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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: computing

antimicrobial resistance

New Publication: Predicting whether mutations confer resistance to an antibiotic

Philip Fowler, 5th January 201829th September 2018

Due to the rise of antibiotic resistance, it is increasingly important that your clinician knows…

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citizen science

Automated detection of bacterial growth on 96-well plates (AMyGDA)

Philip Fowler, 11th December 20175th August 2018

I am involved in an international collaboration, the Comprehensive Resistance Prediction for Tuberculosis: an International Consortium…

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distributed computing

Azure. Can I break it? Yes you can.

Philip Fowler, 3rd December 201714th March 2018

In this post, I’ll spell out some of the problems we encountered using Microsoft Azure…

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distributed computing

Azure, Hackathons and PhD students: Feedback

Philip Fowler, 2nd December 201714th March 2018

This is the second year that I have organised a three-week course on Bioinformatics from…

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distributed computing

A way of using Azure in computer-based practicals

Philip Fowler, 1st December 201714th March 2018

Last year I took over coordinating a three-week Bioinformatics module for the Interdisciplinary Bioscience Doctoral…

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antimicrobial resistance

Accelerating Oxford Nanopore basecalling

Philip Fowler, 26th January 20175th August 2018

It looks innocuous sitting on the desk, an Oxford Nanopore MinION, but it can produce…

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