ClinEpiDB

ClinEpiDB enables exploration and analysis of clinical and epidemiological study datasets focused on eukaryotic pathogens and select hosts by integrating data from EuPathDB and a unified semantic web framework.


Key Features:

  • Integration with EuPathDB: Aggregates and links study data with EuPathDB resources covering over 170 eukaryotic pathogens, related species, and select hosts.
  • Unified semantic web framework: Applies a semantic web framework to support data interoperability and cross-dataset queries.
  • Large-scale epidemiological datasets: Provides access to high-quality, large-scale epidemiological and clinical datasets available for download for downstream analyses.
  • Data visualization and subsetting: Enables visualization and subsetting of datasets to support exploration of associations between variables and hypothesis generation.

Scientific Applications:

  • Epidemiological pattern analysis: Investigate epidemiological patterns of eukaryotic pathogen infections and related host interactions.
  • Clinical outcome assessment: Assess clinical outcomes and associations between clinical variables and pathogen characteristics.
  • Pathogen–host association studies: Explore associations between pathogen characteristics and disease manifestations in hosts.
  • Hypothesis generation and validation: Support hypothesis generation and validation using large-scale datasets and downloadable data for advanced statistical modeling.

Methodology:

Integration with EuPathDB's web toolkit and a unified semantic web framework to enable dataset linking, interrogation, visualization, subsetting, and download for analysis.

Topics

Details

License:
GPL-2.0
Added:
1/14/2020
Last Updated:
12/16/2020

Operations

Publications

Ruhamyankaka E, Brunk BP, Dorsey G, Harb OS, Helb DA, Judkins J, Kissinger JC, Lindsay B, Roos DS, San EJ, Stoeckert CJ, Zheng J, Tomko SS. ClinEpiDB: an open-access clinical epidemiology database resource encouraging online exploration of complex studies. Gates Open Research. 2019;3:1661. doi:10.12688/gatesopenres.13087.1.

Funding: - Bill and Melinda Gates Foundation: OPP1169785 - National Institutes of Health: HHSN272201400030C, U19AI089674

Ruhamyankaka E, Brunk BP, Dorsey G, Harb OS, Helb DA, Judkins J, Kissinger JC, Lindsay B, Roos DS, San EJ, Stoeckert CJ, Zheng J, Tomko SS. ClinEpiDB: an open-access clinical epidemiology database resource encouraging online exploration of complex studies. Gates Open Research. 2020;3:1661. doi:10.12688/gatesopenres.13087.2. PMID:32047873. PMCID:PMC6993508.

Funding: - Bill and Melinda Gates Foundation: OPP1169785 - National Institutes of Health: HHSN272201400030C, U19AI089674

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