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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: computing

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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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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antimicrobial resistance

BioExcel Alchemical Free Energy workshop

Philip Fowler, 17th June 2019

Last month I was invited to give a talk on using alchemical free energy methods…

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computing

Compression FASTA files natively in Python

Philip Fowler, 23rd May 201926th May 2019

The M. tuberculosis genome is pretty small, only 4.4 million nucleotides, so storing all that…

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computing

Software Carpentry Workshop

Philip Fowler, 10th September 201810th September 2018

Last week on Thursday and Friday I helped run a Software Carpentry workshop in the…

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