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The Orthology Ontology: development and applications
Jesualdo Tomás Fernández-Breis1, Hirokazu Chiba2, María Del Carmen Legaz-García3
1Departamento de Informática y Sistemas, Universidad de Murcia, IMIB-Arrixaca, Murcia, 30071, Spain. jfernand@um.es.
Journal of Biomedical Semantics
|June 5, 2016
Summary
A new Orthology Ontology (ORTH) standardizes gene function and evolutionary relationships across diverse genomic databases. This enables linked data and improved computational analysis in biomedical research.
Area of Science:
- Comparative genomics
- Bioinformatics
- Evolutionary biology
Background:
- Comparative genomic analysis offers significant opportunities in biomedical research.
- Orthology analysis is crucial for understanding gene evolution and function.
- Variations in orthology databases hinder data sharing and integration.
Purpose of the Study:
- To develop a standardized framework for orthology data.
- To facilitate the creation of shareable and interoperable orthology datasets.
- To enhance the exploitation of orthology resources in biomedical research.
Main Methods:
- Construction of the Orthology Ontology (ORTH) using Web Ontology Language (OWL).
- Assessment of the ontology's quality and application to existing orthology datasets.
- Implementation of best practices in ontology development.
Main Results:
- The ORTH provides a common semantic framework for orthology content.
- Development of Linked Orthology Datasets is enabled through this standardization.
- Demonstrated feasibility of creating shareable orthology datasets.
Conclusions:
- The Orthology Ontology standardizes orthology representation, improving data sharing.
- This ontology facilitates the development of advanced tools like meta-predictors.
- Further applications of ORTH will enhance its utility in biomedical research.
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