New preprint: processing SARS-CoV-2 genetics in the cloud Philip Fowler, 31st January 202431st January 2024 In this preprint, we describe how in July 2022 for two weeks seven sites in six continents uploaded raw genetics files derived from sequencing SARS-CoV-2 clinical samples to our cloud-based platform, GPAS. Overall 5,436 samples were uploaded to GPAS and, unsurprisingly at that time, various Omicron lineages dominated. More surprisingly was the finding that highly similar SARS-CoV-2 genomes could be found in multiple continents, indicative of the rapid rate that the virus was transported around the world. Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related clinical microbiology distributed computing gpas
antimicrobial resistance New publication: Validating a bespoke 96-well plate for high-throughput drug susceptibility testing of M. tuberculosis 28th August 201829th September 2018 This paper, published in Antimicrobial Agents and Chemotherapy, determines the reproducibility and accuracy of minimum… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New publication: how quickly can be calculate the effect of a mutation on an antibiotic? 20th November 202020th November 2020 The idea for this paper arose during talking over coffee at the BioExcel Alchemical Free… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance AMyGDA now available from GitHub 27th January 202027th January 2020 AMyGDA is a python module that analyses photographs of 96-well plates and, by examining each… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More