An Advanced Strategy for Integration of Biological Measurement Data

Aiming at integration of measurement data across various biological experiments, we investigated a methodology for expanding the Phenotypic Quality Ontology (PATO), commonly used for descriptions of biological phenotypes, based on the YAMATO top-level ontology. The mapping of ontology terms from PATO to the YAMATO framework brings several benefits, including: introduction of a classification of quality values to represent measurement scales; distinction of different contexts in which comparisons of ordinal values are made; and establishment of interoperability of quality description formalisms based on different top-level ontologies. In this study, we propose an ontological basis for integrating cross-species and cross-experimental biological measurement data.

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