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CovidGraph: a graph to fight COVID-19.
Gütebier, Lea; Bleimehl, Tim; Henkel, Ron; Munro, Jamie; Müller, Sebastian; Morgner, Axel; Laenge, Jakob; Pachauer, Anke; Erdl, Alexander; Weimar, Jens; Walther Langendorf, Kirsten; Vialard, Vincent; Liebig, Thorsten; Preusse, Martin; Waltemath, Dagmar; Jarasch, Alexander.
  • Gütebier L; Medical Informatics Laboratory, University Medicine Greifswald, Greifswald 17475, Germany.
  • Bleimehl T; HealthECCO, Freiburg 79098, Germany.
  • Henkel R; HealthECCO, Freiburg 79098, Germany.
  • Munro J; German Center for Diabetes Research (DZD), Neuherberg 85764, Germany.
  • Müller S; Medical Informatics Laboratory, University Medicine Greifswald, Greifswald 17475, Germany.
  • Morgner A; HealthECCO, Freiburg 79098, Germany.
  • Laenge J; HealthECCO, Freiburg 79098, Germany.
  • Pachauer A; HealthECCO, Freiburg 79098, Germany.
  • Erdl A; HealthECCO, Freiburg 79098, Germany.
  • Weimar J; HealthECCO, Freiburg 79098, Germany.
  • Walther Langendorf K; HealthECCO, Freiburg 79098, Germany.
  • Vialard V; HealthECCO, Freiburg 79098, Germany.
  • Liebig T; HealthECCO, Freiburg 79098, Germany.
  • Preusse M; HealthECCO, Freiburg 79098, Germany.
  • Waltemath D; HealthECCO, Freiburg 79098, Germany.
  • Jarasch A; HealthECCO, Freiburg 79098, Germany.
Bioinformatics ; 38(20): 4843-4845, 2022 10 14.
Article in English | MEDLINE | ID: covidwho-2017734
ABSTRACT

SUMMARY:

Reliable and integrated data are prerequisites for effective research on the recent coronavirus disease 2019 (COVID-19) pandemic. The CovidGraph project integrates and connects heterogeneous COVID-19 data in a knowledge graph, referred to as 'CovidGraph'. It provides easy access to multiple data sources through a single point of entry and enables flexible data exploration. AVAILABILITY AND IMPLEMENTATION More information on CovidGraph is available from the project website https//healthecco.org/covidgraph/. Source code and documentation are provided on GitHub https//github.com/covidgraph. SUPPLEMENTARY INFORMATION Supplementary data is available at Bioinformatics online.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Bioinformatics Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: Bioinformatics

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Bioinformatics Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: Bioinformatics