antimicrobial resistance New paper: how well can we predict AMR in tuberculosis samples? Philip Fowler, 16th December 202516th December 2025 This paper just published in Microbial Genomics examines how well our software tool, gnomonicus, predicts… Continue Reading
antimicrobial resistance New preprint: Predicting pyrazinamide resistance in M. tuberculosis using a graph convolutional network Philip Fowler, 29th October 202530th October 2025 In previous work we’ve used “traditional” machine-learning approaches, like XGBoost, to learn and therefore predict… Continue Reading
antimicrobial resistance New paper: What can subpopulations tell us about rifampicin resistance? Philip Fowler, 14th October 202514th October 2025 Last Thursday this work which we’d previously preprinted looking at looking at rifampicin-resistant subpopulations in… Continue Reading
antimicrobial resistance New preprint: rapidly and reproducibly building resistant catalogues for M. tuberculosis Philip Fowler, 3rd October 202530th October 2025 The CRyPTIC project carried out many exciting research projects but it never quite got around… Continue Reading
antimicrobial resistance New paper: automatically and reproducibly building a catalogue bedaquline resistance-associated variants Philip Fowler, 18th June 20251st July 2025 Dylan Adlard‘s paper describing how we can rapidly automatically build catalogues of bedaquiline resistance-associated variants… Continue Reading
antimicrobial resistance New preprint: looking at rifampicin-resistant subpopulations in clinical samples Philip Fowler, 10th April 202510th April 2025 Since clinical samples are usually grown in a MGIT tube for a while before some… Continue Reading