Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms

Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms

Abstract Background It is possible to predict whether a tuberculosis (TB) patient will fail to respond to specific antibiotics by sequencing the genome of the infecting Mycobacterium tuberculosis (Mtb) and observing whether the pathogen carries specific mutations at drug-resistance sites. This advan...

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Bibliographic Details
Main Authors: Tra-My Ngo, Yik-Ying Teo
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BMC Bioinformatics
Subjects:
Tuberculosis
Drug-resistance
Genomic prediction
Online Access:http://link.springer.com/article/10.1186/s12859-019-2658-z

Internet

http://link.springer.com/article/10.1186/s12859-019-2658-z

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