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TimeView: for comparative gene expression analysis.

Mugdha Gadgil1, Sarika Mehra, Vivek Kapur

  • 1Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, USA.

Applied Bioinformatics
|March 17, 2006
PubMed
Summary
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TimeView is a new MATLAB program for comparing temporal gene expression datasets from microarray experiments. It enhances data visualization by displaying numerous gene profiles simultaneously for better analysis.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray experiments generate complex temporal datasets.
  • Analyzing temporal gene expression profiles across multiple conditions is challenging.
  • Existing software lacks efficient comparison and visualization tools.

Purpose of the Study:

  • To develop a program for comparing and visualizing temporal gene expression data.
  • To address the limitations of current bioinformatics tools for microarray analysis.
  • To facilitate the study of cellular responses over time.

Main Methods:

  • Developed TimeView, a MATLAB-based program.
  • Implemented features for comparing multiple temporal datasets.
  • Integrated enhanced data visualization capabilities.

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Main Results:

  • TimeView enables efficient comparison of temporal gene expression profiles.
  • The program visualizes a large number of gene expression profiles on a single screen.
  • Facilitates the analysis of temporal variations in cellular responses.

Conclusions:

  • TimeView provides a valuable tool for researchers analyzing temporal microarray data.
  • The program enhances the efficiency and clarity of gene expression profile comparison and visualization.
  • It supports the investigation of dynamic biological processes.