GeneHub-GEPIS: digital expression profiling for normal and cancer tissues based on an integrated gene database

Area of Science:

• Bioinformatics
• Genomics
• Molecular Biology

Background:

• Digital gene expression analysis is crucial for understanding tissue-specific gene activity.
• Existing tools may suffer from noise due to incorrect expressed sequence tag (EST) to gene mapping.
• A comprehensive and accurate gene database is essential for reliable expression profiling.

Purpose of the Study:

• To introduce GeneHub-GEPIS, a web application for digital gene expression analysis.
• To provide a robust platform for rapid expression profiling across diverse human and mouse tissues.
• To improve the accuracy of gene expression analysis through a genome-based EST mapping approach.

Main Methods:

• Utilizes an integrated gene database (GeneHub) with pre-defined gene structures from mRNA sequences.
• Employs expressed sequence tag (EST) library information and counts for normalization.
• Links ESTs to genes using precise genomic locations determined by GMAP for accurate mapping.
• Incorporates a gene-centric design for enhanced features and data integration.

Main Results:

• GeneHub-GEPIS enables normalized gene expression level calculations across normal and tumor tissues.
• The genome-based EST mapping minimizes noise compared to previous methods.
• The application supports features like text searching, batch analysis, and microRNA expression analysis.
• Cross-references between mouse and human genes are facilitated.

Conclusions:

• GeneHub-GEPIS provides a powerful and accurate tool for digital gene expression analysis.
• The application's genome-based approach enhances the reliability of gene expression profiling.
• GeneHub-GEPIS facilitates gene discovery and comparative analysis across species.