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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

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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antimicrobial resistance

New paper: quantitative measurement of effect of mutations on antibiotics in M. tuberculosis

Philip Fowler, 15th January 202415th January 2024

The CRyPTIC project played a major role in the release by the WHO of their…

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clinical microbiology

Our World in Data

Philip Fowler, 10th January 202410th January 2024

I didn’t know that Our World in Data was also based at the University of…

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antimicrobial resistance

New preprint: Infection Inspection

Philip Fowler, 12th December 202312th December 2023

Some great work by Conor Feehily, Nicole Stoesser and others, including collaborators from the Department…

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New publication: detecting minor populations important for predicting fluoroquinolone resistance

Philip Fowler, 5th April 20238th December 2023

When predicting if an infection is resistant or susceptible to a specific antibiotic, it is…

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New publication: determining novel mechanisms of bedaquiline resistance

Philip Fowler, 30th March 20235th April 2023

A new paper with Lindsay Sonnenkalb as first-author has just been published in The Lancet…

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