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ArrayFusion: a web application for multi-dimensional analysis of CGH, SNP and microarray data.

Tsun-Po Yang1, Ting-Yu Chang, Chi-Hung Lin

  • 1Microarray and Gene Expression Analysis Core Facility, VGH National Yang-Ming University Genome Research Center, Taipei, Taiwan.

Bioinformatics (Oxford, England)
|August 29, 2006
PubMed
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ArrayFusion integrates various microarray and CGH data types into standard formats for genome browser visualization. This tool facilitates collective interpretation of diverse array results, enabling new experimental directions.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Microarray technology generates diverse data types, including cDNA, expression, exon, SNP, array-CGH, and ChIP-on-chip.
  • Conventional comparative genomic hybridization (CGH) provides valuable genomic data.
  • Integrating these diverse datasets is crucial for comprehensive analysis.

Purpose of the Study:

  • To develop a novel tool, ArrayFusion, for annotating and converting various microarray and CGH data into standardized formats.
  • To enable simultaneous visualization and collective interpretation of multiple array-based experimental results within a single genome browser.

Main Methods:

  • ArrayFusion processes data from multiple microarray platforms (cDNA, expression, exon, SNP, array-CGH, ChIP-on-chip).
  • Data is converted into standard formats compatible with genome browsers like Affymetrix Integrated Genome Browser and GBrowse.

Related Experiment Videos

  • The tool facilitates the import and simultaneous display of converted files in a single genome browser.

    • Main Results:

    • ArrayFusion successfully annotates and standardizes diverse array data types.
    • Converted data can be visualized in popular genome browsers, allowing for integrated analysis.
    • The software enables the simultaneous interpretation of results from different array experiments.

    Conclusions:

    • ArrayFusion serves as a valuable tool for integrating CGH and various microarray data.
    • It enhances the collective interpretation of diverse experimental results by enabling unified visualization.
    • The tool facilitates the exploration of new experimental directions in genomic research.