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dc.contributor.authorWaagmeester, A.
dc.contributor.authorStupp, G.
dc.contributor.authorMitraka, E.
dc.date.accessioned2020-04-01T20:14:16Z
dc.date.available2020-04-01T20:14:16Z
dc.date.issued2020
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85081974763&doi=10.7554%2feLife.52614&partnerID=40&md5=6faa6b94eb615d9119b19c4314f97e5c
dc.identifier.urihttp://hdl.handle.net/10713/12462
dc.description.abstractWikidata is a community-maintained knowledge base that has been assembled from repositories in the fields of genomics, proteomics, genetic variants, pathways, chemical compounds, and diseases, and that adheres to the FAIR principles of findability, accessibility, interoperability and reusability. Here we describe the breadth and depth of the biomedical knowledge contained within Wikidata, and discuss the open-source tools we have built to add information to Wikidata and to synchronize it with source databases. We also demonstrate several use cases for Wikidata, including the crowdsourced curation of biomedical ontologies, phenotype-based diagnosis of disease, and drug repurposing. Copyright 2020, Waagmeester et al.en_US
dc.description.urihttps://doi.org/10.7554/eLife.52614en_US
dc.language.isoen_USen_US
dc.publishereLife Sciences Publicationsen_US
dc.relation.ispartofeLife
dc.subjectcomputational biologyen_US
dc.subjectdata miningen_US
dc.subjectdrug repurposingen_US
dc.subjectknowledge graphsen_US
dc.subjectnoneen_US
dc.subjectscience forumen_US
dc.subjectsystems biologyen_US
dc.subjectwikidataen_US
dc.titleWikidata as a knowledge graph for the life sciencesen_US
dc.typeArticleen_US
dc.identifier.doi10.7554/eLife.52614
dc.identifier.pmid32180547


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