Related Experiment Video
Updated: Jun 25, 2025
14:58
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
4.2K
DExplore: An Online Tool for Detecting Differentially Expressed Genes from mRNA Microarray Experiments
Anna D Katsiki1, Pantelis E Karatzas2, Hector-Xavier De Lastic3
1Department of Biology, School of Science, National and Kapodistrian University of Athens, 15784 Athens, Greece.
Biology
|May 24, 2024
Summary
DExplore simplifies gene expression analysis from microarray data. This web application helps researchers identify significant genes and interpret results, making complex data more accessible.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Microarray experiments are crucial for gene expression analysis but are often complex.
- Existing tools may lack user-friendliness or comprehensive analysis capabilities.
Purpose of the Study:
- To introduce DExplore, a web application for user-friendly detection of differentially expressed genes from microarray data.
- To integrate functional enrichment analysis and visualization tools for improved data interpretation.
- To provide a solution for analyzing both public and unpublished microarray datasets.
Main Methods:
- Development of DExplore using R, Shiny, and Bioconductor.
- Integration of WebGestalt for functional enrichment analysis.
- Provision of visualization plots for results interpretation.
- Containerization using Docker for local execution.
Main Results:
- DExplore successfully detects differentially expressed genes from microarray data.
- Functional enrichment analysis and visualizations aid in understanding biological significance.
- The application demonstrated utility in case studies involving cancer cells and chemotherapeutic drugs.
Conclusions:
- DExplore streamlines complex microarray data analysis for molecular biologists.
- The tool enhances the ability to identify and interpret biologically significant genes.
- DExplore promotes wider accessibility to advanced gene expression analysis.
