An advanced strategy for integration of biological measurement data
Year: 2011
Type: conference-paper
Abstract: 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.
Authors: Masuya, Hiroshi, Gkoutos, Georgios V, Tanaka, Nobuhiko, Waki, Kazunori, Okuda, Yoshihiro, Kushida, Tatsuya, Kobayashi, Norio, Doi, Koji, Kozaki, Kouji, Hoehndorf, Robert
Institutions: RIKEN, University of Cambridge, The University of Osaka
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2403440808