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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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Exploring Use Cases for CovidGraph.

Lea Gütebier1, Ron Henkel1, Christian Niklas2

  • 1Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Germany.

Studies in Health Technology and Informatics
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Summary
This summary is machine-generated.

HealthECCO developed CovidGraph, a comprehensive COVID-19 knowledge graph integrating diverse biomedical data. SemSpect enables exploration of this graph, demonstrating its utility through three medical use cases.

Keywords:
Covid-19Data integrationExplorationKnowledge graphs

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Area of Science:

  • Biomedical Informatics
  • Data Science
  • Epidemiology

Background:

  • The COVID-19 pandemic generated vast amounts of biomedical data.
  • Integrating these disparate data sources is crucial for understanding the pandemic.
  • Existing knowledge graphs offer a framework for organizing and querying this information.

Purpose of the Study:

  • To introduce HealthECCO's COVID-19 knowledge graph (CovidGraph).
  • To present SemSpect, an interface for exploring CovidGraph.
  • To demonstrate the value of integrated COVID-19 data through practical use cases.

Main Methods:

  • Development of the HealthECCO COVID-19 knowledge graph.
  • Creation of the SemSpect graph exploration interface.
  • Selection and presentation of three biomedical use cases utilizing the integrated data.

Main Results:

  • The CovidGraph successfully integrates multiple biomedical data domains related to COVID-19.
  • SemSpect provides an effective interface for querying and visualizing the knowledge graph.
  • The presented use cases highlight the potential of integrated data for medical research and insights.

Conclusions:

  • Integrated biomedical data, as represented by CovidGraph and explored via SemSpect, offers significant potential for advancing COVID-19 research.
  • The HealthECCO project provides an open-source platform for accessing and utilizing comprehensive COVID-19 knowledge.
  • Further development and application of such knowledge graphs can accelerate discoveries in infectious disease research.