2024-08-232024-08-232024-08-053910242010.1371/journal.pcbi.1012260http://hdl.handle.net/10029/627798enCopyright: © 2024 The CRyPTIC consortium. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Quantitative drug susceptibility testing for Mycobacterium tuberculosis using unassembled sequencing data and machine learningArticle1553-7358Plos Comput Biol 2024; 20(8):e1012260