ArticleJournal of biomedical semantics2016
The Orthology Ontology: development and applications.
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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Who cites it
12 citing papers in PubMed.
- Federated SPARQL query performance evaluation for exploring disease model mouse: combining gene expression, orthology, and disease knowledge graphs.BMC medical informatics and decision making · 2025Article
- Ten Years of Collaborative Progress in the Quest for Orthologs.Molecular biology and evolution · 2021Article
- The Quest for Orthologs benchmark service and consensus calls in 2020.Nucleic acids research · 2020Article
- BioHackathon 2015: Semantics of data for life sciences and reproducible research.F1000Research · 2020Article
- Relation of theInternational journal of molecular sciences · 2019Article
- MBGD update 2018: microbial genome database based on hierarchical orthology relations covering closely related and distantly related comparisons.Nucleic acids research · 2019Article
- Enabling semantic queries across federated bioinformatics databases.Database : the journal of biological databases and curation · 2019Article
- Ontological and Non-Ontological Resources for Associating Medical Dictionary for Regulatory Activities Terms to SNOMED Clinical Terms With Semantic Properties.Frontiers in pharmacology · 2019Article
- A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL.F1000Research · 2019Article
- Design and Construction of a NLP Based Knowledge Extraction Methodology in the Medical Domain Applied to Clinical Information.Healthcare informatics research · 2018Article
- Gearing up to handle the mosaic nature of life in the quest for orthologs.Bioinformatics (Oxford, England) · 2018Article
- The OMA orthology database in 2018: retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces.Nucleic acids research · 2018Article
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4 authors.
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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.
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