GExplore 1.5: a comprehensive Caenorhabditis elegans database for the analysis of gene function with a new
Harald Hutter1, Mehrdad Moosavi1, Nelly Mafi2
1Department of Biological Sciences, Simon Fraser University, 8888 University Drive Burnaby, BC V5A 1S6, Canada.
Database : the Journal of Biological Databases and Curation
|September 25, 2025
Summary
GExplore 1.5 is an updated online tool for exploring gene and protein functions in Caenorhabditis elegans. It features new datasets, improved display options, and a redesigned interface for large-scale data mining.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Large-scale data mining is crucial for understanding gene and protein functions.
- Caenorhabditis elegans is a key model organism in biological research.
- Existing tools may lack comprehensive datasets or user-friendly interfaces.
Purpose of the Study:
- To describe the updated GExplore 1.5 tool for exploring gene and protein function data.
- To highlight new datasets, display options, and the redesigned web interface.
- To facilitate large-scale data mining and identification of genes with specific features.
Main Methods:
- Development of GExplore 1.5 with six integrated databases: gene, mutation, protein, and three RNAseq expression databases.
- Inclusion of diverse data types: protein domains, expression profiles, phenotypes, mutations, and comparative proteomes.
- Redesign of the web-based user interface with enhanced search and interactive display functionalities.
Main Results:
- GExplore 1.5 offers comprehensive data on C. elegans gene and protein function, including over 200,000 mutations.
- The tool integrates proteome data from multiple species and detailed RNAseq expression profiles across developmental stages and tissues.
- The redesigned interface allows detailed exploration, result fine-tuning, and data download.
Conclusions:
- GExplore 1.5 provides a powerful and user-friendly platform for large-scale data mining in C. elegans.
- The tool aids in obtaining overviews of biological functions and identifying genes for further experimental analysis.
- The updated version enhances accessibility and utility for researchers in genomics and related fields.


