A web application for gene-based queries of CaeNDR RNA-seq data.

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Gene expression variation is a fundamental aspect of biological systems.
• Wild strains of Caenorhabditis elegans exhibit significant genetic diversity.
• Understanding gene expression patterns is crucial for biological research.

Purpose of the Study:

• To develop a user-friendly web application for querying gene expression data.
• To provide access to RNA-sequencing data for 208 wild C. elegans strains.
• To facilitate research on gene expression variation in C. elegans.

Main Methods:

• Collected and processed RNA-sequencing data from 208 wild C. elegans strains.
• Developed a web application (wildworm.biosci.gatech.edu/cendrexp/) for data visualization and querying.
• Integrated data from the Caenorhabditis Natural Diversity Resource (CaeNDR).

Main Results:

• A comprehensive dataset of gene expression profiles for 208 wild C. elegans strains is now available.
• The web application allows researchers to easily search and analyze gene expression data.
• The platform enables exploration of gene expression variation across different strains.

Conclusions:

• The developed web application serves as a valuable resource for C. elegans researchers.
• It facilitates a deeper understanding of gene expression and its variation in wild strains.
• The tool supports the study of genetic diversity and its functional consequences in C. elegans.