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The JigCell model builder: a spreadsheet interface for creating biochemical reaction network models.

Marc T Vass1, Clifford A Shaffer, Naren Ramakrishnan

  • 1Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0106, USA. mvass@vt.edu

IEEE/ACM Transactions on Computational Biology and Bioinformatics
|October 20, 2006
PubMed
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Building biochemical reaction models is simplified with the JigCell Model Builder. Its spreadsheet interface reduces errors and improves model viewing efficiency compared to other methods.

Area of Science:

  • Systems Biology
  • Computational Biology
  • Biochemical Modeling

Background:

  • Converting biochemical reaction networks into kinetic rate equations is complex and prone to errors.
  • Existing methods for modeling intracellular regulatory networks include graphical layouts, wizards, scripting languages, and direct equation entry.

Purpose of the Study:

  • To introduce the JigCell Model Builder, a tool that simplifies the creation of biochemical models.
  • To evaluate the usability and effectiveness of different modeling interface paradigms.

Main Methods:

  • The JigCell Model Builder utilizes a spreadsheet interface for defining reaction equations.
  • Usability studies were conducted comparing the spreadsheet method with other paradigms (graphical, wizard, scripting).
  • Metrics included error rates, data entry time, mouse clicks, keystrokes, and model viewing screen count.

Related Experiment Videos

Main Results:

  • The spreadsheet interface significantly reduced errors in model creation compared to manual conversion from diagrams.
  • Data entry times were comparable across all four interface paradigms.
  • Spreadsheet and scripting language interfaces required fewer screens for model viewing than wizard or graphical interfaces.

Conclusions:

  • The JigCell Model Builder, using a spreadsheet interface, offers an effective and less error-prone method for creating biochemical models.
  • Spreadsheet and scripting approaches enhance model accessibility and review by minimizing the number of screens required.