New publication: fast human read decontamination for SARS-CoV-2 Philip Fowler, 16th May 202216th May 2022 ReadItAndKeep is a new human-read decontamination algorithm that works by mapping the reads in a FASTQ file to the reference SARS-CoV-2 genome. This works because SARS-CoV-2 genetic variation is not so high as to lead to reads being incorrectly discarded and means the algorithm, which relies on minimap2, is both fast and has a low memory footprint. Published in Bioinformatics last week 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 clinical microbiology computing gpas
antimicrobial resistance New preprint: Infection Inspection 12th December 202312th December 2023 Some great work by Conor Feehily, Nicole Stoesser and others, including collaborators from the Department… 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
computing GROMACS on AWS: compiling against CUDA 27th January 201623rd September 2018 If you want to compile GROMACS to run on a GPU Amazon Web Services EC2… 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 by machine learning 29th April 201929th April 2019 Usually, the protein that an antibiotic binds is essential for bacterial survival, which is how… 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