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

Internet

https://doi.org/10.1186/s13073-021-00953-4

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