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Search results (42)

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Evaluation of an Oxford Nanopore sequencing workflow for mycobacteria from primary MGIT culture

Baker CS. et al, (2026)

Characterizing the performance of an antibiotic resistance prediction tool, gnomonicus, using a diverse test set of 2,663 Mycobacterium tuberculosis samples

Westhead J. et al, (2025), Microbial Genomics, 11

Evaluating 12 automated, whole-genome sequencing analysis pipelines for Mycobacterium tuberculosis complex: a comparative study

Spies R. et al, (2025), The Lancet Microbe, 6, 101210 - 101210

Rapidly and reproducibly building a comprehensive catalogue of resistance-associated variants for M. tuberculosis

Adlard D. et al, (2025)

A software tool and strategy for peptidoglycomics, the high-resolution analysis of bacterial peptidoglycans via LC-MS/MS

Alamán-Zárate MG. et al, (2025), Communications Chemistry, 8

The Causal Testing Framework

Foster M. et al, (2025), Journal of Open Source Software, 10, 7739 - 7739

Characterising the performance of an antibiotic resistance prediction tool, gnomonicus, using a diverse testset of 2,663 Mycobacterium tuberculosis samples

Westhead J. et al, (2024)

Testing Causality in Scientific Modelling Software

Clark AG. et al, (2024), ACM Transactions on Software Engineering and Methodology, 33, 1 - 42

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

Amoako D. et al, (2023)

A moonlighting role for LysM peptidoglycan binding domains underpins Enterococcus faecalis daughter cell separation

Salamaga B. et al, (2023), Communications Biology, 6

Correction to: ‘Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations’ (2022) by Dykes et al.

Dykes J. et al, (2022), Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380

FAIR data pipeline: provenance-driven data management for traceable scientific workflows

Mitchell SN. et al, (2022), Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

Dykes J. et al, (2022), Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380

Testing Causality in Scientific Modelling Software

Clark AG. et al, (2022)

Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations

Dykes J. et al, (2022)

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