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
SARS-CoV-2 pipeline live on EIT Pathogena 28th January 202528th January 2025 Back in the SARS-CoV-2 pandemic we worked closely with ORACLE Corp to build and deploy… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
antimicrobial resistance Updated preprint: predicting pyrazinamide resistance 21st November 20238th December 2023 This study was performed by Josh Carter back in 2019 and we uploaded a preprint… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
New preprint: automatically building a better bedaquiline catalogue 31st January 202531st January 2025 A catalogue recording whether individual mutations confer resistance or not to specified antibiotics is a… Share this:TwitterBlueskyEmailLinkedInMastodon Read More