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: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon 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: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
New preprint: validating antibiotic resistance prediction in our Myco pipeline 9th November 202413th January 2025 Over the last 18 months or so we’ve been designing, coding and testing a Mycobacterial… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
New publication: Predicting antibiotic resistance in complex protein targets using alchemical free energy methods 26th August 202224th October 2022 In this paper, Alice Brankin calculates how different mutations in the DNA gyrase affect the… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More