New print: Epidemiological cutoff values for a 96-well broth microdilution plate for M. tuberculosis Philip Fowler, 5th March 202122nd March 2021 In this preprint, the CRyPTIC project proposes the maximum value of minimum inhibitory concentration (MIC) for 13 different anti-TB drugs below which a sample can be considered to be ‘genotypically wild-type’. It is necessary to establish these values, called epidemiological cutoff values (ECOFFs or ECVs), so that the MICs measured can be converted into binary (resistant/susceptible), or in the case of three drugs ternary (resistant/intermediate/susceptible), predictions. The preprint draws on 20,637 clinical isolates collected by 14 CRyPTIC laboratories based in 11 countries on five continents. 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 publication research tuberculosis
New preprint: evaluating a laboratory workflow for sequencing Mycobacteria using long-read sequencing 7th February 20269th April 2026 In this preprint, we describe and evaluate a laboratory workflow for sequencing Mycobacterial samples using… 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
GPAS stopover on the ORACLE road trip 1st February 20221st February 2022 You can listen to Philip Fowler talk about the Global Pathogen Analysis System (GPAS) as… 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 paper: Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning 14th August 202414th August 2024 This is the last paper from the initial set of CRyPTIC publications following the project’s… 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