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The TB Portals: an Open-Access, Web-Based Platform for Global Drug-Resistant-Tuberculosis Data Sharing and Analysis
Author(s) -
Alex Rosenthal,
Andrei Gabrielian,
Eric Engle,
Darrell E. Hurt,
Sofia Alexandru,
Valeriu Crudu,
Eugene Sergueev,
V. V. Kirichenko,
Vladzimir Lapitskii,
Eduard Snezhko,
Vassili Kovalev,
Andrei Astrovko,
Alena Skrahina,
Jessica Taaffe,
Michael A. Harris,
Alyssa Long,
Kurt Wollenberg,
İrada Akhundova,
Sharafat Ismayilova,
Aliaksandr Skrahin,
Elcan Mammadbayov,
Hagigat Gadirova,
Rafik Abuzarov,
Mehriban Seyfaddinova,
Zaza Avaliani,
Irina Strâmbu,
Dragoş Zaharia,
Alexandru Muntean,
Eugenia Ghita,
Miron Alexandru Bogdan,
Roxana Mindru,
Victor Spînu,
Alexandra Sora,
Cătălina Ene,
Sergo Vashakidze,
Natalia Shubladze,
Ucha Nanava,
Alexander V. Tuzikov,
Michael Tartakovsky
Publication year - 2017
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.01013-17
Subject(s) - tuberculosis , world wide web , extensively drug resistant tuberculosis , computer science , drug resistant tuberculosis , medicine , virology , mycobacterium tuberculosis , pathology
The TB Portals program is an international consortium of physicians, radiologists, and microbiologists from countries with a heavy burden of drug-resistant tuberculosis working with data scientists and information technology professionals. Together, we have built the TB Portals, a repository of socioeconomic/geographic, clinical, laboratory, radiological, and genomic data from patient cases of drug-resistant tuberculosis backed by shareable, physical samples. Currently, there are 1,299 total cases from five country sites (Azerbaijan, Belarus, Moldova, Georgia, and Romania), 976 (75.1%) of which are multidrug or extensively drug resistant and 38.2%, 51.9%, and 36.3% of which contain X-ray, computed tomography (CT) scan, and genomic data, respectively. The top Mycobacterium tuberculosis lineages represented among collected samples are Beijing, T1, and H3, and single nucleotide polymorphisms (SNPs) that confer resistance to isoniazid, rifampin, ofloxacin, and moxifloxacin occur the most frequently. These data and samples have promoted drug discovery efforts and research into genomics and quantitative image analysis to improve diagnostics while also serving as a valuable resource for researchers and clinical providers. The TB Portals database and associated projects are continually growing, and we invite new partners and collaborations to our initiative. The TB Portals data and their associated analytical and statistical tools are freely available at https://tbportals.niaid.nih.gov/.

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