antimicrobial resistance New preprint: predicting rifampicin resistance Philip Fowler, 16th August 202416th August 2024 In this preprint we train a series of machine learning models on protein mutations found… Continue Reading
antimicrobial resistance New paper: Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning Philip Fowler, 14th August 202414th August 2024 This is the last paper from the initial set of CRyPTIC publications following the project’s… Continue Reading
antimicrobial resistance New paper: predicting pyrazinamide resistance Philip Fowler, 20th March 202420th March 2024 This paper has finally been published and you can find it here. It had a… Continue Reading
antimicrobial resistance New paper: detecting compensatory mutations in the RNAP of M. tuberculosis Philip Fowler, 5th February 20245th February 2024 In this paper, by examining testing the association between mutations known to be associate with… Continue Reading
antimicrobial resistance New paper: quantitative measurement of effect of mutations on antibiotics in M. tuberculosis Philip Fowler, 15th January 202415th January 2024 The CRyPTIC project played a major role in the release by the WHO of their… Continue Reading
antimicrobial resistance Updated preprint: predicting pyrazinamide resistance Philip Fowler, 21st November 20238th December 2023 This study was performed by Josh Carter back in 2019 and we uploaded a preprint… Continue Reading