Additional file 1: of Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs
Phelan, J
, O’Sullivan, DM, Machado, D, Ramos, J, Oppong, YE, Campino, S
, O’Grady, J, McNerney, R, Hibberd, ML
, Viveiros, M, Huggett, JF and Clark, TG
(2019).
Additional file 1: of Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs.
[Dataset].
Figshare.
https://doi.org/10.6084/m9.figshare.8318861.v1
Mycobacterium tuberculosis resistance to anti-tuberculosis drugs is a major threat to global public health. Whole genome sequencing (WGS) is rapidly gaining traction as a diagnostic tool for clinical tuberculosis settings. To support this informatically, previous work led to the development of the widely used TBProfiler webtool, which predicts resistance to 14 drugs from WGS data. However, for accurate and rapid high throughput of samples in clinical or epidemiological settings, there is a need for a stand-alone tool and the ability to analyse data across multiple WGS platforms, including Oxford Nanopore MinION.
Keywords
Drug resistance, Tuberculosis, Diagnostics, Drug-susceptibility testing, MDR-TB, XDR-TB, WGSItem Type | Dataset |
---|---|
Capture method | Experiment |
Date | 24 June 2019 |
Language(s) of written materials | English |
Creator(s) |
Phelan, J |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
Project Funder Grant Number Funder URI |
Date Deposited | 23 Jul 2019 13:02 |
Last Modified | 08 Jul 2021 12:51 |
Publisher | Figshare |
Explore Further
- Newton Institutional Links
- Medical Research Council
- Medical Research Council
- Fundação para a Ciência e a Tecnologia
- UK Antimicrobial Resistance Cross Council Initiative
- Genome Medicine (Paper)
- Figshare (Online Data Resource)
No files available. Please consult associated links.
- Genome Medicine (Paper)
- Figshare (Online Data Resource)
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ORCID: https://orcid.org/0000-0001-8323-7019
ORCID: https://orcid.org/0000-0003-1403-6138
ORCID: https://orcid.org/0000-0001-8587-1849
ORCID: https://orcid.org/0000-0001-8985-9265