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TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource
The NIAID TB Portals Program (TBPP) established a unique and growing database repository of socioeconomic, geographic, clinical, laboratory, radiological, and genomic data from patient cases of drug-resistant tuberculosis (DR-TB). Currently, there are 2,428 total cases from nine country sites (Azerb...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532897/ https://www.ncbi.nlm.nih.gov/pubmed/31120982 http://dx.doi.org/10.1371/journal.pone.0217410 |
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author | Gabrielian, Andrei Engle, Eric Harris, Michael Wollenberg, Kurt Juarez-Espinosa, Octavio Glogowski, Alexander Long, Alyssa Patti, Lisa Hurt, Darrell E. Rosenthal, Alex Tartakovsky, Mike |
author_facet | Gabrielian, Andrei Engle, Eric Harris, Michael Wollenberg, Kurt Juarez-Espinosa, Octavio Glogowski, Alexander Long, Alyssa Patti, Lisa Hurt, Darrell E. Rosenthal, Alex Tartakovsky, Mike |
author_sort | Gabrielian, Andrei |
collection | PubMed |
description | The NIAID TB Portals Program (TBPP) established a unique and growing database repository of socioeconomic, geographic, clinical, laboratory, radiological, and genomic data from patient cases of drug-resistant tuberculosis (DR-TB). Currently, there are 2,428 total cases from nine country sites (Azerbaijan, Belarus, Moldova, Georgia, Romania, China, India, Kazakhstan, and South Africa), 1,611 (66%) of which are multidrug- or extensively-drug resistant and 1,185 (49%), 863 (36%), and 952 (39%) of which contain X-ray, computed tomography (CT) scan, and genomic data, respectively. We introduce the Data Exploration Portal (TB DEPOT, https://depot.tbportals.niaid.nih.gov) to visualize and analyze these multi-domain data. The TB DEPOT leverages the TBPP integration of clinical, socioeconomic, genomic, and imaging data into standardized formats and enables user-driven, repeatable, and reproducible analyses. It furthers the TBPP goals to provide a web-enabled analytics platform to countries with a high burden of multidrug-resistant TB (MDR-TB) but limited IT resources and inaccessible data, and enables the reusability of data, in conformity with the NIH’s Findable, Accessible, Interoperable, and Reusable (FAIR) principles. TB DEPOT provides access to “analysis-ready” data and the ability to generate and test complex clinically-oriented hypotheses instantaneously with minimal statistical background and data processing skills. TB DEPOT is also promising for enhancing medical training and furnishing well annotated, hard to find, MDR-TB patient cases. TB DEPOT, as part of TBPP, further fosters collaborative research efforts to better understand drug-resistant tuberculosis and aid in the development of novel diagnostics and personalized treatment regimens. |
format | Online Article Text |
id | pubmed-6532897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65328972019-06-05 TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource Gabrielian, Andrei Engle, Eric Harris, Michael Wollenberg, Kurt Juarez-Espinosa, Octavio Glogowski, Alexander Long, Alyssa Patti, Lisa Hurt, Darrell E. Rosenthal, Alex Tartakovsky, Mike PLoS One Research Article The NIAID TB Portals Program (TBPP) established a unique and growing database repository of socioeconomic, geographic, clinical, laboratory, radiological, and genomic data from patient cases of drug-resistant tuberculosis (DR-TB). Currently, there are 2,428 total cases from nine country sites (Azerbaijan, Belarus, Moldova, Georgia, Romania, China, India, Kazakhstan, and South Africa), 1,611 (66%) of which are multidrug- or extensively-drug resistant and 1,185 (49%), 863 (36%), and 952 (39%) of which contain X-ray, computed tomography (CT) scan, and genomic data, respectively. We introduce the Data Exploration Portal (TB DEPOT, https://depot.tbportals.niaid.nih.gov) to visualize and analyze these multi-domain data. The TB DEPOT leverages the TBPP integration of clinical, socioeconomic, genomic, and imaging data into standardized formats and enables user-driven, repeatable, and reproducible analyses. It furthers the TBPP goals to provide a web-enabled analytics platform to countries with a high burden of multidrug-resistant TB (MDR-TB) but limited IT resources and inaccessible data, and enables the reusability of data, in conformity with the NIH’s Findable, Accessible, Interoperable, and Reusable (FAIR) principles. TB DEPOT provides access to “analysis-ready” data and the ability to generate and test complex clinically-oriented hypotheses instantaneously with minimal statistical background and data processing skills. TB DEPOT is also promising for enhancing medical training and furnishing well annotated, hard to find, MDR-TB patient cases. TB DEPOT, as part of TBPP, further fosters collaborative research efforts to better understand drug-resistant tuberculosis and aid in the development of novel diagnostics and personalized treatment regimens. Public Library of Science 2019-05-23 /pmc/articles/PMC6532897/ /pubmed/31120982 http://dx.doi.org/10.1371/journal.pone.0217410 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Gabrielian, Andrei Engle, Eric Harris, Michael Wollenberg, Kurt Juarez-Espinosa, Octavio Glogowski, Alexander Long, Alyssa Patti, Lisa Hurt, Darrell E. Rosenthal, Alex Tartakovsky, Mike TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource |
title | TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource |
title_full | TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource |
title_fullStr | TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource |
title_full_unstemmed | TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource |
title_short | TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource |
title_sort | tb depot (data exploration portal): a multi-domain tuberculosis data analysis resource |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532897/ https://www.ncbi.nlm.nih.gov/pubmed/31120982 http://dx.doi.org/10.1371/journal.pone.0217410 |
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