Science Forum: Wikidata as a knowledge graph for the life sciences
Abstract
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.
Top- Waagmeester, Andra
- Stupp, Gregory
- Burgstaller-Muehlbacher, Sebastian
- Good, Benjamin M
- Griffith, Malachi
- Hanspers, Kristina
- Griffith, Obi L
- Hermjakob, Henning
- Hudson, Toby S
- Hybiske, Kevin
- Keating, Sarah M
- Manske, Magnus
- Mayers, Michael
- Mietchen, Daniel
- Mitraka, Elvira
- Pico, Alexander R
- Putman, Timothy
- Riutta, Anders
- Queralt-Rosinach, Nuria
- Schriml, Lynn M
- Shafee, Thomas
- Slenter, Denise
- Stephan, Ralf
- Tsueng, Ginger
- Thornton, Katherine
- Tu, Roger
- Ul-Hasan, Sabah
- Willighagen, Egon
- Wu, Chunlei
- Su, Andrew I
Shortfacts
Category |
Journal Paper |
Divisions |
Bioinformatics and Computational Biology |
Journal or Publication Title |
eLife Sciences |
ISSN |
2050-084X |
Publisher |
eLife Sciences Publications Ltd. |
Place of Publication |
Cambridge UK |
Number |
e52614 |
Volume |
9 |
Date |
17 March 2020 |
Export |