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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
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.
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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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