BashTheBug reaches one million classifications Philip Fowler, 4th October 20184th October 2018 BashTheBug, a citizen science project I run that is helping us measure how different clinical samples of M. tuberculosis grow in the presence of 14 different antibiotics, reached its first million classifications earlier this week. To read more head over to its blog. The photo mosaic on the left is made up of images sent in by volunteers who’ve all contributed to the success of BashTheBug. Share this:TwitterBlueskyEmailLinkedInMastodon Related antimicrobial resistance citizen science clinical microbiology tuberculosis
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:TwitterBlueskyEmailLinkedInMastodon Read More
antimicrobial resistance New publication: Phylogenetically informative mutations in genes implicated in antibiotic resistance in Mycobacterium tuberculosis complex 9th March 202016th March 2020 Although the population structure M. tuberculosis is clonal, one must be careful when inferring the… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
antimicrobial resistance New preprint: predicting rifampicin resistance 16th August 202416th August 2024 In this preprint we train a series of machine learning models on protein mutations found… Share this:TwitterBlueskyEmailLinkedInMastodon Read More