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Genexpi: a toolset for identifying regulons and validating gene regulatory networks using time-course expression

Martin Modrák1, Jiří Vohradský2

  • 1Institute of Microbiology of the Czech Academy of Sciences, Vídeňská, 1083, Prague, Czech Republic. martin.modrak@biomed.cas.cz.

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Genexpi identifies sigma factor regulons by integrating ChIP data or literature mining with time-course gene expression. This tool aids in gene network inference, providing biologically interpretable results for bacterial regulons.

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Area of Science:

  • Systems Biology
  • Bioinformatics

Background:

  • Identifying sigma factor regulons is crucial for gene network inference.
  • Accurate regulon identification requires integrating diverse data sources.
  • Time-series expression data and binding experiments are key for inferring regulatory networks.

Purpose of the Study:

  • To introduce Genexpi, a computational tool for identifying sigma factors and their regulons.
  • To integrate ChIP data or literature mining with time-course gene expression data for enhanced regulon identification.
  • To present CyGenexpi, a Cytoscape plugin for user-friendly visualization and analysis.

Main Methods:

  • Genexpi combines candidate sigma factors from ChIP experiments or literature mining with time-course gene expression data.
  • CyGenexpi integrates Genexpi with Cytoscape, utilizing the CyDataseries plugin for time-series data handling.
  • The tool is available as a standalone command-line application and an R package.

Main Results:

  • Genexpi successfully identifies sigma factors and their regulons by integrating multiple data types.
  • CyGenexpi provides an intuitive interface within Cytoscape for analyzing bacterial regulon data.
  • The developed tools facilitate the inference of gene regulatory networks.

Conclusions:

  • Genexpi is a valuable addition to gene network inference toolboxes.
  • The tool offers meaningful insights into regulon composition.
  • Genexpi delivers biologically interpretable results for understanding gene regulation.