SNP-IT Tool for Identifying Subspecies and Associated Lineages of Mycobacterium tuberculosis Complex

The clinical phenotype of zoonotic tuberculosis and its contribution to the global burden of disease are poorly understood and probably underestimated. This shortcoming is partly because of the inability of currently available laboratory and in silico tools to accurately identify all subspecies of t...

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Bibliographic Details
Published in:	Emerging infectious diseases Vol. 25; no. 3; pp. 482 - 488
Main Authors:	Lipworth, Samuel, Jajou, Rana, de Neeling, Albert, Bradley, Phelim, van der Hoek, Wim, Maphalala, Gugu, Bonnet, Maryline, Sanchez-Padilla, Elizabeth, Diel, Roland, Niemann, Stefan, Iqbal, Zamin, Smith, Grace, Peto, Tim, Crook, Derrick, Walker, Timothy, van Soolingen, Dick
Format:	Journal Article
Language:	English
Published:	United States U.S. National Center for Infectious Diseases 01.03.2019 Centers for Disease Control and Prevention
Subjects:	Animals Antitubercular Agents - pharmacology Complex Computational Biology - methods DNA, Bacterial Drug Resistance, Bacterial Genetic aspects Genetic Markers Genetic polymorphisms Genomes Genomics Humans Molecular Typing Mycobacterium tuberculosis - classification Mycobacterium tuberculosis - drug effects Mycobacterium tuberculosis - genetics Mycobacterium tuberculosis - isolation & purification Phylogeny Polymorphism, Single Nucleotide Prevalence single nucleotide polymorphism Single nucleotide polymorphisms SNP-IT SNP-IT Tool for Identifying Subspecies and Associated Lineages of Tuberculosis Tuberculosis - epidemiology Tuberculosis - microbiology whole genome sequencing Zoonoses Zoonoses - epidemiology Zoonoses - microbiology United Kingdom Netherlands SNP-IT Mycobacterium tuberculosis bacteria whole-genome sequencing tuberculosis United Kingdom phylogeny zoonoses single-nucleotide polymorphism TB
ISSN:	1080-6040, 1080-6059, 1080-6059
Online Access:	Get full text
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