GExplore 1.4: An expanded web interface for queries on Caenorhabditis elegans protein and gene function

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• High-throughput genetic experiments generate vast amounts of gene data, posing challenges for analysis and prioritization.
• Previous versions of GExplore (a web-based tool) facilitated gene function data-mining for *Caenorhabditis elegans*.

Purpose of the Study:

• To describe the updated GExplore 1.4, detailing its expanded database and new functionalities for large-scale genetic data analysis.
• To enhance the usability and scope of GExplore for researchers studying gene function across multiple nematode species.

Main Methods:

• Database expansion to include proteome domain organization for 9 nematode species.
• Integration of stage-specific RNAseq gene expression data from the modENCODE project.
• Development of features to visualize mutation locations relative to protein domain organization.

Main Results:

• GExplore 1.4 now supports comparative genomics across multiple nematode species.
• The tool provides access to comprehensive gene expression data, aiding functional analysis.
• Enhanced visualization tools allow researchers to correlate mutations with protein structure and function.

Conclusions:

• GExplore 1.4 represents a significant advancement in tools for large-scale genetic data analysis.
• The updated platform facilitates deeper insights into gene function, evolutionary relationships, and mutation effects.
• The reorganized database structure ensures future scalability and data integration.