20971987

Source:http://linkedlifedata.com/resource/pubmed/id/20971987

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0002808, umls-concept:C0031437, umls-concept:C1518584
pubmed:issue	24
pubmed:dateCreated	2010-12-2
pubmed:abstractText	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.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9808944
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Dec
pubmed:issn	1367-4811
pubmed:author	pubmed-author:HoehndorfRobertR, pubmed-author:OellrichAnikaA, pubmed-author:Rebholz-SchuhmannDietrichD
pubmed:issnType	Electronic
pubmed:day	15
pubmed:volume	26
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	3112-8
pubmed:meshHeading	pubmed-meshheading:20971987-Disease, pubmed-meshheading:20971987-Humans, pubmed-meshheading:20971987-Phenotype, pubmed-meshheading:20971987-Semantics, pubmed-meshheading:20971987-Vocabulary, Controlled
pubmed:year	2010
pubmed:articleTitle	Interoperability between phenotype and anatomy ontologies.
pubmed:affiliation	European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. rh497@cam.ac.uk
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't