New preprint: comparing different genetics analysis pipelines for tuberculosis Philip Fowler, 13th January 202513th January 2025 Ruan Spies has done a careful systematic comparison of the current genetics pipelines that purport to take raw genetic reads from a clinical sample containing M. tuberculosis (or Mycobacteria generally) and process them to produce a putative genome from which an antibiogram can be predicted. He couldn’t get some of the pipelines to work but of the others, with a few exceptions, AMR prediction performance was often similar. The non-functional features of EIT Pathogena stand-out; these are things like resilience, ease-of-use, speed and security. You can read about it here. 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 antimicrobial resistance clinical microbiology gpas publication research tuberculosis
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 New publication: Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of M. tuberculosis 26th October 2018 In this Microbiology paper we show how a Python package, called the Automated Mycobacterial Detection Growth… 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 Can medical microbiology become a big data science? Lessons from CRyPTIC 11th March 202511th March 2025 The CRyPTIC project ran from 2017 to around 2022 and in that time collected over… 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