Translational Genomics of Tuberculosis

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

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Predict resistance based
on genotypic data

Contribute your data
to this project

Visualize impacts and
strains globally

Interactively analyze our
project data

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

Farhat MR, Murray M, Choirat C, Prasad R, Honaker J, Durbin P, Idris MY, Crosas M, King G, genTB: Translational Genomics of Tuberculosis. gentb.hms.harvard.edu 2015

Funding

American Lung Association

NIH Big Data to Knowledge (BD2K)