AMyGDA now available from GitHub Philip Fowler, 27th January 202027th January 2020 0 shares 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 Setting up a GROMACS cluster 28th April 2016 Recently I’ve moved to the John Radcliffe hospital and my old lab kindly let me… Share this:Twitter Pages: 1 2 3 4 5 Read More
New publication: CRyPTIC Data Compendium 16th August 202216th August 2022 The large and comprehensive dataset of clinical tuberculosis isolates collected by the CRyPTIC project is… Share this:Twitter Read More
antimicrobial resistance New preprint: Deciphering bedaquiline and clofazimine resistance in tuberculosis 22nd March 202122nd March 2021 In this preprint we examine 14,151 clinical isolates drawn from the CRyPTIC dataset. Each isolate… Share this:Twitter Read More