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
New preprint: validating antibiotic resistance prediction in our Myco pipeline 9th November 202413th January 2025 Over the last 18 months or so we’ve been designing, coding and testing a Mycobacterial… 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: a deep learning model that reads MICs from images of 96 well plates 26th May 20251st July 2025 Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations… 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
research So…. I’m a Software Sustainability Fellow 19th December 2013 I’m pleased to announce that I am one of the Software Sustainability Fellows for 2014…. 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