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Publications

An improved catalogue for whole-genome sequencing prediction of bedaquiline resistance inM. tuberculosisusing a reproducible algorithmic approach

Adlard D. et al, (2025)

Enhancement and validation of the antibiotic resistance prediction performance of a cloud-based genetics processing platform for Mycobacteria

Westhead J. et al, (2024)

Quantitative drug susceptibility testing for Mycobacterium tuberculosis using unassembled sequencing data and machine learning

(2024), PLOS Computational Biology, 20, e1012260 - e1012260

MmpR5 protein truncation and bedaquiline resistance in Mycobacterium tuberculosis isolates from South Africa: a genomic analysis.

Roberts LW. et al, (2024), The Lancet. Microbe, 5

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

Hunt M. et al, (2024)

Mobilisation and analyses of publicly available SARS-CoV-2 data for pandemic responses

Rahman N. et al, (2024), Microbial Genomics, 10

Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach

Barilar I. et al, (2024), Nature Communications, 15

A validated cloud-based genomic platform for co-ordinated, expedient global analysis of SARS-CoV-2 genomic epidemiology

Amoako D. et al, (2023)

Bedaquiline and clofazimine resistance in Mycobacterium tuberculosis: an in-vitro and in-silico data analysis

Sonnenkalb L. et al, (2023), The Lancet Microbe, 4, e358 - e368

Mobilisation and analyses of publicly available SARS-CoV-2 data for pandemic responses

Rahman N. et al, (2023)

Repeated evolution of bedaquiline resistance inMycobacterium tuberculosisis driven by truncation ofmmpR5

Roberts LW. et al, (2022)

Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing ofM. tuberculosis

(2022), European Respiratory Journal, 60, 2200239 - 2200239

High fluoroquinolone resistance proportions among multidrug-resistant tuberculosis driven by dominant L2 Mycobacterium tuberculosis clones in the Mumbai Metropolitan Region

Dreyer V. et al, (2022), Genome Medicine, 14

A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates

Fowler PW. et al, (2022), eLife, 11

The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis

Walker TM. et al, (2022), The Lancet Microbe, 3, e265 - e273

Genome-wide association studies of global Mycobacterium tuberculosis resistance to thirteen antimicrobials in 10,228 genomes

Earle SG. and Wilson DJ., (2021)

Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning

Lachapelle AS., (2021)

Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach

Carter JJ., (2021)

A data compendium of Mycobacterium tuberculosis antibiotic resistance

Brankin A. and Malone KM., (2021)

BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates

Fowler PW. et al, (2021)

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