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The Ontology for Biomedical Investigations (OBI) is an open access, integrated ontology for the description of biological and clinical investigations. OBI provides a model for the design of an investigation, the protocols and instrumentation used, the materials used, the data generated and the type of analysis performed on it. The project is being developed as part of the OBO Foundry and as such adheres to all the principles therein such as orthogonal coverage (i.e. clear delineation from other foundry member ontologies) and the use of a common formal language. In OBI the common formal language used is the Web Ontology Language (OWL). As of March 2008, a pre-release version of the ontology was made available at the project's SVN repository〔(Ontology for Biomedical Investigations (OBI) | Home )〕 == Scope of the Ontology == The Ontology for Biomedical Investigations (OBI) addresses the need for controlled vocabularies to support integration and joint ("cross-omics") analysis of experimental data, a need originally identified in the transcriptomics domain by the FGED Society, which developed the MGED Ontology as an annotation resource for microarray data.〔Smith ''et al.'' (2007) Nature Biotechnology 25, 1251 - 1255 (2007)〕 OBI uses the Basic Formal Ontology〔(Basic Formal Ontology (BFO) | Home )〕 upper level ontology as a means of describing general entities that do not belong to a specific problem domain. As such, all OBI classes are a subclass of some BFO class. The ontology has the scope of modeling all biomedical investigations and as such contains ontology terms for aspects such as: *biological material - for example blood plasma *instrument (and parts of an instrument therein) - for example DNA microarray, centrifuge *information content - such as an image or a digital information entity such as an electronic medical record *design and execution of an investigation (and individual experiments therein) - for example study design, electrophoresis material separaition *data transformation (incorporating aspects such as data normalization and data analysis) - for example principal components analysis dimensionality reduction, mean calculation Less 'concrete' aspects such as the role a given entity may play in a particular scenario (for example the role of a chemical compound in an experiment) and the function of an entity (for example the digestive function of the stomach to nutriate the body) are also covered in the ontology. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Ontology for Biomedical Investigations」の詳細全文を読む スポンサード リンク
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