GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning

GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning

Abstract Background Multidrug-resistant Mycobacterium tuberculosis (Mtb) is a significant global public health threat. Genotypic resistance prediction from Mtb DNA sequences offers an alternative to laboratory-based drug-susceptibility testing. User-friendly and accurate resistance prediction tools...

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Bibliographic Details
Main Authors:	Matthias I. Gröschel, Martin Owens, Luca Freschi, Roger Vargas, Maximilian G. Marin, Jody Phelan, Zamin Iqbal, Avika Dixit, Maha R. Farhat
Format:	Article
Language:	English
Published:	BMC 2021-08-01
Series:	Genome Medicine
Subjects:	Tuberculosis Drug resistance Drug-susceptibility testing Diagnostics Whole genome sequencing Machine learning
Online Access:	https://doi.org/10.1186/s13073-021-00953-4

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