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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-02-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2658-z |