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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: 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

Updating the Grammar for Antimicrobial Resistance Catalogues

Philip Fowler, 18th July 202418th July 2024

This blog updates an old (and now out of date) post describing the grammar we’ve…

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antimicrobial resistance

FowlerLab at ESM 2024

Philip Fowler, 1st July 20241st July 2024

Three of us (Dylan Adlard, Dylan Dissanayake and Philip Fowler) attended the 44th Congress of…

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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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antimicrobial resistance

New paper: detecting compensatory mutations in the RNAP of M. tuberculosis

Philip Fowler, 5th February 20245th February 2024

In this paper, by examining testing the association between mutations known to be associate with…

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antimicrobial resistance

New paper: quantitative measurement of effect of mutations on antibiotics in M. tuberculosis

Philip Fowler, 15th January 202415th January 2024

The CRyPTIC project played a major role in the release by the WHO of their…

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