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Related Experiment Videos

Dynamic integration of gene annotation and its application to microarray analysis.

Heng Dai1, Bin Tian, Wei D Zhao

  • 1Department of Bioinformatics and Genomics Technology, Johnson & Johnson Pharmaceutical Research and Development, 3210 Merryfield Row, San Diego, California 92121, USA. hdai1@prdus.jnj.com

Journal of Bioinformatics and Computational Biology
|August 4, 2004
PubMed
Summary
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GeneView offers comprehensive, categorized gene annotations for microarray analysis. This system improves data interpretation by integrating diverse gene information, overcoming limitations of current methods.

Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Microarray gene expression data interpretation relies on comprehensive gene annotations.
  • Current annotations are often fragmented, outdated, and unsuitable for large-scale analysis, limiting biological insights.
  • Manual annotation is impractical for the hundreds of genes typically analyzed.

Purpose of the Study:

  • To develop an automated system, GeneView, for comprehensive and categorized gene annotation.
  • To address the limitations of existing meta-databases in providing simultaneous, categorized annotations for numerous genes.
  • To enhance the interpretation of microarray gene expression data.

Main Methods:

  • Developed the GeneView system with four components: relational database, data processing, user curation, and data query.

Related Experiment Videos

  • Automated monitoring of diverse data sources for gene information updates.
  • Integrated extracted gene information into a central database, categorized by pathway, mapping, phenotype, expression, domains, interactions, diseases, and references.
  • Evaluated system performance using cDNA and Affymetrix Oligo chips.

    • Main Results:

    • GeneView provided more accurate and comprehensive gene information compared to vendor or user-provided data.
    • Successfully integrated and categorized annotations for hundreds of genes simultaneously.
    • Facilitated the identification of novel common functions among genes within the same expression clusters.
    • Demonstrated improved interpretation of microarray gene expression data.

    Conclusions:

    • The GeneView system effectively automates the generation of comprehensive, categorized gene annotations.
    • This automated approach significantly enhances the interpretation of microarray gene expression data.
    • GeneView is a valuable tool for researchers needing detailed and integrated gene information for large-scale analyses.