The MGED Ontology: a resource for semantics-based description of microarray experiments

Motivation: 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 E...

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Bibliographic Details
Published in:	Bioinformatics Vol. 22; no. 7; pp. 866 - 873
Main Authors:	Whetzel, Patricia L., Parkinson, Helen, Causton, Helen C., Fan, Liju, Fostel, Jennifer, Fragoso, Gilberto, Game, Laurence, Heiskanen, Mervi, Morrison, Norman, Rocca-Serra, Philippe, Sansone, Susanna-Assunta, Taylor, Chris, White, Joseph, Stoeckert, Christian J.
Format:	Journal Article
Language:	English
Published:	Oxford Oxford University Press 01.04.2006 Oxford Publishing Limited (England)
Subjects:	Bioinformatics Biological and medical sciences Computational Biology - methods Computer Simulation Data management Database Management Systems Developmental stages Fundamental and applied biological sciences. Psychology Gene Expression Profiling - methods General aspects Information Storage and Retrieval - methods Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Models, Biological Oligonucleotide Array Sequence Analysis - methods Programming Languages Semantics User-Computer Interface Description Organization Ontology DNA chip Resource Information Microarray Annotation Original document Association Semantics Classification Database Bioinformatics
ISSN:	1367-4803, 1460-2059, 1367-4811
Online Access:	Get full text
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