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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: publication

antimicrobial resistance

New preprint: looking at rifampicin-resistant subpopulations in clinical samples

Philip Fowler, 10th April 202510th April 2025

Since clinical samples are usually grown in a MGIT tube for a while before some…

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New preprint: automatically building a better bedaquiline catalogue

Philip Fowler, 31st January 202531st January 2025

A catalogue recording whether individual mutations confer resistance or not to specified antibiotics is a…

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New preprint: comparing different genetics analysis pipelines for tuberculosis

Philip Fowler, 13th January 202513th January 2025

Ruan Spies has done a careful systematic comparison of the current genetics pipelines that purport…

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antimicrobial resistance

New preprint: predicting rifampicin resistance

Philip Fowler, 16th August 202416th August 2024

In this preprint we train a series of machine learning models on protein mutations found…

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antimicrobial resistance

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

Philip Fowler, 14th August 202414th August 2024

This is the last paper from the initial set of CRyPTIC publications following the project’s…

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antimicrobial resistance

New paper: predicting pyrazinamide resistance

Philip Fowler, 20th March 202420th March 2024

This paper has finally been published and you can find it here. It had a…

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