Interoperability between phenotype and anatomy ontologies.
BACKGROUND
Phenotypic information is important for the analysis of the molecular mechanisms underlying disease. A formal ontological representation of phenotypic information can help to identify, interpret and infer phenotypic traits based on experimental findings. The methods that are currently used to represent data and information about phenotypes fail to make the semantics of the phenotypic trait explicit and do not interoperate with ontologies of anatomy and other domains. Therefore, valuable resources for the analysis of phenotype studies remain unconnected and inaccessible to automated analysis and reasoning.


RESULTS
We provide a framework to formalize phenotypic descriptions and make their semantics explicit. Based on this formalization, we provide the means to integrate phenotypic descriptions with ontologies of other domains, in particular anatomy and physiology. We demonstrate how our framework leads to the capability to represent disease phenotypes, perform powerful queries that were not possible before and infer additional knowledge.


BACKGROUND
http://bioonto.de/pmwiki.php/Main/PheneOntology.
European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. rh497@cam.ac.uk
Robert
R
Hoehndorf
Anika
A
Oellrich
Dietrich
D
Rebholz-Schuhmann
D004194:Disease / Q000145:classification; D006801:Humans; D010641:Phenotype; D012660:Semantics; D018875:Vocabulary, Controlled