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! Share this:TwitterBlueskyEmailLinkedInMastodon Related antimicrobial resistance clinical microbiology computing tuberculosis
New preprint: Including minor alleles improves fluoroquinolone resistance prediction 10th November 202217th November 2022 Fluoroquinolones are used to treat both normal and drug resistant tuberculosis and therefore being able… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
antimicrobial resistance New preprint: compensatory mutations are associated with increased growth in resistant samples of M. tuberculosis. 22nd June 20238th December 2023 In this preprint, Viki Brunner shows how, using the large CRyPTIC dataset, she can recapitulate… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
antimicrobial resistance New software: gemucator 4th September 20184th September 2018 Short for “Genbank Mutation Locator”. A simple Python3 package that if you pass it a… Share this:TwitterBlueskyEmailLinkedInMastodon Read More