Abstract
Genomic sequence data are becoming prevalent in databases; however, associated phenotypic data are much more expensive and difficult to obtain. Standardized ontologies for trait classification provide a mechanism by which searches can be efficiently performed. Through standardization efforts, results can be compared across years, researchers, and locations. Examples of databases that have developed standardized ontologies within medical, animal, and plant research programs demonstrate that standardization is both possible and desirable. With standardization, genotypic and phenotypic data can be analyzed to materials for improved yield, quality, and stress tolerance.
Publisher
American Society for Horticultural Science
Cited by
3 articles.
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