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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: clinical microbiology

antimicrobial resistance

New publication: Differential occupational risks to healthcare workers from SARS-CoV- 2

Philip Fowler, 2nd July 202022nd August 2020

Very pleased and proud to be included on this manuscript, which has been published in…

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antimicrobial resistance

New publication: Reconciling the potentially irreconcilable? Genotypic and phenotypic amoxicillin-clavulanate resistance in Escherichia coli.

Philip Fowler, 30th March 202022nd August 2020

Clinical microbiology often assumes a sample is resistant or susceptible. Making such a classification relies…

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antimicrobial resistance

New publication: Phylogenetically informative mutations in genes implicated in antibiotic resistance in Mycobacterium tuberculosis complex

Philip Fowler, 9th March 202016th March 2020

Although the population structure M. tuberculosis is clonal, one must be careful when inferring the…

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antimicrobial resistance

AMyGDA now available from GitHub

Philip Fowler, 27th January 202027th January 2020

AMyGDA is a python module that analyses photographs of 96-well plates and, by examining each…

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antimicrobial resistance

New preprint: rapid prediction of AMR by free energy methods

Philip Fowler, 15th January 202015th January 2020

The story behind this preprint goes back to the workshop on free energy methods run…

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antimicrobial resistance

BashTheBug Coordinator post advertised

Philip Fowler, 15th November 2019

We are advertising for a Part-time Citizen Science Project Co-ordinator to come and work with…

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