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:Twitter Related antimicrobial resistance clinical microbiology computing tuberculosis
computing Improving Software Carpentry workshops 1st November 201223rd September 2018 Aron Ahmadia who helped run the Software Carpentry course has written a nice blog where… Share this:Twitter Read More
antimicrobial resistance New paper: Infection Inspection 10th September 202410th September 2024 This paper is the cumulation of a lot of hard work by an interdisciplinary team… Share this:Twitter 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:Twitter Read More