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ArrayProspector: a web resource of functional associations inferred from microarray expression data.

Lars Juhl Jensen1, Julien Lagarde, Christian von Mering

  • 1European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.

Nucleic Acids Research
|June 25, 2004
PubMed
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This study introduces a new web resource for predicting gene function using DNA microarray data. It offers over 200,000 gene associations across 12 species to aid biological research.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • DNA microarray experiments generate extensive data valuable for inferring gene function.
  • Existing methods for predicting gene functional associations from expression data often struggle with multi-dataset analysis.
  • A comprehensive, accessible resource for coexpression-based gene association predictions is currently unavailable.

Purpose of the Study:

  • To develop and present an interactive web resource for predicting gene associations.
  • To provide a comprehensive database of high-confidence gene associations derived from microarray expression data.
  • To facilitate the exploration of functional relationships between genes across multiple species.

Main Methods:

  • A novel algorithm was developed for predicting gene associations.

Related Experiment Videos

  • The algorithm was applied to all available expression data in the Stanford Microarray Database.
  • An interactive web interface was created to access and visualize the predicted gene associations.

    • Main Results:

    • A pre-computed database containing over 200,000 high-confidence gene associations was established.
    • Predictions span 12 different species, covering a broad taxonomic range.
    • The resource allows for visual inspection of each predicted gene association.

    Conclusions:

    • The developed web resource provides a valuable tool for gene function inference.
    • This resource addresses the need for a comprehensive, multi-species coexpression analysis platform.
    • The interactive nature of the tool enhances usability for researchers in genomics and bioinformatics.