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ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis.

Michael Römer1, Johannes Eichner1, Andreas Dräger1,2

  • 1Department of Computer Science, University of Tübingen, Tübingen, Germany.

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|February 17, 2016
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Summary
This summary is machine-generated.

The ZBIT Bioinformatics Toolbox offers a web-based platform for easy access to bioinformatics tools, simplifying complex analyses for researchers without extensive technical expertise. This platform enhances biological research accessibility and reproducibility.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Bioinformatics software installation and usage often require specialized technical knowledge, posing a barrier to researchers.
  • Complex dependencies, lack of user-friendly interfaces, and nonstandard data formats contribute to accessibility challenges in bioinformatics tools.

Purpose of the Study:

  • To present a web-based platform, the ZBIT Bioinformatics Toolbox, for simplified access to bioinformatics software.
  • To make bioinformatics tools for systems biology, protein annotation, and expression data analysis accessible to a wider research community.

Main Methods:

  • Developed a web-based platform hosted on a customized Galaxy instance and a dedicated computation cluster.
  • Integrated tools for systems biology standards (SBML, BioPAX), transcription factor analysis, and microarray data analysis.
  • Ensured user accessibility through a web browser interface, comprehensive documentation, tutorials, and example data.

Main Results:

  • The ZBIT Bioinformatics Toolbox provides web-based access to a collection of bioinformatics tools.
  • Users can perform complex analyses by combining tools or using predefined workflows.
  • All results are stored persistently and are reproducible, enhancing research integrity.

Conclusions:

  • The ZBIT Bioinformatics Toolbox significantly lowers the technical barrier for utilizing bioinformatics software.
  • The platform facilitates complex biological data analysis for researchers lacking advanced computational skills.
  • Freely available at https://webservices.cs.uni-tuebingen.de/, the toolbox promotes broader adoption of bioinformatics in research.