Integrating human and murine anatomical gene expression data for improved comparisons.

Motivation: Information concerning the gene expression pattern in four dimensions (species, genes, anatomy and developmental stage) is crucial for unraveling the roles of genes through time. There are a variety of anatomical gene expression databases, but extracting information from them can be hampered by their diversity and heterogeneity.

Results: aGEM 3.

aGEM: an integrative system for analyzing spatial-temporal gene-expression information.

Motivation: The work presented here describes the 'anatomical Gene-Expression Mapping (aGEM)' Platform, a development conceived to integrate phenotypic information with the spatial and temporal distributions of genes expressed in the mouse. The aGEM Platform has been built by extending the Distributed Annotation System (DAS) protocol, which was originally designed to share genome annotations over the WWW. DAS is a client-server system in which a single client integrates information from multiple distributed servers.