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SignalViewer: analyzing microarray images.

R J Laws1, T L Bergemann, F Quiaoit

  • 1Quantitative Genetic Epidemiology, Fred Hutchinson Cancer Research Center, Seattle 98109-1024, USA.

Bioinformatics (Oxford, England)
|December 14, 2004
PubMed
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SignalViewer software facilitates exploration of microarray image data, addressing limitations in current analysis packages that require manual intervention and undisclosed assumptions. This tool enhances the accessibility and transparency of genome-wide expression profiling.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Microarray technology is standard for genome-wide expression profiling.
  • Current analysis tools often require manual input and rely on undisclosed alignment assumptions.
  • Lack of transparency in existing methods hinders data exploration and reproducibility.

Purpose of the Study:

  • To introduce SignalViewer, a novel application designed for exploring microarray image data.
  • To provide a transparent and user-friendly alternative to existing microarray analysis packages.
  • To facilitate the investigation of genome-wide expression profiles with reduced manual intervention.

Main Methods:

  • Development of SignalViewer software.
  • Focus on facilitating the exploration of raw microarray image data.

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  • Emphasis on minimizing manual intervention and undisclosed assumptions in analysis.

    • Main Results:

    • SignalViewer provides a platform for enhanced exploration of microarray image data.
    • The application aims to overcome limitations of current imaging and analysis packages.
    • Facilitates a more transparent approach to genome-wide expression profiling.

    Conclusions:

    • SignalViewer offers a valuable tool for researchers working with microarray data.
    • The application promotes greater transparency and reduces reliance on manual adjustments in analysis.
    • Enhances the ability to explore and interpret genome-wide expression profiles effectively.