An advanced strategy for integration of biological measurement data

Hiroshi Masuya, Georgios V Gkoutos, Nobuhiko Tanaka, Kazunori Waki, Yoshihiro Okuda, Tatsuya Kushida, Norio Kobayashi, Koji Doi, Kouji Kozaki, Robert Hoehndorf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)
45 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationICBO-2011
Subtitle of host publicationProceedings of the 2nd International Conference on Biomedical Ontology
EditorsOlivier Bodenreider , Maryann E. Martone, Alan Ruttenberg
Publication statusPublished - 2011
EventInternational Conference on Biomedical Ontology 2011 - New York, Buffalo, United States
Duration: 26 Jul 201130 Jul 2011

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


ConferenceInternational Conference on Biomedical Ontology 2011
Country/TerritoryUnited States


  • Interoperability
  • top-level ontology
  • quality
  • phenotype


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