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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

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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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antimicrobial resistance

New paper: Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning

Philip Fowler, 14th August 202414th August 2024

This is the last paper from the initial set of CRyPTIC publications following the project’s…

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