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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

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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tuberculosis

Numpy v Biopython

Philip Fowler, 25th July 20194th August 2019

Having only recently having to write bioinformatics Python code that e.g. interrogate GenBank files to…

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