TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource

Autor: Lisa Patti, Eric Engle, Michael Harris, Kurt Wollenberg, Octavio Juarez-Espinosa, Alyssa Long, Alexander Glogowski, Alex Rosenthal, Darrell E. Hurt, Andrei Gabrielian, Mike Tartakovsky
Jazyk: angličtina
Rok vydání: 2019
Předmět:
0301 basic medicine
Bacterial Diseases
Big Data
Data Analysis
Databases
Factual
Computer science
Extensively Drug-Resistant Tuberculosis
Big data
Drug resistance
Web Browser
Diagnostic Radiology
Cohort Studies
0302 clinical medicine
Resource (project management)
Drug Resistance
Multiple
Bacterial
Tuberculosis
Multidrug-Resistant
Medicine and Health Sciences
030212 general & internal medicine
Tomography
Multidisciplinary
Data exploration
Radiology and Imaging
Genomics
Pulmonary Imaging
Infectious Diseases
Medicine
Research Article
Tuberculosis
Imaging Techniques
Science
MEDLINE
Neuroimaging
Research and Analysis Methods
Polymorphism
Single Nucleotide
World Wide Web
03 medical and health sciences
Genomic Medicine
Diagnostic Medicine
National Institute of Allergy and Infectious Diseases (U.S.)
medicine
Genetics
Genomic medicine
Humans
business.industry
Extensively drug-resistant tuberculosis
Biology and Life Sciences
Computational Biology
Mycobacterium tuberculosis
Comparative Genomics
medicine.disease
Tropical Diseases
Genome Analysis
United States
Computed Axial Tomography
030104 developmental biology
Analytics
business
Genome
Bacterial
Neuroscience
Zdroj: PLoS ONE, Vol 14, Iss 5, p e0217410 (2019)
PLoS ONE
ISSN: 1932-6203
Popis: 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.
Databáze: OpenAIRE
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