Welcome The main aim of our research is to develop methods that can de novo predict the effect of protein mutations on the action of antibiotics. Latest News New preprint: ONT sequencing is comparable to Illumina sequencing for M. tuberculosis9th April 2026 Congratulations Dr Adlard!7th March 2026 New paper: predicting pyrazinamide using a graph convolutional network3rd March 2026 New paper: Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny9th February 2026 New preprint: evaluating a laboratory workflow for sequencing Mycobacteria using long-read sequencing7th February 2026 Gr-ADI consortium announced22nd January 2026 New paper: how well can we predict AMR in tuberculosis samples?16th December 2025 Congratulations Dr Brunner!10th December 2025 New preprint: Predicting pyrazinamide resistance in M. tuberculosis using a graph convolutional network29th October 2025 New paper: Evaluating 12 WGS analysis pipelines for MBTC21st October 2025 Dylan’s bedaquline paper one of the most read in Microbial Genomics in September!20th October 2025 New paper: What can subpopulations tell us about rifampicin resistance?14th October 2025 New preprint: rapidly and reproducibly building resistant catalogues for M. tuberculosis3rd October 2025 New paper: predicting rifampicin resistance via free energy simulation23rd September 2025 Third Dx4LMICs conference3rd July 2025 Tweets by _fowlerlab_ 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