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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Author: Philip Fowler

Philip W Fowler is a computational biophysicist studying antimicrobial resistance working at the John Radcliffe Hospital in Oxford.
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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computing

GROMACS2018 on NVIDIA DGX-1s

Philip Fowler, 27th September 201929th October 2019

HECBioSim advertised for proposals to use JADE, the new Tier-2 UK GPU high performance computer…

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antimicrobial resistance

New publication: Predicting resistance is (not) futile

Philip Fowler, 21st August 201921st August 2019

Our “First Reactions” article has been published in ACS Central Science. We discuss the paper,…

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