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Related Experiment Videos

The ArrayExpress gene expression database: a software engineering and implementation perspective.

Ugis Sarkans1, Helen Parkinson, Gonzalo Garcia Lara

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

Bioinformatics (Oxford, England)
|November 27, 2004
PubMed
Summary

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This summary is machine-generated.

ArrayExpress provides a robust solution for managing microarray data, addressing a critical need in life sciences. This public repository facilitates the storage, access, and sharing of high-throughput experimental data.

Area of Science:

  • Bioinformatics
  • Genomics
  • Data Management

Background:

  • Life sciences laboratories face challenges with microarray data management systems.
  • Developing public repositories like ArrayExpress requires novel software engineering solutions.
  • Experience gained is valuable for bioinformaticians developing high-throughput data information systems.

Purpose of the Study:

  • To present the development and success of the ArrayExpress public repository for microarray data.
  • To demonstrate effective solutions for managing and sharing high-throughput biological data.

Main Methods:

  • Development of a public repository for microarray data (ArrayExpress).
  • Implementation of novel software engineering solutions for data storage and access.

Related Experiment Videos

  • Utilizing an open-source software model.
  • Main Results:

    • ArrayExpress has been operational since February 2002.
    • The database has experienced exponential growth, exceeding 10,000 hybridizations by September 2004.
    • The chosen design and implementation effectively support storage, access, and sharing of high-throughput data.

    Conclusions:

    • The ArrayExpress database provides a functional and scalable solution for microarray data management.
    • The system's design is proven effective for handling large-scale, high-throughput biological data.
    • Open-source availability promotes broader adoption and utility in the scientific community.