Medical Informatics Laboratory, University Medicine Greifswald, Greifswald 17475, Germany.
HealthECCO, Freiburg 79098, Germany.
Bioinformatics. 2022 Oct 14;38(20):4843-4845. doi: 10.1093/bioinformatics/btac592.
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.
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 data is available at Bioinformatics online.
可靠和集成的数据是对最近的 2019 年冠状病毒病（COVID-19）大流行进行有效研究的前提条件。CovidGraph 项目将异构的 COVID-19 数据集成到一个知识图谱中，称为“CovidGraph”。它通过单点访问提供对多个数据源的轻松访问，并支持灵活的数据探索。
更多关于 CovidGraph 的信息可从项目网站获得：https://healthecco.org/covidgraph/。源代码和文档可在 GitHub 上获得：https://github.com/covidgraph。
补充数据可在“生物信息学在线”上获得。
