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The MGED Ontology: a resource for semantics-based description of microarray experiments
Author(s) -
Patricia L. Whetzel,
Helen Parkinson,
Helen C. Causton,
Liju Fan,
Jennifer Fostel,
Gilberto Fragoso,
Laurence Gamé,
Mervi Heiskanen,
Norman Morrison,
Philippe RoccaSerra,
SusannaAssunta Sansone,
Chris Taylor,
Joseph White,
Christian J. Stoeckert
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl005
Subject(s) - computer science , ontology , annotation , microarray databases , terminology , semantics (computer science) , information retrieval , microarray analysis techniques , external data representation , ontology based data integration , data exchange , data mining , database , semantic web , artificial intelligence , programming language , biology , epistemology , philosophy , gene expression , biochemistry , linguistics , gene
The generation of large amounts of microarray data and the need to share these data bring challenges for both data management and annotation and highlights the need for standards. MIAME specifies the minimum information needed to describe a microarray experiment and the Microarray Gene Expression Object Model (MAGE-OM) and resulting MAGE-ML provide a mechanism to standardize data representation for data exchange, however a common terminology for data annotation is needed to support these standards.

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