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CovidGraph: Integrating COVID-19 Data.
Henkel, Ron; Guetebier, Lea; Waltemath, Dagmar.
  • Henkel R; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald.
  • Guetebier L; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald.
  • Waltemath D; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald.
Stud Health Technol Inform ; 294: 711-712, 2022 May 25.
Article in English | MEDLINE | ID: covidwho-1865437
ABSTRACT
CovidGraph, developed by the HealthECCO community, is a platform designed to foster research and data exploration to fight COVID-19. It is built on a graph database and encompasses data sources from different biomedical data domains including publications, clinical trials, patents, case statistics, molecular data and systems biology models. The tool provides multiple interfaces for data exploration and thus serves as a single point of entry for data driven COVID-19 research. Availability and Implementation CovidGraph is available from the project website https//healthecco.org/covidgraph/. The source code and documentation are provided on GitHub https//github.com/covidgraph.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article