Comparing end-user diagnostic outputs from a commercial tNGS pipeline for <i>Mycobacterium tuberculosis</i> drug resistance detection
Comparison of the updated pipeline to the original pipeline revealed significant improvements in diagnostic performance, demonstrating that bioinformatic enhancements alone - without wet-lab modifications - can substantially boost sensitivity and diagnostic yield for DR-TB. These findings underscore the critical role of continuous pipeline optimisation in the evolving resistance landscape to enhance real-time clinical decision-making.
Authors
- Timothy C. Rodwell (ORCID: https://orcid.org/0000-0003-2779-3197)
- Sacha Laurent (ORCID: https://orcid.org/0000-0002-0734-8902)
- Rebecca E. Colman (ORCID: https://orcid.org/0000-0002-6854-2100)
- Shaunak Uplekar
- Nestani Tukvadze (ORCID: https://orcid.org/0000-0002-0276-1204)
- Anita Suresh (ORCID: https://orcid.org/0000-0003-2645-058X)
- Marva Seifert (ORCID: https://orcid.org/0000-0002-7554-6396)
- Shaheed Vally Omar (ORCID: https://orcid.org/0000-0001-6983-1636)
- Camilla Rodrigues
- Andres De la Rossa (ORCID: https://orcid.org/0009-0009-1040-2648)
Institutions
- National Health Laboratory Service (ZA)
- FIND (CH)
- Swiss Tropical and Public Health Institute (CH)
- University of Basel (CH)
- P. D. Hinduja Hospital and Medical Research Centre (IN)
- University of California System (US)
- University of California San Diego (US)
- National Center for Tuberculosis and Lung Disease (GE)
Publication Details
- Journal
- IJTLD OPEN
- Published
- 2025-11-01
- DOI
- https://doi.org/10.5588/ijtldopen.25.0245
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00