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JNets: Exploring networks by integrating annotation

  • Jamie I. MacPherson
  • , John W. Pinney
  • , David L. Robertson

    Research output: Contribution to journal › Article › peer-review

    Abstract

    Background: A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published network visualizations are static representations that do not support user interaction. Results: JNets was designed as a network visualization tool that incorporates annotation to explore the underlying features of interaction networks. The software is available as an application and a configurable applet that can provide a flexible and dynamic online interface to many types of network data. As a case study, we use JNets to investigate approved drug targets present within the HIV-1 Human protein interaction network. Our software highlights the intricate influence that HIV-1 has on the host immune response. Conclusion: JNets is a software tool that allows interaction networks to be visualized and studied remotely, from within a standard web page. Therefore, using this free software, network data can be presented in an enhanced, interactive format. More information about JNets is available at http://www.manchester.ac.uk/bioinformatics/jnets. © 2009 MacPherson et al; licensee BioMed Central Ltd.
    Original languageEnglish
    Article number95
    JournalBMC Bioinformatics
    Volume10
    DOIs
    Publication statusPublished - 26 Mar 2009

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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