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AVA: visual analysis of gene expression microarray data.

Yihua Zhou1, Jingdong Liu

  • 1Bioinformatics, Monsanto Company, 800 North Lindbergh Blvd, St. Louis, MO 63167, USA. yihua-zhou2@monsanto.com

Bioinformatics (Oxford, England)
|January 23, 2003
PubMed
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The Array Visual Analyzer (AVA) is a Java program for visualizing and analyzing gene expression microarray data. AVA integrates normalization, quality assessment, and data mining into a single application.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Gene expression microarray data analysis presents challenges in integration and visualization.
  • Existing tools may lack comprehensive features for normalization, quality assessment, and data mining.

Purpose of the Study:

  • To introduce the Array Visual Analyzer (AVA), a Java program designed for comprehensive microarray data analysis.
  • To provide a unified graphical environment for visualization and analysis of gene expression data.

Main Methods:

  • Development of a Java-based program, AVA, featuring a graphical user interface.
  • Integration of interactive visualization tools.
  • Implementation of built-in data analysis and filtration methods, including normalization and quality assessment.

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Main Results:

  • AVA offers a user-friendly graphical environment for complex microarray data analysis.
  • The software effectively combines data normalization, quality assessment, and data mining functionalities.
  • Interactive visualization aids in the exploration and interpretation of gene expression patterns.

Conclusions:

  • AVA provides an integrated solution for gene expression microarray data analysis.
  • The program enhances the efficiency of data normalization, quality assessment, and data mining.
  • AVA is a valuable tool for researchers working with microarray data.