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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: 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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antimicrobial resistance

New preprint: Predicting pyrazinamide resistance by machine learning

Philip Fowler, 29th April 201929th April 2019

Usually, the protein that an antibiotic binds is essential for bacterial survival, which is how…

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antimicrobial resistance

GARC: A Grammar for Antimicrobial Resistance Catalogues

Philip Fowler, 25th November 201817th November 2020

During the CRyPTIC project it has become obvious that we need a grammar to describe…

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