Genomic Expression Archive (GEA) is recommended by Scientific Data as a public database of functional genomics data such as gene expression and epigenetics. Both microarray- and sequence-based data are accepted in the MAGE-TAB format in compliance with MIAME and MINSEQE guidelines, respectively. GEA issues accession numbers, E-GEAD-n to experiment and A-GEAD-n to array design.

GEA metadata will be indexed by EBI Omics DI