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The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development
BACKGROUND: Ontologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical research continuum. There is also an increasing n...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939077/ https://www.ncbi.nlm.nih.gov/pubmed/35317743 http://dx.doi.org/10.1186/s12859-022-04636-8 |
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author | Fisher, Malcolm E. Segerdell, Erik Matentzoglu, Nicolas Nenni, Mardi J. Fortriede, Joshua D. Chu, Stanley Pells, Troy J. Osumi-Sutherland, David Chaturvedi, Praneet James-Zorn, Christina Sundararaj, Nivitha Lotay, Vaneet S. Ponferrada, Virgilio Wang, Dong Zhuo Kim, Eugene Agalakov, Sergei Arshinoff, Bradley I. Karimi, Kamran Vize, Peter D. Zorn, Aaron M. |
author_facet | Fisher, Malcolm E. Segerdell, Erik Matentzoglu, Nicolas Nenni, Mardi J. Fortriede, Joshua D. Chu, Stanley Pells, Troy J. Osumi-Sutherland, David Chaturvedi, Praneet James-Zorn, Christina Sundararaj, Nivitha Lotay, Vaneet S. Ponferrada, Virgilio Wang, Dong Zhuo Kim, Eugene Agalakov, Sergei Arshinoff, Bradley I. Karimi, Kamran Vize, Peter D. Zorn, Aaron M. |
author_sort | Fisher, Malcolm E. |
collection | PubMed |
description | BACKGROUND: Ontologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical research continuum. There is also an increasing need for methods to interrelate phenotypic data easily and accurately from experiments in animal models with human development and disease. RESULTS: Here we present the Xenopus phenotype ontology (XPO) to annotate phenotypic data from experiments in Xenopus, one of the major vertebrate model organisms used to study gene function in development and disease. The XPO implements design patterns from the Unified Phenotype Ontology (uPheno), and the principles outlined by the Open Biological and Biomedical Ontologies (OBO Foundry) to maximize interoperability with other species and facilitate ongoing ontology management. Constructed in Web Ontology Language (OWL) the XPO combines the existing uPheno library of ontology design patterns with additional terms from the Xenopus Anatomy Ontology (XAO), the Phenotype and Trait Ontology (PATO) and the Gene Ontology (GO). The integration of these different ontologies into the XPO enables rich phenotypic curation, whilst the uPheno bridging axioms allows phenotypic data from Xenopus experiments to be related to phenotype data from other model organisms and human disease. Moreover, the simple post-composed uPheno design patterns facilitate ongoing XPO development as the generation of new terms and classes of terms can be substantially automated. CONCLUSIONS: The XPO serves as an example of current best practices to help overcome many of the inherent challenges in harmonizing phenotype data between different species. The XPO currently consists of approximately 22,000 terms and is being used to curate phenotypes by Xenbase, the Xenopus Model Organism Knowledgebase, forming a standardized corpus of genotype–phenotype data that can be directly related to other uPheno compliant resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04636-8. |
format | Online Article Text |
id | pubmed-8939077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89390772022-03-23 The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development Fisher, Malcolm E. Segerdell, Erik Matentzoglu, Nicolas Nenni, Mardi J. Fortriede, Joshua D. Chu, Stanley Pells, Troy J. Osumi-Sutherland, David Chaturvedi, Praneet James-Zorn, Christina Sundararaj, Nivitha Lotay, Vaneet S. Ponferrada, Virgilio Wang, Dong Zhuo Kim, Eugene Agalakov, Sergei Arshinoff, Bradley I. Karimi, Kamran Vize, Peter D. Zorn, Aaron M. BMC Bioinformatics Research BACKGROUND: Ontologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical research continuum. There is also an increasing need for methods to interrelate phenotypic data easily and accurately from experiments in animal models with human development and disease. RESULTS: Here we present the Xenopus phenotype ontology (XPO) to annotate phenotypic data from experiments in Xenopus, one of the major vertebrate model organisms used to study gene function in development and disease. The XPO implements design patterns from the Unified Phenotype Ontology (uPheno), and the principles outlined by the Open Biological and Biomedical Ontologies (OBO Foundry) to maximize interoperability with other species and facilitate ongoing ontology management. Constructed in Web Ontology Language (OWL) the XPO combines the existing uPheno library of ontology design patterns with additional terms from the Xenopus Anatomy Ontology (XAO), the Phenotype and Trait Ontology (PATO) and the Gene Ontology (GO). The integration of these different ontologies into the XPO enables rich phenotypic curation, whilst the uPheno bridging axioms allows phenotypic data from Xenopus experiments to be related to phenotype data from other model organisms and human disease. Moreover, the simple post-composed uPheno design patterns facilitate ongoing XPO development as the generation of new terms and classes of terms can be substantially automated. CONCLUSIONS: The XPO serves as an example of current best practices to help overcome many of the inherent challenges in harmonizing phenotype data between different species. The XPO currently consists of approximately 22,000 terms and is being used to curate phenotypes by Xenbase, the Xenopus Model Organism Knowledgebase, forming a standardized corpus of genotype–phenotype data that can be directly related to other uPheno compliant resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04636-8. BioMed Central 2022-03-22 /pmc/articles/PMC8939077/ /pubmed/35317743 http://dx.doi.org/10.1186/s12859-022-04636-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Fisher, Malcolm E. Segerdell, Erik Matentzoglu, Nicolas Nenni, Mardi J. Fortriede, Joshua D. Chu, Stanley Pells, Troy J. Osumi-Sutherland, David Chaturvedi, Praneet James-Zorn, Christina Sundararaj, Nivitha Lotay, Vaneet S. Ponferrada, Virgilio Wang, Dong Zhuo Kim, Eugene Agalakov, Sergei Arshinoff, Bradley I. Karimi, Kamran Vize, Peter D. Zorn, Aaron M. The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development |
title | The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development |
title_full | The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development |
title_fullStr | The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development |
title_full_unstemmed | The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development |
title_short | The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development |
title_sort | xenopus phenotype ontology: bridging model organism phenotype data to human health and development |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939077/ https://www.ncbi.nlm.nih.gov/pubmed/35317743 http://dx.doi.org/10.1186/s12859-022-04636-8 |
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