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ArrayExpress: a public database of gene expression data at EBI.

Philippe Rocca-Serra1, Alvis Brazma, Helen Parkinson

  • 1EMBL Outstation-Hinxton, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom.

Comptes Rendus Biologies
|January 28, 2004
PubMed
Summary
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ArrayExpress is a public gene expression data repository utilizing the MAGE object model and MIAME standards for accurate data. It facilitates data submission and retrieval through a web interface and analysis tools.

Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Public repositories are crucial for sharing and accessing gene expression data.
  • Standardized data models and annotation requirements ensure data quality and interoperability.

Purpose of the Study:

  • To describe the ArrayExpress public repository for microarray gene expression data.
  • To outline the data submission, annotation, and retrieval processes.
  • To highlight the integration with analysis tools.

Main Methods:

  • Implementation of the MAGE object model for data structuring.
  • Adherence to the Minimum Information About a Microarray Experiment (MIAME) standard for annotation.
  • Acceptance of data via MAGE-ML files or the MIAMExpress submission tool.

Related Experiment Videos

  • Provision of a dedicated web interface for data retrieval.
  • Export functionality to the ExpressionProfiler analysis tool.

    • Main Results:

    • ArrayExpress serves as a comprehensive public repository for gene expression data.
    • Standardized data submission and annotation processes are in place.
    • Users can easily retrieve data and export it for further analysis.

    Conclusions:

    • ArrayExpress provides a valuable resource for the research community by facilitating the sharing and analysis of gene expression data.
    • The repository's adherence to standards ensures data integrity and usability.
    • Integration with analysis tools enhances the utility of the deposited data.