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
clinical microbiology ESM Annual Congress 2026 26th June 202626th June 2026 Earlier this week the 46th Annual Congress of the European Society of Mycobacteriology was held in Verona,… 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 paper: detecting compensatory mutations in the RNAP of M. tuberculosis 5th February 20245th February 2024 In this paper, by examining testing the association between mutations known to be associate with… 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 Goodbye glados 11th July 2018 Setting up my own computing cluster with a batch queuing system and then using it… 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