CovidGraph: a graph to fight COVID-19

SUMMARY: Reliable and integrated data are prerequisites for effective research on the recent coronavirus disease 2019 (COVID-19) pandemic. The CovidGraph project integrates and connects heterogeneous COVID-19 data in a knowledge graph, referred to as ‘CovidGraph’. It provides easy access to multiple...

Descripción completa

Detalles Bibliográficos
Autores principales: Gütebier, Lea, Bleimehl, Tim, Henkel, Ron, Munro, Jamie, Müller, Sebastian, Morgner, Axel, Laenge, Jakob, Pachauer, Anke, Erdl, Alexander, Weimar, Jens, Walther Langendorf, Kirsten, Vialard, Vincent, Liebig, Thorsten, Preusse, Martin, Waltemath, Dagmar, Jarasch, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563682/
https://www.ncbi.nlm.nih.gov/pubmed/36040169
http://dx.doi.org/10.1093/bioinformatics/btac592
_version_ 1784808462480310272
author Gütebier, Lea
Bleimehl, Tim
Henkel, Ron
Munro, Jamie
Müller, Sebastian
Morgner, Axel
Laenge, Jakob
Pachauer, Anke
Erdl, Alexander
Weimar, Jens
Walther Langendorf, Kirsten
Vialard, Vincent
Liebig, Thorsten
Preusse, Martin
Waltemath, Dagmar
Jarasch, Alexander
author_facet Gütebier, Lea
Bleimehl, Tim
Henkel, Ron
Munro, Jamie
Müller, Sebastian
Morgner, Axel
Laenge, Jakob
Pachauer, Anke
Erdl, Alexander
Weimar, Jens
Walther Langendorf, Kirsten
Vialard, Vincent
Liebig, Thorsten
Preusse, Martin
Waltemath, Dagmar
Jarasch, Alexander
author_sort Gütebier, Lea
collection PubMed
description SUMMARY: Reliable and integrated data are prerequisites for effective research on the recent coronavirus disease 2019 (COVID-19) pandemic. The CovidGraph project integrates and connects heterogeneous COVID-19 data in a knowledge graph, referred to as ‘CovidGraph’. It provides easy access to multiple data sources through a single point of entry and enables flexible data exploration. AVAILABILITY AND IMPLEMENTATION: More information on CovidGraph is available from the project website: https://healthecco.org/covidgraph/. Source code and documentation are provided on GitHub: https://github.com/covidgraph. SUPPLEMENTARY INFORMATION: Supplementary data is available at Bioinformatics online.
format Online
Article
Text
id pubmed-9563682
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-95636822022-10-18 CovidGraph: a graph to fight COVID-19 Gütebier, Lea Bleimehl, Tim Henkel, Ron Munro, Jamie Müller, Sebastian Morgner, Axel Laenge, Jakob Pachauer, Anke Erdl, Alexander Weimar, Jens Walther Langendorf, Kirsten Vialard, Vincent Liebig, Thorsten Preusse, Martin Waltemath, Dagmar Jarasch, Alexander Bioinformatics Applications Notes SUMMARY: Reliable and integrated data are prerequisites for effective research on the recent coronavirus disease 2019 (COVID-19) pandemic. The CovidGraph project integrates and connects heterogeneous COVID-19 data in a knowledge graph, referred to as ‘CovidGraph’. It provides easy access to multiple data sources through a single point of entry and enables flexible data exploration. AVAILABILITY AND IMPLEMENTATION: More information on CovidGraph is available from the project website: https://healthecco.org/covidgraph/. Source code and documentation are provided on GitHub: https://github.com/covidgraph. SUPPLEMENTARY INFORMATION: Supplementary data is available at Bioinformatics online. Oxford University Press 2022-08-30 /pmc/articles/PMC9563682/ /pubmed/36040169 http://dx.doi.org/10.1093/bioinformatics/btac592 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Gütebier, Lea
Bleimehl, Tim
Henkel, Ron
Munro, Jamie
Müller, Sebastian
Morgner, Axel
Laenge, Jakob
Pachauer, Anke
Erdl, Alexander
Weimar, Jens
Walther Langendorf, Kirsten
Vialard, Vincent
Liebig, Thorsten
Preusse, Martin
Waltemath, Dagmar
Jarasch, Alexander
CovidGraph: a graph to fight COVID-19
title CovidGraph: a graph to fight COVID-19
title_full CovidGraph: a graph to fight COVID-19
title_fullStr CovidGraph: a graph to fight COVID-19
title_full_unstemmed CovidGraph: a graph to fight COVID-19
title_short CovidGraph: a graph to fight COVID-19
title_sort covidgraph: a graph to fight covid-19
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563682/
https://www.ncbi.nlm.nih.gov/pubmed/36040169
http://dx.doi.org/10.1093/bioinformatics/btac592
work_keys_str_mv AT gutebierlea covidgraphagraphtofightcovid19
AT bleimehltim covidgraphagraphtofightcovid19
AT henkelron covidgraphagraphtofightcovid19
AT munrojamie covidgraphagraphtofightcovid19
AT mullersebastian covidgraphagraphtofightcovid19
AT morgneraxel covidgraphagraphtofightcovid19
AT laengejakob covidgraphagraphtofightcovid19
AT pachaueranke covidgraphagraphtofightcovid19
AT erdlalexander covidgraphagraphtofightcovid19
AT weimarjens covidgraphagraphtofightcovid19
AT waltherlangendorfkirsten covidgraphagraphtofightcovid19
AT vialardvincent covidgraphagraphtofightcovid19
AT liebigthorsten covidgraphagraphtofightcovid19
AT preussemartin covidgraphagraphtofightcovid19
AT waltemathdagmar covidgraphagraphtofightcovid19
AT jaraschalexander covidgraphagraphtofightcovid19

Ejemplares similares