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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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PageMan: an interactive ontology tool to generate, display, and annotate overview graphs for profiling experiments.

Björn Usadel1, Axel Nagel, Dirk Steinhauser

  • 1Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam, Germany. usadel@mpimp-golm.mpg.de

BMC Bioinformatics
|December 21, 2006
PubMed
Summary

PageMan software condenses high-throughput microarray data for biological insights. This tool facilitates genome-wide expression analysis and comparison across multiple experiments, aiding in rapid biological response interpretation.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray technology is a standard biological tool, but analysis programs traditionally focus on pair-wise comparisons.
  • Large-scale microarray experiments investigating multiple conditions are increasingly common, requiring advanced analytical platforms.
  • Existing tools often lack holistic analysis, focusing on limited biological aspects rather than integrated approaches.

Purpose of the Study:

  • To introduce PageMan, a multiplatform software for annotating, investigating, and condensing high-throughput microarray data.
  • To provide a user-friendly, stand-alone tool that integrates functional ontologies with data analysis and visualization.
  • To enable efficient comparison and interpretation of complex microarray datasets.

Main Methods:

  • Development of a graphical user interface (GUI) for ontology transformation and selection.
  • Implementation of statistical modules for over-representation analysis and Wilcoxon statistical testing.
  • Export of results in graphical formats for direct use or further editing.

Main Results:

  • PageMan facilitates a fast overview of single treatments and genome-level responses across multiple experiments.
  • The software aids in analyzing trait-specific pathway changes, development time-courses, and cross-species comparisons.
  • A case study demonstrated PageMan's utility in analyzing cold stress experiments and comparing results to meta-analyses.

Conclusions:

  • PageMan efficiently condenses multiple microarray experiments into a single-page graphical display.
  • The flexible interface enables rapid data visualization and facilitates comparisons within and across experiments.
  • Researchers can gain a rapid overview of biological responses, accelerating biological discovery.