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
computing GROMACS on AWS 13th January 20164th December 2016 In this post I’m going to show how I created an Amazon Machine Instance with… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
antimicrobial resistance New print: Epidemiological cutoff values for a 96-well broth microdilution plate for M. tuberculosis 5th March 202122nd March 2021 In this preprint, the CRyPTIC project proposes the maximum value of minimum inhibitory concentration (MIC)… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
computing HackDay: Data on Acid 31st March 2015 Every year the Software Sustainability Institute (SSI) run a brilliant meeting called the Collaborations Workshop,… Share this:TwitterBlueskyEmailLinkedInMastodon Read More