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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.

Updated preprint: A validated cloud-based genomic platform for co-ordinated, expedient global analysis of SARS-CoV-2 genomic epidemiology

Philip Fowler, 23rd January 202528th January 2025

In August 2022 seven laboratories across the world uploaded their SARS-CoV-2 genetics files for processing…

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group

Dylan Adlard is an SSI Fellow!

Philip Fowler, 15th January 202515th January 2025

Congratulations to Dylan Adlard for being appointed a Fellow with the Software Sustainability Institute for…

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New preprint: comparing different genetics analysis pipelines for tuberculosis

Philip Fowler, 13th January 202513th January 2025

Ruan Spies has done a careful systematic comparison of the current genetics pipelines that purport…

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New preprint: validating antibiotic resistance prediction in our Myco pipeline

Philip Fowler, 9th November 202413th January 2025

Over the last 18 months or so we’ve been designing, coding and testing a Mycobacterial…

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antimicrobial resistance

New paper: Infection Inspection

Philip Fowler, 10th September 202410th September 2024

This paper is the cumulation of a lot of hard work by an interdisciplinary team…

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antimicrobial resistance

New preprint: predicting rifampicin resistance

Philip Fowler, 16th August 202416th August 2024

In this preprint we train a series of machine learning models on protein mutations found…

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