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
New paper: Evaluating 12 WGS analysis pipelines for MBTC Philip Fowler, 21st October 202529th October 2025 Ruan Spies did a careful systematic analysis of the publicly-available pipelines that claimed to process… Continue Reading
Dylan’s bedaquline paper one of the most read in Microbial Genomics in September! Philip Fowler, 20th October 202520th October 2025 Received a lovely email from Dr Peter Cotgreave who is the Chief Executive of the… Continue Reading
antimicrobial resistance New paper: predicting rifampicin resistance via free energy simulation Philip Fowler, 23rd September 20253rd October 2025 This work was carried out by Xibei Zhang, who is doing her PhD with Peter… 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
New preprint: automatically building a better bedaquiline catalogue Philip Fowler, 31st January 202531st January 2025 A catalogue recording whether individual mutations confer resistance or not to specified antibiotics is a… Continue Reading