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KeggExp: a web server for visual integration of KEGG pathways and expression profile data
Xian Liu1, Mingfei Han1, Chen Zhao1
1State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, P.R. China.
KeggExp enhances gene expression analysis by integrating pathway maps with interactive visualizations. This tool helps researchers identify key genes and pathways without needing programming skills.
Area of Science:
- Bioinformatics
- Systems Biology
- Genomics
Background:
- Effective visualization is crucial for knowledge discovery in gene expression profile analysis.
- Current tools often lack comprehensive interactive visualization for integrating expression data with KEGG pathway maps.
Purpose of the Study:
- To introduce KeggExp, a novel tool for interactive visualization of gene expression data integrated with KEGG pathways.
- To enable researchers, including those without programming expertise, to identify key genes and pathways.
Main Methods:
- KeggExp simultaneously displays pathway maps, gene dendrograms, heatmaps, and scatter plots.
- It offers interactive features for highlighting specific genes (differentially expressed, co-expressed, user-input) on pathway maps.
Main Results:
- The tool successfully integrates multiple visualization components for expression profile data.
- Interactive highlighting facilitates the identification of significant genes within pathways.
Conclusions:
- KeggExp provides an intuitive and powerful platform for analyzing gene expression data.
- Its interactive capabilities improve the process of knowledge discovery in pathway analysis.
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