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Nucleic Acids Research 2006 34(Database Issue):D637-D641; doi:10.1093/nar/gkj006
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Nucleic Acids Research, 2006, Vol. 34, Database issue D637-D641
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

EMAGE: a spatial database of gene expression patterns during mouse embryo development

Jeffrey H. Christiansen*, Yiya Yang, Shanmugasundaram Venkataraman, Lorna Richardson, Peter Stevenson, Nicholas Burton, Richard A. Baldock and Duncan R. Davidson

MRC Human Genetics Unit, Western General Hospital Crewe Road, Edinburgh, EH4 2XU, UK

*To whom correspondence should be addressed. Tel: +44 131 332 2471; Fax: +44 131 467 8456; Email: Jeff.Christiansen{at}hgu.mrc.ac.uk

Received August 10, 2005. Revised August 30, 2005. Accepted August 30, 2005.

EMAGE (http://genex.hgu.mrc.ac.uk/Emage/database) is a freely available, curated database of gene expression patterns generated by in situ techniques in the developing mouse embryo. It is unique in that it contains standardized spatial representations of the sites of gene expression for each gene, denoted against a set of virtual reference embryo models. As such, the data can be interrogated in a novel and abstract manner by using space to define a query. Accompanying the spatial representations of gene expression patterns are text descriptions of the sites of expression, which also allows searching of the data by more conventional text-based methods.


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