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06:58
Collection and Extraction of Saliva DNA for Next Generation Sequencing
Published on: August 27, 2014
Saliva Ontology: an ontology-based framework for a Salivaomics Knowledge Base
Jiye Ai1, Barry Smith, David T Wong
1University of California at Los Angeles School of Dentistry, University of California, Los Angeles, CA 90095-1668, USA.
BMC Bioinformatics
|June 8, 2010
Summary
The Saliva Ontology (SALO) provides a standardized vocabulary for salivaomics research. This computational infrastructure enhances data integration and analysis for biomarker discovery and diagnostics.
Area of Science:
- Biomedical Informatics
- Oral Biology
- Genomics
Background:
- The Salivaomics Knowledge Base (SKB) is a computational infrastructure for exploring salivaomics data.
- SKB integrates UCLA's biomarker resources with Open Biomedical Ontologies (OBO) Foundry resources.
- A new Saliva Ontology (SALO) was developed as part of this initiative.
Purpose of the Study:
- To define the Saliva Ontology (SALO) as a controlled vocabulary for salivaomics.
- To facilitate the global exploration and utilization of salivaomics data.
- To support saliva-related diagnostics and biomarker discovery.
Main Methods:
- Developed SALO following OBO Foundry principles.
- Integrated SALO with existing saliva biomarker discovery and validation resources at UCLA.
- Utilized a consensus-based approach for vocabulary development.
Main Results:
- Defined SALO as a consensus-based controlled vocabulary for the salivaomics domain.
- SALO includes terms and relations specific to salivaomics and diagnostics.
- SALO adheres to the established principles of the OBO Foundry.
Conclusions:
- SALO is an ongoing initiative to standardize salivaomics data.
- The ontology will improve data retrieval, integration, analysis, and mining.
- SALO will be validated by annotating salivaomics research literature for SKB.
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