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
tuberculosis Numpy v Biopython 25th July 20194th August 2019 Having only recently having to write bioinformatics Python code that e.g. interrogate GenBank files to… Share this:Twitter Read More
antimicrobial resistance New preprint: Infection Inspection 12th December 202312th December 2023 Some great work by Conor Feehily, Nicole Stoesser and others, including collaborators from the Department… Share this:Twitter Read More
antimicrobial resistance Twitter at #ECCMID 27th April 20175th August 2018 A bit over two years ago I was a guest blogger at the US Biophysical… Share this:Twitter Read More