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KPP: KEGG Pathway Painter.

Ganiraju Manyam, Aybike Birerdinc, Ancha Baranova

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    Summary
    This summary is machine-generated.

    KEGG Pathway Painter (KPP) visualizes genome-wide gene expression (GE) data by mapping candidate genes to KEGG pathways. This tool offers a fast, comprehensive overview of biological interactions for high-throughput expression studies.

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    Area of Science:

    • Bioinformatics
    • Systems Biology
    • Genomics

    Background:

    • High-throughput technologies enable genome-wide gene expression (GE) analysis.
    • Functional interpretation of GE patterns often relies on public biological knowledge repositories.
    • KEGG PATHWAY database provides manually curated maps of biological interactions.

    Purpose of the Study:

    • To present a web-based graphic tool, KEGG Pathway Painter (KPP).
    • To facilitate the functional analysis of large gene sets from high-throughput expression data.

    Main Methods:

    • KPP maps candidate genes, marked as overexpressed or underexpressed, onto KEGG pathways.
    • The tool processes data from sources like microarrays and miRNA profiling.

    Main Results:

    • KPP generates a comprehensive visualization of global GE changes.
    • Candidate genes are color-coded and consolidated into KEGG pathways.

    Conclusions:

    • KPP offers rapid and comprehensive visualization of gene expression data.
    • The tool aids in understanding the functional relevance of gene expression patterns.
    • KPP is freely accessible online for research purposes.