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Fig. 7 | BMC Medical Informatics and Decision Making

Fig. 7

From: Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology

Fig. 7

Turn-key adaptation of KGEV to study human disease phenotypes. The entire HPO database of disease-phenotype relationships was stored in a new Neo4j database, following the schema of the COVID-19 database (but without text information). Just by swapping the database, one can use the same user interface to query the KG, but on a different set of data. The figure shows an example of finding the shortest path between polydactyly, syndactyl, and cleft palate phenotypes to determine diseases that share at least two of the three phenotypes

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