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, Shigeharu Wakana, Tetsuro Toyoda, Riichiro Mizoguchi

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations


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 (US)
Pages (from-to)79-86
Number of pages8
JournalCEUR Workshop Proceedings
StatePublished - 2011
Externally publishedYes
Event2nd International Conference on Biomedical Ontology, ICBO 2011 - Buffalo, NY, United States
Duration: Jul 26 2011Jul 30 2011


  • Interoperability
  • Phenotype
  • Quality
  • Top-level ontology

ASJC Scopus subject areas

  • General Computer Science


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