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
computing New Publication: Predicting affinities for peptide transporters 29th January 201629th September 2018 PepT1 is a nutrient transporter found in the cells that line your small intestine. It… 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 BioExcel Alchemical Free Energy workshop 17th June 2019 Last month I was invited to give a talk on using alchemical free energy methods… 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
clinical microbiology New paper: Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny 9th February 20269th February 2026 Zam Iqbal, at the University of Bath, led this epic study published today in Nature… 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