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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: tuberculosis

antimicrobial resistance

Postdoctoral position advertised

Philip Fowler, 17th May 202117th May 2021

Through the CompBioMed2 EU Centre of Excellence project I have funding to appoint a postdoctoral…

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antimicrobial resistance

New print: Epidemiological cutoff values for a 96-well broth microdilution plate for M. tuberculosis

Philip Fowler, 5th March 202122nd March 2021

In this preprint, the CRyPTIC project proposes the maximum value of minimum inhibitory concentration (MIC)…

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antimicrobial resistance

New publication: Phylogenetically informative mutations in genes implicated in antibiotic resistance in Mycobacterium tuberculosis complex

Philip Fowler, 9th March 202016th March 2020

Although the population structure M. tuberculosis is clonal, one must be careful when inferring the…

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antimicrobial resistance

AMyGDA now available from GitHub

Philip Fowler, 27th January 202027th January 2020

AMyGDA is a python module that analyses photographs of 96-well plates and, by examining each…

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tuberculosis

Numpy v Biopython

Philip Fowler, 25th July 20194th August 2019

Having only recently having to write bioinformatics Python code that e.g. interrogate GenBank files to…

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antimicrobial resistance

Genetics and Tuberculosis: A Case of New Meets Old

Philip Fowler, 12th July 2019

I was very pleased to be invited to contribute to this “Voices” article organised by…

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