CoExpNetViz: Comparative Co-Expression Networks Construction and Visualization Tool.

Area of Science:

• Plant genomics
• Bioinformatics
• Functional gene discovery

Background:

• Comparative transcriptomics identifies conserved gene functions across related plant species.
• Existing tools are often limited to model organisms and unpublished data.
• There is a need for flexible tools supporting multi-species co-expression network analysis.

Purpose of the Study:

• Introduce CoExpNetViz, a novel computational tool for comparative co-expression analysis in plants.
• Enable researchers to utilize their own gene expression datasets for cross-species network generation.
• Facilitate functional gene discovery through conserved co-expression patterns.

Main Methods:

• CoExpNetViz accepts user-defined "bait" genes and pre-processed gene expression datasets.
• Calculates co-expression values using mutual information and Pearson correlation coefficients.
• Groups orthologous genes across species and visualizes results as networks in Cytoscape.

Main Results:

• CoExpNetViz provides a computational framework for multi-species co-expression analysis.
• The tool generates visualizable network graphs of conserved gene co-expression patterns.
• Successfully integrates user-submitted unpublished gene expression data.

Conclusions:

• CoExpNetViz enhances functional gene discovery by enabling comparative transcriptomics.
• The tool overcomes limitations of existing pipelines by supporting diverse datasets and species.
• CoExpNetViz is a valuable resource for plant researchers seeking to understand gene function and regulation.