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COVoc and COVTriage: novel resources to support literature triage

MOTIVATION: Since early 2020, the coronavirus disease 2019 (COVID-19) pandemic has confronted the biomedical community with an unprecedented challenge. The rapid spread of COVID-19 and ease of transmission seen worldwide is due to increased population flow and international trade. Front-line medical...

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Autores principales: Caucheteur, Déborah, May Pendlington, Zoë, Roncaglia, Paola, Gobeill, Julien, Mottin, Luc, Matentzoglu, Nicolas, Agosti, Donat, Osumi-Sutherland, David, Parkinson, Helen, Ruch, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825781/
https://www.ncbi.nlm.nih.gov/pubmed/36511598
http://dx.doi.org/10.1093/bioinformatics/btac800
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author Caucheteur, Déborah
May Pendlington, Zoë
Roncaglia, Paola
Gobeill, Julien
Mottin, Luc
Matentzoglu, Nicolas
Agosti, Donat
Osumi-Sutherland, David
Parkinson, Helen
Ruch, Patrick
author_facet Caucheteur, Déborah
May Pendlington, Zoë
Roncaglia, Paola
Gobeill, Julien
Mottin, Luc
Matentzoglu, Nicolas
Agosti, Donat
Osumi-Sutherland, David
Parkinson, Helen
Ruch, Patrick
author_sort Caucheteur, Déborah
collection PubMed
description MOTIVATION: Since early 2020, the coronavirus disease 2019 (COVID-19) pandemic has confronted the biomedical community with an unprecedented challenge. The rapid spread of COVID-19 and ease of transmission seen worldwide is due to increased population flow and international trade. Front-line medical care, treatment research and vaccine development also require rapid and informative interpretation of the literature and COVID-19 data produced around the world, with 177 500 papers published between January 2020 and November 2021, i.e. almost 8500 papers per month. To extract knowledge and enable interoperability across resources, we developed the COVID-19 Vocabulary (COVoc), an application ontology related to the research on this pandemic. The main objective of COVoc development was to enable seamless navigation from biomedical literature to core databases and tools of ELIXIR, a European-wide intergovernmental organization for life sciences. RESULTS: This collaborative work provided data integration into SIB Literature services, an application ontology (COVoc) and a triage service named COVTriage and based on annotation processing to search for COVID-related information across pre-defined aspects with daily updates. Thanks to its interoperability potential, COVoc lends itself to wider applications, hopefully through further connections with other novel COVID-19 ontologies as has been established with Coronavirus Infectious Disease Ontology. AVAILABILITY AND IMPLEMENTATION: The data at https://github.com/EBISPOT/covoc and the service at https://candy.hesge.ch/COVTriage.
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spelling pubmed-98257812023-01-10 COVoc and COVTriage: novel resources to support literature triage Caucheteur, Déborah May Pendlington, Zoë Roncaglia, Paola Gobeill, Julien Mottin, Luc Matentzoglu, Nicolas Agosti, Donat Osumi-Sutherland, David Parkinson, Helen Ruch, Patrick Bioinformatics Original Paper MOTIVATION: Since early 2020, the coronavirus disease 2019 (COVID-19) pandemic has confronted the biomedical community with an unprecedented challenge. The rapid spread of COVID-19 and ease of transmission seen worldwide is due to increased population flow and international trade. Front-line medical care, treatment research and vaccine development also require rapid and informative interpretation of the literature and COVID-19 data produced around the world, with 177 500 papers published between January 2020 and November 2021, i.e. almost 8500 papers per month. To extract knowledge and enable interoperability across resources, we developed the COVID-19 Vocabulary (COVoc), an application ontology related to the research on this pandemic. The main objective of COVoc development was to enable seamless navigation from biomedical literature to core databases and tools of ELIXIR, a European-wide intergovernmental organization for life sciences. RESULTS: This collaborative work provided data integration into SIB Literature services, an application ontology (COVoc) and a triage service named COVTriage and based on annotation processing to search for COVID-related information across pre-defined aspects with daily updates. Thanks to its interoperability potential, COVoc lends itself to wider applications, hopefully through further connections with other novel COVID-19 ontologies as has been established with Coronavirus Infectious Disease Ontology. AVAILABILITY AND IMPLEMENTATION: The data at https://github.com/EBISPOT/covoc and the service at https://candy.hesge.ch/COVTriage. Oxford University Press 2022-12-13 /pmc/articles/PMC9825781/ /pubmed/36511598 http://dx.doi.org/10.1093/bioinformatics/btac800 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 Original Paper
Caucheteur, Déborah
May Pendlington, Zoë
Roncaglia, Paola
Gobeill, Julien
Mottin, Luc
Matentzoglu, Nicolas
Agosti, Donat
Osumi-Sutherland, David
Parkinson, Helen
Ruch, Patrick
COVoc and COVTriage: novel resources to support literature triage
title COVoc and COVTriage: novel resources to support literature triage
title_full COVoc and COVTriage: novel resources to support literature triage
title_fullStr COVoc and COVTriage: novel resources to support literature triage
title_full_unstemmed COVoc and COVTriage: novel resources to support literature triage
title_short COVoc and COVTriage: novel resources to support literature triage
title_sort covoc and covtriage: novel resources to support literature triage
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825781/
https://www.ncbi.nlm.nih.gov/pubmed/36511598
http://dx.doi.org/10.1093/bioinformatics/btac800
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