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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: antimicrobial resistance

antimicrobial resistance

New paper: how well can we predict AMR in tuberculosis samples?

Philip Fowler, 16th December 202516th December 2025

This paper just published in Microbial Genomics examines how well our software tool, gnomonicus, predicts…

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antimicrobial resistance

New preprint: Predicting pyrazinamide resistance in M. tuberculosis using a graph convolutional network

Philip Fowler, 29th October 202530th October 2025

In previous work we’ve used “traditional” machine-learning approaches, like XGBoost, to learn and therefore predict…

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New paper: Evaluating 12 WGS analysis pipelines for MBTC

Philip Fowler, 21st October 202529th October 2025

Ruan Spies did a careful systematic analysis of the publicly-available pipelines that claimed to process…

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antimicrobial resistance

New paper: What can subpopulations tell us about rifampicin resistance?

Philip Fowler, 14th October 202514th October 2025

Last Thursday this work which we’d previously preprinted looking at looking at rifampicin-resistant subpopulations in…

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antimicrobial resistance

New preprint: rapidly and reproducibly building resistant catalogues for M. tuberculosis

Philip Fowler, 3rd October 202530th October 2025

The CRyPTIC project carried out many exciting research projects but it never quite got around…

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antimicrobial resistance

New paper: predicting rifampicin resistance via free energy simulation

Philip Fowler, 23rd September 20253rd October 2025

This work was carried out by Xibei Zhang, who is doing her PhD with Peter…

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