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Towards Desiderata for an Ontology of Diseases for the Annotation of Biological Datasets 17
Olivier Bodenreider; Anita Burgun.
There is a plethora of disease ontologies available, all potentially useful for the annotation of biological datasets. We define seven desirable features for such ontologies and examine whether or not these features are supported by eleven disease ontologies. The four ontologies most closely aligned with our desiderata are Disease Ontology, SNOMED CT, NCI thesaurus and UMLS.
Tipo: Presentation Palavras-chave: Bioinformatics.
Ano: 2009 URL: http://precedings.nature.com/documents/3536/version/1
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Creating a Translational Medicine Ontology 17
Christine Denney; Colin Batchelor; Olivier Bodenreider; Sam Cheng; John Hart; John Hill; John Madden; Mark Musen; Elgar Pichler; Matthias Samwald; Sándor Szalma; Lynn Schriml; David Sedlock; Larisa Soldatova; Koji Sonoda; David Statham; Holger Stenzhorn; Patricia L. Whetzel; Elizabeth Wu; Susie Stephens.
*Abstract*
We, participants in the Translational Medicine Ontology activity of the World Wide Web Consortium’s Health Care and Life Sciences Interest Group ("http://esw.w3.org/topic/HCLSIG":http://esw.w3.org/topic/HCLSIG) and members of the National Center for Biomedical Ontology ("http://bioontology.org/":http://bioontology.org/), are developing a high-level, patient-centric ontology for translational medicine which will draw on existing domain ontologies and allow the integration of data throughout the drug development process.

*Introduction*
The pharmaceutical industry has historically focused on the development of novel blockbuster drugs....
Tipo: Poster Palavras-chave: Developmental Biology; Genetics & Genomics; Immunology; Molecular Cell Biology; Neuroscience; Pharmacology; Bioinformatics.
Ano: 2009 URL: http://precedings.nature.com/documents/3686/version/1
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Desiderata for an ontology of diseases for the annotation of biological datasets. 17
Olivier Bodenreider; Anita Burgun.
There is a plethora of disease ontologies available, all potentially useful for the annotation of biological datasets. We define seven desirable features for such ontologies and examine whether or not these features are supported by eleven disease ontologies. The four ontologies most closely aligned with our desiderata are Disease Ontology, SNOMED CT, NCI thesaurus and UMLS.
Tipo: Manuscript Palavras-chave: Bioinformatics.
Ano: 2009 URL: http://precedings.nature.com/documents/3531/version/1
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