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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.
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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antimicrobial resistance

BioExcel Alchemical Free Energy workshop

Philip Fowler, 17th June 2019

Last month I was invited to give a talk on using alchemical free energy methods…

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computing

Compression FASTA files natively in Python

Philip Fowler, 23rd May 201926th May 2019

The M. tuberculosis genome is pretty small, only 4.4 million nucleotides, so storing all that…

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antimicrobial resistance

New preprint: Predicting pyrazinamide resistance by machine learning

Philip Fowler, 29th April 201929th April 2019

Usually, the protein that an antibiotic binds is essential for bacterial survival, which is how…

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Installing pmx

Philip Fowler, 4th February 201924th October 2022

The current version of pmx is Python2. Thanks to Dom we know there is a…

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