QuantTB – a method to classify mixed Mycobacterium tuberculosis infections within whole genome sequencing data

QuantTB – a method to classify mixed Mycobacterium tuberculosis infections within whole genome sequencing data

Abstract Background Mixed infections of Mycobacterium tuberculosis and antibiotic heteroresistance continue to complicate tuberculosis (TB) diagnosis and treatment. Detection of mixed infections has been limited to molecular genotyping techniques, which lack the sensitivity and resolution to accurat...

Full description

Bibliographic Details
Main Authors: Christine Anyansi, Arlin Keo, Bruce J. Walker, Timothy J. Straub, Abigail L. Manson, Ashlee M. Earl, Thomas Abeel
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Genomics
Subjects:
Tuberculosis
Mycobacterium tuberculosis
Mixed infection
Metagenomics
Strain level classification
Strain identification
Online Access:https://doi.org/10.1186/s12864-020-6486-3

Internet

https://doi.org/10.1186/s12864-020-6486-3

Similar Items