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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.
antimicrobial resistance

GARC: A Grammar for Antimicrobial Resistance Catalogues

Philip Fowler, 25th November 201817th November 2020

During the CRyPTIC project it has become obvious that we need a grammar to describe…

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antimicrobial resistance

New publication: Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of M. tuberculosis

Philip Fowler, 26th October 2018

In this Microbiology paper we show how a Python package, called the Automated Mycobacterial Detection Growth…

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antimicrobial resistance

BashTheBug reaches one million classifications

Philip Fowler, 4th October 20184th October 2018

  BashTheBug, a citizen science project I run that is helping us measure how different…

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antimicrobial resistance

New publication: Assessing Drug Susceptibility in Tuberculosis

Philip Fowler, 28th September 201829th September 2018

A paper was published in the New England Journal of Medicine earlier this week by…

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computing

Software Carpentry Workshop

Philip Fowler, 10th September 201810th September 2018

Last week on Thursday and Friday I helped run a Software Carpentry workshop in the…

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antimicrobial resistance

New software: gemucator

Philip Fowler, 4th September 20184th September 2018

Short for “Genbank Mutation Locator”. A simple Python3 package that if you pass it a…

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