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EMAGE mouse embryo spatial gene expression database: 2010 update.

Lorna Richardson¹, Shanmugasundaram Venkataraman, Peter Stevenson

¹MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK.

Nucleic Acids Research

|September 22, 2009

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The EMAGE database now offers enhanced features for exploring mouse embryo gene expression patterns. These updates improve data accessibility and integration, aiding developmental biology research.

Area of Science:

Developmental Biology
Bioinformatics
Genomics

Background:

EMAGE is a database for in situ gene expression patterns in developing mouse embryos.
It integrates gene expression data into 3D virtual embryos for spatial analysis.
Anatomy ontology enables text-based querying of expression sites.

Purpose of the Study:

To describe recent enhancements to the EMAGE database.
To improve data integration, accessibility, and search functionalities.
To expand data coverage and incorporate new datasets.

Main Methods:

Redesigned website with integrated search functions and improved user feedback.
Backend refactoring to a relational architecture with SQL access.
Development of automated spatial data annotation methods.

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Main Results:

New website offers enhanced search capabilities and similar pattern identification.
Relational architecture and Java API improve data access.
Increased data coverage and incorporation of the EURExpress dataset.

Conclusions:

Recent enhancements significantly improve EMAGE's utility for researchers.
The database provides powerful tools for spatial and text-based interrogation of gene expression data.
Expanded data and improved accessibility facilitate comprehensive developmental studies.