and Incidence of SARS-CoV-2 Infection in Health Care Workers

Lumley SF. et al, (2021), New England Journal of Medicine, 384, 533 - 540

The duration, dynamics and determinants of SARS-CoV-2 antibody responses in individual healthcare workers

Lumley SF. et al, (2021), Clinical Infectious Diseases

Phylogenetically informative mutations in genes implicated in antibiotic resistance in Mycobacterium tuberculosis complex

Merker M. et al, (2020), Genome Medicine, 12

Case Report: Disseminated, rifampicin resistant Mycobacterium bovis (BCG) infection in an immunocompromised child

Drysdale SB. et al, (2020), Wellcome Open Research, 5, 242 - 242

Differential occupational risks to healthcare workers from SARS-CoV-2 observed during a prospective observational study

Eyre DW. et al, (2020), eLife, 9

GenomegaMap: Within-Species Genome-Wide dN/dS Estimation from over 10,000 Genomes

Wilson DJ. et al, (2020), Molecular Biology and Evolution, 37, 2450 - 2460

Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation Ranking

Kouchaki S. et al, (2020), Frontiers in Microbiology, 11

Sources of Multidrug Resistance in Patients With Previous Isoniazid-Resistant Tuberculosis Identified Using Whole Genome Sequencing: A Longitudinal Cohort Study

Vijay S. et al, (2020), Clinical Infectious Diseases

Elucidation of drug resistance mutations in Mycobacterium tuberculosis isolates from North India by whole-genome sequencing.

Sethi S. et al, (2020), Journal of global antimicrobial resistance, 20, 11 - 15

Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe

Hunt M. et al, (2019), Wellcome Open Research, 4, 191 - 191

Towards standardisation: comparison of five whole genome sequencing (WGS) analysis pipelines for detection of epidemiologically linked tuberculosis cases.

Jajou R. et al, (2019), Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 24

Building the Framework for Standardized Clinical Laboratory Reporting of Next-generation Sequencing Data for Resistance-associated Mutations in Mycobacterium tuberculosis Complex.

Tornheim JA. et al, (2019), Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 69, 1631 - 1633

Cross-sectional study of the prevalence, causes and management of hospital-onset diarrhoea

Mawer D. et al, (2019), Journal of Hospital Infection, 103, 200 - 209

Individualising therapy for drug-sensitive tuberculosis.

Esmail H. et al, (2019), The Lancet. Respiratory medicine, 7, 834 - 835

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis

Yang Y. et al, (2019), Bioinformatics, 35, 3240 - 3249

Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues.

Meehan CJ. et al, (2019), Nature reviews. Microbiology, 17, 533 - 545

Application of machine learning techniques to tuberculosis drug resistance analysis

Kouchaki S. et al, (2019), Bioinformatics, 35, 2276 - 2282

Improved Performance Predicting Clarithromycin Resistance in Mycobacterium abscessus on an Independent Data Set

Lipworth S. et al, (2019), Antimicrobial Agents and Chemotherapy, 63

Corrigendum: Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis.

Fowler PW. et al, (2019), Microbiology (Reading, England), 165

SNP-IT Tool for Identifying Subspecies and Associated Lineages of Mycobacterium tuberculosis Complex.

Lipworth S. et al, (2019), Emerging infectious diseases, 25, 482 - 488

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