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ArrayExpress--a public repository for microarray gene expression data at the EBI.

Alvis Brazma1, Helen Parkinson, Ugis Sarkans

  • 1European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK. brazma@ebi.ac.uk

Nucleic Acids Research
|January 10, 2003
PubMed
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ArrayExpress is a public database for gene expression data, utilizing the MIAME standard and MAGE-ML format for structured storage. It offers tools for data submission, querying, and analysis, supporting diverse microarray platforms.

Area of Science:

  • Bioinformatics
  • Genomics
  • Data Science

Background:

  • Microarray gene expression data is crucial for biological research.
  • A standardized method for data storage and retrieval is needed.
  • Existing databases may lack comprehensive annotation or platform compatibility.

Purpose of the Study:

  • To introduce ArrayExpress, a public database for gene expression data.
  • To establish a standardized repository using MIAME and MAGE-ML.
  • To provide tools for data submission, querying, and analysis.

Main Methods:

  • Development of a public database infrastructure at EBI.
  • Implementation of the Minimum Information About a Microarray Experiment (MIAME) standard.
  • Adoption of the Microarray Gene Expression Markup Language (MAGE-ML) for data exchange.

Related Experiment Videos

  • Integration of data submission tools (MIAMExpress) and an online analysis tool (Expression Profiler).

    • Main Results:

    • ArrayExpress successfully stores well-annotated microarray data from various platforms.
    • The database supports structured data submission (arrays, experiments, protocols) with accession numbers.
    • Online query interfaces and analysis tools are available for users.
    • Rapidly increasing submission volume indicates growing adoption of MAGE-ML.

    Conclusions:

    • ArrayExpress provides a valuable, standardized resource for gene expression data.
    • The database facilitates data sharing and analysis in genomics research.
    • Its infrastructure supports the growing volume of microarray data generated globally.