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Predicting antimicrobial resistance

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Fowler Lab
Fowler Lab

Predicting antimicrobial resistance

Category: antimicrobial resistance

antimicrobial resistance

New paper: Validation of an optimized Oxford Nanopore sequencing workflow versus Illumina for mycobacteria from primary MGIT culture

Philip Fowler, 24th August 202624th August 2026

Most genetic sequencing of Mycobacteria, including Mycobacterium tuberculosis, has for historical reasons used short-read technology,…

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antimicrobial resistance

New preprint: using genetics to analyse ESBL infections in a neonatal ICU ward

Philip Fowler, 7th July 20267th July 2026

In this preprint, Melody Parker as part of her DPhil, has analysed a series of…

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antimicrobial resistance

Oxford Public & Community Engagement Conference

Philip Fowler, 12th June 202623rd June 2026

As part of the “Enriching Engagement – funding, culture and institutional legacy” session at the…

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antimicrobial resistance

NIHR PPI In Action Webinar on BashTheBug

Philip Fowler, 1st June 20261st June 2026

As part of the NIHR’s “PPI In Action” series, Philip Fowler gave a webinar on…

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Gr-ADI consortium announced

Philip Fowler, 22nd January 2026

Pleased and excited to be a small part of the Gram-Negative Antibiotic Discovery Innovator (Gr-ADI)…

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antimicrobial resistance

New paper: how well can we predict AMR in tuberculosis samples?

Philip Fowler, 16th December 202516th December 2025

This paper just published in Microbial Genomics examines how well our software tool, gnomonicus, predicts…

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