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Related Experiment Video

Updated: Jun 21, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Interactive visualization of clusters in microarray data: an efficient tool for improved metabolic analysis of E.

Theresa Scharl1, Gerald Striedner, Florentina Pötschacher

  • 1Department of Biotechnology, University of Natural Resources and Applied Life Sciences, Vienna, Muthgasse 18, A-1190 Vienna, Austria. gerald.striedner@boku.ac.at.

Microbial Cell Factories
|July 17, 2009
PubMed
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gcExplorer simplifies DNA microarray data analysis by enabling interactive visualization and cluster analysis. This tool accelerates the identification and interpretation of gene expression patterns for biological insights.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • DNA microarray data analysis presents challenges for biologists and process engineers.
  • Statistical and bioinformatics support is crucial for interpreting complex datasets.
  • Software tools are needed to simplify and accelerate data analysis workflows.

Purpose of the Study:

  • To present gcExplorer, an interactive visualization toolbox for DNA microarray data analysis.
  • To demonstrate the utility of gcExplorer in interpreting E. coli microarray data from fedbatch experiments.

Main Methods:

  • Utilized cluster analysis for identifying groups of co-expressed genes.
  • Applied interactive visualization techniques for data interpretation.
  • Developed gcExplorer as a toolbox for simplified and accelerated data analysis.

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Related Experiment Videos

Last Updated: Jun 21, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Rapid Analysis and Exploration of Fluorescence Microscopy Images
11:41

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Published on: March 19, 2014

Main Results:

  • gcExplorer was applied to E. coli microarray data from two fedbatch experiments.
  • The software facilitated direct graphical comparison of experimental data.
  • Identification of gene candidates and functional groups was accelerated.

Conclusions:

  • gcExplorer provides a valuable overview of microarray experiments.
  • The tool aids in discovering and comparing gene expression patterns across experiments.
  • It allows integration of findings with external gene function databases.