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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

SARS-CoV-2 pipeline live on EIT Pathogena

Philip Fowler, 28th January 202528th January 2025

Back in the SARS-CoV-2 pandemic we worked closely with ORACLE Corp to build and deploy…

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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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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 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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