New preprint: using genetics to analyse ESBL infections in a neonatal ICU ward Philip Fowler, 7th July 20267th July 2026 In this preprint, Melody Parker as part of her DPhil, has analysed a series of infections in a neonatal intensive care unit. At the time there was concern that this could be an outbreak; if so the ICU team would want to improve their infection control measures. Whole genome sequencing can give you the really fine-grained resolution to be able to say that these two infections likely came from the same source or, more subtly for Enterobacterales, that the plasmid carrying the AMR gene in these two different species is identical and therefore is likely to have hopped from one to the other in the hospital environment. Answering these questions is a challenge and required Melody to compare both the chromosomes of the different bacteria in the samples as well as the plasmids. The latter are especially tricky due to how they can shuffle genetic material around, hence she had to use the number of double-cut and joins (measured using pling) as a measure of how similar different plasmids in a community were. She found no evidence of plasmids containing blaCTX-M alleles moving between species and the data suggested the increase in infections was driven by several small outbreaks of different strains introduced to the ICU from outside. 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 group publication research
group Congratulations Dr Brankin! 21st January 202321st January 2023 Alice successfully defended her thesis “Predicting Fluoroquinolone Resistance in Mycobacterium tuberculosis” yesterday. Her examiners were Professor… 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 preprint: Predicting pyrazinamide resistance in M. tuberculosis using a graph convolutional network 29th October 202530th October 2025 In previous work we’ve used “traditional” machine-learning approaches, like XGBoost, to learn and therefore predict… 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 software: gemucator 4th September 20184th September 2018 Short for “Genbank Mutation Locator”. A simple Python3 package that if you pass it a… 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