SCIENCE FORUM Wikidata as a knowledge graph for the life sciences
SCIENCE FORUM Wikidata as a knowledge graph for the life sciences
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DOI：
10.7554/elife.52614
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发表时间：
2020-03-17
期刊：
影响因子：
7.7
通讯作者：
Su, Andrew, I
中科院分区：
文献类型：
--
作者：
Waagmeester, Andra;Stupp, Gregory;Su, Andrew, I
维基数据是一个由社区维护的知识库，由基因组学、蛋白质组学、遗传变异、途径、化合物和疾病领域的知识库组成，并遵循可查找性、可访问性、互操作性和可重用性的公平原则。在这里，我们描述了维基数据中包含的生物医学知识的广度和深度，并讨论了我们构建的开源工具，以向维基数据添加信息并将其与源数据库同步。我们还展示了维基数据的几个用例，包括生物医学本体的众包策展，基于表型的疾病诊断和药物再利用。
Wikidata 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.