Evidence map›Paper›PMID 27259657›Full record

ArticleJournal of biomedical semantics2016

The Orthology Ontology: development and applications.

Jesualdo Tomás Fernández-Breis, Hirokazu Chiba, María Del Carmen Legaz-García, Ikuo Uchiyama

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Article in Journal of biomedical semantics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  5. Relation of theInternational journal of molecular sciences · 2019
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  7. Enabling semantic queries across federated bioinformatics databases.Database : the journal of biological databases and curation · 2019
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jesualdo Tomás Fernández-BreisDepartamento de Informática y Sistemas, Universidad de Murcia, IMIB-Arrixaca, Murcia, 30071, Spain. jfernand@um.es.
Hirokazu ChibaNational Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, 444-8585, Aichi, Japan.
María Del Carmen Legaz-GarcíaDepartamento de Informática y Sistemas, Universidad de Murcia, IMIB-Arrixaca, Murcia, 30071, Spain.
Ikuo UchiyamaNational Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, 444-8585, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputational comparative analysis of multiple genomes provides valuable opportunities to biomedical research. In particular, orthology analysis can play a central role in comparative genomics; it guides establishing evolutionary relations among genes of organisms and allows functional inference of gene products. However, the wide variations in current orthology databases necessitate the research toward the shareability of the content that is generated by different tools and stored in different structures. Exchanging the content with other research communities requires making the meaning of the content explicit. DESCRIPTION: The need for a common ontology has led to the creation of the Orthology Ontology (ORTH) following the best practices in ontology construction. Here, we describe our model and major entities of the ontology that is implemented in the Web Ontology Language (OWL), followed by the assessment of the quality of the ontology and the application of the ORTH to existing orthology datasets. This shareable ontology enables the possibility to develop Linked Orthology Datasets and a meta-predictor of orthology through standardization for the representation of orthology databases. The ORTH is freely available in OWL format to all users at http://purl.org/net/orth .

conclusionsThe Orthology Ontology can serve as a framework for the semantic standardization of orthology content and it will contribute to a better exploitation of orthology resources in biomedical research. The results demonstrate the feasibility of developing shareable datasets using this ontology. Further applications will maximize the usefulness of this ontology.

Indexed as

Gene OntologyGenomicsReference StandardsComparative genomicsKnowledge representationOntologyOrthologySemantic web

Identifiers

PMID27259657
PMCPMC4893294

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.