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

30 Aug 2021

Abstract excerpt

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 are needed to enable public health and clinical practitioners to rapidly diagnose resistance and inform treatment regimens....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34461978
DOI: 10.1186/s13073-021-00953-4

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