MGEDMicroarray Gene Expression Data
MGEDMicroarray and Gene Expression Data Society
MGEDMultidevice Graphics Editor
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MGED has foresight to deliver non-greenhouse gas emitting energy options to their customers, and they did an excellent job implementing the Community Solar Program," said Candice Michalowicz, Co-founder and Managing Member of C2 Energy Capital.
"MGED is pleased to work with developers, such as C2 Energy Capital, to increase renewable energy resources in the region," said Jacqueline Crowley, General Manager, MGED.
The accurate sample class prediction or pattern recognition is one of the most significant issues for MGED analysis.
[5] Nonstandard abbreviations: FDA, US Food and Drug Administration; NCI, National Cancer Institute; ICTRP, International Clinical Trials Registry Platform; ICMJE, International Committee of Medical Journal Editors; HUGO, Human Gene Organisation; TKI, tyrosine kinase inhibitor; CTBS, Clinical Trials Biomarkers Standards; FGED, Functional Genomics Data Society; MGED, Microarray Gene Expression Data Society; MIAME, minimum information needed to describe a microarray experiment; REMARK, Reporting recommendations for tumor MARKer; BRISQ, biospecimen reporting for improved study quality; API, application programming interface; HGNC, HUGO Gene Nomenclature Committee; HGVS, Human Genome Variation Society; regex, regular expression; RESTful, REpresentational State Transfer.
A structure such as that described by MIAME/MINTox (MGED Society 2004) would be useful for review of genomics data within the context of a drug approval submission.
Consequently, the international MGED Society proposed standards for publication (Nature 2002) that were designed to clarify the MIAME guidelines (Brazma et al.
The respective databases are based on the international standards developed by the MGED Society (Brazma et al.
Since its inception in 1999, the MGED Society has been working with the broader scientific community to establish standards for the exchange and annotation of microarray data.
These efforts obviously do not include gene expression terms or genomic and postgenomic information and may be contrasted with those efforts in the bioinformatics community to develop ontologies (MGED;, Gene Ontology (GO;, Human Genome Organisation/Proteomics Standards Initiative (HUGO/PSI; http:// where the clinical annotation of the samples (anatomy, pathology, clinical pathology) is pending.
Both the EBI ArrayExpress and NIEHS NCT CEBS database models are based on the international standards developed by the MGED Society (, including common minimal descriptors, standard data storage and exchange format, and harmonized nomenclature.
Many additional database standards are under review for use in the development of CEBS, but perhaps the most important ones are those under the purview of MGED. MGED has expert working groups on a) experimental description and data representation standards; b) microarray data extensible markup language (XML) exchange format (CEBS will use XML for data exchange); c) ontology (Karp 2000) for sample description (CEBS will follow the gene ontologies of the Gene Ontology (GO) Consortium at http:// for biological process, molecular function, and cellular component); d) normalization, quality markup control, and cross-platform comparison; and e) future user group queries, query language, data mining, all of which will provide important input for the development of CEBS.
Thus, we anticipate that the object models built by MGED in the microarray gene expression database arena also will be applicable to proteomics and metabonomics.