New preprint: evaluating a laboratory workflow for sequencing Mycobacteria using long-read sequencing Philip Fowler, 7th February 20269th April 2026 In this preprint, we describe and evaluate a laboratory workflow for sequencing Mycobacterial samples using long-read sequencing (as exemplified by Oxford Nanopore Technologies). A key part of this manuscript is the development of a lab protocol that combines rapid, semi-automated DNA extraction from MGIT cultures with PCR-based whole-genome amplification. 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 publication research tuberculosis
tuberculosis Kafka and tuberculosis 21st June 20241st July 2024 To mark the centenary of Franz Kafka’s death from laryngeal tuberculosis at the age of… 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
publication New Publication: Lipids can form anti-registered phases 23rd September 201629th September 2018 When we think of lipids phase separating in a cell membrane we usually think of… 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