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Related Experiment Videos

MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data.

Scott W Doniger1, Nathan Salomonis, Kam D Dahlquist

  • 1Gladstone Institute of Cardiovascular Disease, University of California, San Francisco, CA 94141-9100, USA.

Genome Biology
|January 24, 2003
PubMed
Summary

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MAPPFinder integrates Gene Ontology (GO) annotations with GenMAPP software to create global gene-expression profiles. This tool helps researchers quickly find significant gene expression changes and explore gene relationships.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Gene expression analysis is crucial for understanding biological processes.
  • Integrating diverse biological data enhances the interpretation of gene expression patterns.
  • Existing tools may lack comprehensive integration with standardized biological ontologies.

Purpose of the Study:

  • To introduce MAPPFinder, a novel tool for generating global gene-expression profiles.
  • To facilitate the identification of over-represented gene ontology terms in expression data.
  • To enable interactive exploration and exchange of gene relationship data.

Main Methods:

  • Integration of Gene Ontology (GO) annotations with the GenMAPP software.
  • Development of a searchable browser for displaying gene-expression profiles.

Related Experiment Videos

  • Generation of GenMAPP graphical files for detailed gene relationship exploration.

    • Main Results:

    • MAPPFinder provides a comprehensive global gene-expression profile across biology.
    • The tool enables rapid identification of GO terms with significant gene-expression changes.
    • Users can explore, annotate, and exchange gene relationship data through generated graphical files.

    Conclusions:

    • MAPPFinder offers a powerful, integrated approach for analyzing gene expression data.
    • The tool enhances biological discovery by linking expression changes to functional annotations.
    • Facilitates collaborative research through the exchange of annotated gene relationship files.