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Updated: May 29, 2026
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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
The BioMart interface to the eMouseAtlas gene expression database EMAGE
Peter Stevenson1, Lorna Richardson, Shanmugasundaram Venkataraman
1The Institute of Genetics and Molecular Medicine, MRC Human Genetics Unit, Western General Hospital, Edinburgh, UK. peter.stevenson@hgu.mrc.ac.uk
Database : the Journal of Biological Databases and Curation
|September 21, 2011
Summary
The eMouseAtlas gene expression database (EMAGE) now offers enhanced access through the BioMart interface. This tool simplifies complex queries for spatiotemporal gene expression data in developing mouse embryos.
Area of Science:
- Developmental Biology
- Bioinformatics
- Genomics
Background:
- The eMouseAtlas gene expression database (EMAGE) stores spatiotemporal in situ gene expression data for mouse embryos.
- Accessing and querying complex biological databases can be challenging for researchers.
Purpose of the Study:
- To introduce the BioMart interface for the EMAGE database.
- To provide a user-friendly and powerful query system for gene expression data.
- To facilitate integration with other biological databases.
Main Methods:
- Development of a BioMart interface for EMAGE.
- Implementation of a generic web query interface.
- Provision of programmable access via web services.
- Structuring data into multiple datasets for comprehensive querying.
Main Results:
- The BioMart interface offers structured access to EMAGE data.
- Users can perform complex queries familiar to existing BioMart users.
- The interface supports both interactive web queries and programmatic access.
- Federated architecture enables cross-database querying.
Conclusions:
- The BioMart interface significantly enhances accessibility to EMAGE gene expression data.
- This facilitates more efficient research into mouse embryonic development.
- The federated design promotes data integration and interoperability.
