A knowledge graph to interpret clinical proteomics data

Santos, Alberto; Colaço, Ana R.; Nielsen, Annelaura Bach; Niu, Lili; Strauss, Maximilian T.; Geyer, Philipp E.; Coscia, Fabian; Albrechtsen, Nicolai J. Wewer; Mundt, Filip; Jensen, Lars Juhl; Mann, Matthias

doi:10.1038/s41587-021-01145-6

articleNature BiotechnologyJan 31, 2022HYBRID OA

A knowledge graph to interpret clinical proteomics data

ASAlberto Santos ARAna R. Colaço ABAnnelaura Bach Nielsen LNLili Niu MTMaximilian T. Strauss

University of Copenhagen · Open Data Institute · +3 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

Implementing precision medicine hinges on the integration of omics data, such as proteomics, into the clinical decision-making process, but the quantity and diversity of biomedical data, and the spread of clinically relevant knowledge across multiple biomedical databases and publications, pose a challenge to data integration. Here we present the Clinical Knowledge Graph (CKG), an open-source platform currently comprising close to 20 million nodes and 220 million relationships that represent relevant experimental data, public databases and literature. The graph structure provides a flexible data model that is easily extendable to new nodes and relationships as new databases become available. The CKG…

Citation impact

286

total citations

FWCI: 22.78
Percentile: 100%
References: 88

Citations per year

Authors

11

Topics & keywords

Topics

Keywords

Workflow
Computer science
Data integration
Proteomics
Data science
Profiling (computer programming)
Graph
Data mining

UN Sustainable Development Goals

Peace, Justice and strong institutions

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