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Related Experiment Video

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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enRoute: dynamic path extraction from biological pathway maps for exploring heterogeneous experimental datasets.

Christian Partl, Alexander Lex, Marc Streit

    BMC Bioinformatics
    |February 26, 2014
    PubMed
    Summary

    Visualizing biological pathways and experimental data together is challenging. enRoute visualizes specific pathway segments alongside detailed experimental data, enabling simultaneous analysis of pathway topology and node attributes for better biological insights.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Data Visualization

    Background:

    • Joint analysis of biological pathways and experimental data is crucial for understanding biological processes and sample variations.
    • Current visualization techniques struggle to simultaneously represent pathway topology and large amounts of node attributes effectively.

    Purpose of the Study:

    • Introduce enRoute, a novel technique for visualizing biological pathways and associated experimental data.
    • Enable analysts to explore complex biological datasets by linking pathway topology with detailed node attributes.

    Main Methods:

    • enRoute extracts a specified path of interest from a pathway into a separate, linked view.
    • Detailed experimental data for nodes in the extracted path is displayed adjacent to the path.
    • The technique is compatible with existing pathway map layouts and integrates data from sources like KEGG, WikiPathways, CCLE, and TCGA.

    Main Results:

    • enRoute facilitates the simultaneous investigation of heterogeneous data, addressing the challenge of joint analysis of topology and node attributes.
    • The technique supports arbitrary graph layouts, including image-based pathway maps.
    • Case studies using CCLE and hepatocellular carcinoma datasets demonstrate the utility of enRoute for domain experts.

    Conclusions:

    • enRoute provides an effective solution for the joint visualization and analysis of biological pathways and experimental data.
    • The technique enhances the ability to explore complex biological information by integrating pathway structure with rich experimental data.
    • enRoute is a valuable tool for researchers in bioinformatics and computational biology seeking to gain deeper biological understanding.