Name
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.3233/SHTI220565 | Medical Informatics Europe (MIE) |
Keywords | DocType | Volume |
COVID-19,Computational Biology Models,Graph Database,Ontology | Conference | 294 |
ISSN | Citations | PageRank |
1879-8365 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ron Henkel | 1 | 0 | 0.34 |
| Lea Guetebier | 2 | 0 | 0.34 |
| Dagmar Waltemath | 3 | 2 | 3.40 |