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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: publication

clinical microbiology

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

Philip Fowler, 9th February 20269th February 2026

Zam Iqbal, at the University of Bath, led this epic study published today in Nature…

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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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Dylan’s bedaquline paper one of the most read in Microbial Genomics in September!

Philip Fowler, 20th October 202520th October 2025

Received a lovely email from Dr Peter Cotgreave who is the Chief Executive of the…

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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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