TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource.
Andrei GabrielianEric EngleMichael HarrisKurt WollenbergOctavio Juarez-EspinosaAlexander GlogowskiAlyssa LongLisa PattiDarrell E HurtAlex RosenthalMike TartakovskyPublished in: PloS one (2019)
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.
Keyphrases
- drug resistant
- multidrug resistant
- mycobacterium tuberculosis
- electronic health record
- data analysis
- big data
- computed tomography
- acinetobacter baumannii
- gram negative
- south africa
- artificial intelligence
- pseudomonas aeruginosa
- copy number
- public health
- dna methylation
- magnetic resonance imaging
- positron emission tomography
- cystic fibrosis
- quality improvement
- deep learning
- dual energy
- smoking cessation
- genome wide
- adverse drug
- pet ct
- photodynamic therapy
- high throughput
- global health