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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: computing

clinical microbiology

New preprint: processing SARS-CoV-2 genetics in the cloud

Philip Fowler, 31st January 202431st January 2024

In this preprint, we describe how in July 2022 for two weeks seven sites in…

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New publication: Predicting antibiotic resistance in complex protein targets using alchemical free energy methods

Philip Fowler, 26th August 202224th October 2022

In this paper, Alice Brankin calculates how different mutations in the DNA gyrase affect the…

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New publication: fast human read decontamination for SARS-CoV-2

Philip Fowler, 16th May 202216th May 2022

ReadItAndKeep is a new human-read decontamination algorithm that works by mapping the reads in a…

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GPAS stopover on the ORACLE road trip

Philip Fowler, 1st February 20221st February 2022

You can listen to Philip Fowler talk about the Global Pathogen Analysis System (GPAS) as…

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antimicrobial resistance

New preprint: Predicting antibiotic resistance in complex protein targets

Philip Fowler, 4th January 20224th January 2022

In this preprint, which Alice has been working on for several years, we show how…

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antimicrobial resistance

Postdoctoral position advertised

Philip Fowler, 17th May 202117th May 2021

Through the CompBioMed2 EU Centre of Excellence project I have funding to appoint a postdoctoral…

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