Translational Genomics of Tuberculosis

genTB is an analysis tool for Mycobacterium tuberculosis genomic data that offers three main features: a means for sharing, citing and crediting TB data and metadata, the prediction of resistance on genotype using a machine learning algorithm, and geographic resistance and mutation data mapping.

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Contribute your data
to this project

Predict resistance based
on genotypic data

Map strain resistance and lineage globally

Terms of Use

This project is developed and maintained by researchers and clinicians as a benefit to the research and education community. Although this website is curated, it is also provided in an "as is" basis only, without warranty or representation as to its accuracy or reliability.

Cite the Project

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Groeschel M et. al. GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning Genome Medicine 2021


American Lung Association

NIH Big Data to Knowledge (BD2K)