Successful NIHR grant Philip Fowler, 29th June 20185th August 2018 Last year I coordinated a bid to the NIHR for capital to improve our research capacity to study antimicrobial resistance (AMR) at the Oxford Biomedical Research Centre. We were successful and were awarded £1.8 million to fund several different activities, including developing vaccines to prevent the spread of AMR. Previously in the John Radcliffe hospital Clinical Microbiology had one small second-generation genetic sequencer; now as a result of the grant we have a second, but more crucially, two very high-throughput third-generation genetic sequencers. These are GridIONs from Oxford Nanopore and sequence DNA in a completely different way that could revolutionise the use of genetics in Clinical Microbiology. Grants like this all too-often often focus on the experimental equipment at the expense of the compute and storage you need to analyse and store the data. We were fortunate to secure funds to provide a small processing cluster in the room next to the sequencing facility in addition to much larger storage and compute at the Big Data Institute, part of which my group will be able to use to continue to develop methods for de novo prediction of the effect of individual protein mutations on the actions of antibiotics. Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology grants research
antimicrobial resistance GARC: A Grammar for Antimicrobial Resistance Catalogues 25th November 201817th November 2020 During the CRyPTIC project it has become obvious that we need a grammar to describe… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning 14th August 202414th August 2024 This is the last paper from the initial set of CRyPTIC publications following the project’s… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New Publication: Predicting whether mutations confer resistance to an antibiotic 5th January 201829th September 2018 Due to the rise of antibiotic resistance, it is increasingly important that your clinician knows… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More