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A comparison of microarray databases.

M Gardiner-Garden1, T G Littlejohn

  • 1Entigen Pty Ltd, Eveleigh NSW, Australia. steve.taylor@entigen.com.au

Briefings in Bioinformatics
|July 24, 2001
PubMed
Summary
This summary is machine-generated.

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Researchers can navigate the growing landscape of microarray databases with this comparative analysis. The study categorizes systems and evaluates their features to help scientists choose the best bioinformatics tools for functional genomics research.

Area of Science:

  • Functional genomics
  • Bioinformatics
  • Data management

Background:

  • Microarray technology is a key tool in functional genomics.
  • The increasing use of microarrays has led to a proliferation of databases.
  • Researchers face challenges in selecting appropriate bioinformatics systems for microarray data.

Purpose of the Study:

  • To survey and comparatively analyze available microarray databases.
  • To aid researchers in understanding and selecting suitable bioinformatics systems.
  • To assess the current and future capabilities of microarray databases.

Main Methods:

  • Conducted a survey of currently available and upcoming microarray databases.
  • Categorized databases into local installation, public submission, and public query types.

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  • Gathered information from developers on database scope, availability, system requirements, MGED standards compliance, and analytical tools.

    • Main Results:

    • Identified and analyzed 13 specific microarray databases (AMAD, ArrayExpress, ChipDB, GeneX, GeNet, GeneDirector, GEO, GXD, mAdb, maxdSQL, NOMAD, RAD, SMD).
    • Databases were classified based on accessibility: local installation, public data submission, or public query.
    • Each database serves distinct roles catering to diverse user needs in microarray data analysis.

    Conclusions:

    • A wide array of microarray databases exists, each with unique functionalities.
    • Understanding database categories and features is crucial for effective functional genomics research.
    • The comparative analysis provides valuable insights for researchers selecting bioinformatics tools for microarray data management and analysis.