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Wikidata as a knowledge graph for the life sciences
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. He...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077981/ https://www.ncbi.nlm.nih.gov/pubmed/32180547 http://dx.doi.org/10.7554/eLife.52614 |
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author | Waagmeester, Andra Stupp, Gregory Burgstaller-Muehlbacher, Sebastian Good, Benjamin M Griffith, Malachi Griffith, Obi L Hanspers, Kristina 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 Thornton, Katherine Tsueng, Ginger Tu, Roger Ul-Hasan, Sabah Willighagen, Egon Wu, Chunlei Su, Andrew I |
author_facet | Waagmeester, Andra Stupp, Gregory Burgstaller-Muehlbacher, Sebastian Good, Benjamin M Griffith, Malachi Griffith, Obi L Hanspers, Kristina 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 Thornton, Katherine Tsueng, Ginger Tu, Roger Ul-Hasan, Sabah Willighagen, Egon Wu, Chunlei Su, Andrew I |
author_sort | Waagmeester, Andra |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7077981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-70779812020-03-19 Wikidata as a knowledge graph for the life sciences Waagmeester, Andra Stupp, Gregory Burgstaller-Muehlbacher, Sebastian Good, Benjamin M Griffith, Malachi Griffith, Obi L Hanspers, Kristina 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 Thornton, Katherine Tsueng, Ginger Tu, Roger Ul-Hasan, Sabah Willighagen, Egon Wu, Chunlei Su, Andrew I eLife Computational and Systems Biology 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. eLife Sciences Publications, Ltd 2020-03-17 /pmc/articles/PMC7077981/ /pubmed/32180547 http://dx.doi.org/10.7554/eLife.52614 Text en © 2020, Waagmeester et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Waagmeester, Andra Stupp, Gregory Burgstaller-Muehlbacher, Sebastian Good, Benjamin M Griffith, Malachi Griffith, Obi L Hanspers, Kristina 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 Thornton, Katherine Tsueng, Ginger Tu, Roger Ul-Hasan, Sabah Willighagen, Egon Wu, Chunlei Su, Andrew I Wikidata as a knowledge graph for the life sciences |
title | Wikidata as a knowledge graph for the life sciences |
title_full | Wikidata as a knowledge graph for the life sciences |
title_fullStr | Wikidata as a knowledge graph for the life sciences |
title_full_unstemmed | Wikidata as a knowledge graph for the life sciences |
title_short | Wikidata as a knowledge graph for the life sciences |
title_sort | wikidata as a knowledge graph for the life sciences |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077981/ https://www.ncbi.nlm.nih.gov/pubmed/32180547 http://dx.doi.org/10.7554/eLife.52614 |
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