MicroArray Gene Expression Markup Language 바이오 데이터 표준을 구현한 유전체 발현정보 데이터베이스 구축
Development of Microarray Gene Expression Database for MicroArray Gene Expression Markup Language
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Abstract
Objective:Gene expression microarrays become a widely used tool in biomedicine. With growing needs of microarray data sharing, there are efforts for the development of microarray standards. MAGE-OM(Microarray Gene Expression Object Model) is a data exchange model and MAGE-ML is an XML-based data exchange format. Most database, however, do not have a suitable structure for MAGE-ML storage and maximum use of the data. Therefore, we have created relational database implementing MAGE-OM for the storage of MAGE-ML with importing and exporting capabilities. Methods:A relational schema is derived from MAGE-OM with simple object-relational mapping strategy to reduce complexity of MAGE-OM. Data transfer between database and MAGE-ML document is performed via MAGE-OM using the MAGE Software Toolkit(MAGEstk). Results:Our database accepts microarray data as MAGE-ML files through web-based interface, classifying into two types of submission, array or experiment. MAGE-ML import-export function is flexible to accommodate changing data model by separating model definition and implementation layers. Conclusion:Standard-based implementation of gene expression database enhances the collection and the structured storage of large-scale gene expression data from heterogeneous data sources.
참고문헌 (12)
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