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1.
Stud Health Technol Inform ; 302: 747-748, 2023 May 18.
Article in English | MEDLINE | ID: covidwho-2323443

ABSTRACT

HealthECCO is the driving force behind the COVID-19 knowledge graph spanning multiple biomedical data domains. One way to access CovidGraph is SemSpect, an interface designed for data exploration in graphs. To showcase the possibilities that arise from integrating a variety of COVID-19 related data sources over the last three years, we present three use cases from the (bio-)medical domain. Availability: The project is open source and freely available from: https://healthecco.org/covidgraph/. The source code and documentation are available on GitHub: https://github.com/covidgraph.


Subject(s)
COVID-19 , Humans , Software , Documentation
2.
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.


Subject(s)
COVID-19 , COVID-19/epidemiology , Humans , Information Storage and Retrieval , Software
3.
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.


Subject(s)
COVID-19 , Databases, Factual , Documentation , Humans , Information Storage and Retrieval , Software
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