Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data

Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data

Abstract Background Mixed, polyclonal Mycobacterium tuberculosis infection occurs in natural populations. Developing an effective method for detecting such cases is important in measuring the success of treatment and reconstruction of transmission between patients. Using whole genome sequence (WGS)...

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Bibliographic Details
Main Authors: Benjamin Sobkowiak, Judith R. Glynn, Rein M. G. J. Houben, Kim Mallard, Jody E. Phelan, José Afonso Guerra-Assunção, Louis Banda, Themba Mzembe, Miguel Viveiros, Ruth McNerney, Julian Parkhill, Amelia C. Crampin, Taane G. Clark
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Genomics
Subjects:
Mycobacterium tuberculosis
Tuberculosis
Bioinformatics
Epidemiology
Genomic analysis
Mixed infection
Online Access:http://link.springer.com/article/10.1186/s12864-018-4988-z

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http://link.springer.com/article/10.1186/s12864-018-4988-z

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