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Fowler Lab
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Predicting antibiotic resistance de novo

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 well for bacterial growth, is able to read a series of minimum inhibitory concentrations for the antibiotics present on a plate.

Previously it was only available to download from this website (due to licensing) if you gave your email address which was inconvenient and also meant the public version often lagged the current stable release.

Now it is available directly from GitHub!

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antimicrobial resistance clinical microbiology computing tuberculosis

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