A technique for visualizing dihedral signal of large protein sequences

Quang Vinh Nguyen, Mao Lin Huang, Yu Qian, Kang Zhang, Ebad Banissi, Muhammad Sarfraz, Mao Lin Huang

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    This paper presents a clustering and visualization technique for analyzing dihedral angles of large protein sequences. The clustering is used for discovering and grouping those similar dihedrals while the visualization can display and navigate sequences of dihedral angles of several proteins as well as their clustered property. In order to visualize a very large sequence of hundred thousands of dihedral signals, we plot them on a spiral coordinate system. This spiral visualization ensures the linear distribution without distortion or interruption of a very long sequence of points. A clustering algorithm is also provided to group those dihedral signals into different clusters so that it can enhance the analysis process. Our system can also zoom to display a number of selected proteins interactively.
    Original languageEnglish
    Title of host publicationProceedings of the 3rd International Conference on Computer Graphics, Imaging and Visualization (CGIV'06): Techniques and Applications
    PublisherIEEE Computer Society
    Number of pages1
    ISBN (Print)0769526063
    Publication statusPublished - 2006
    EventInternational Conference on Computer Graphics, Imaging and Visualization -
    Duration: 1 Jan 2006 → …

    Conference

    ConferenceInternational Conference on Computer Graphics, Imaging and Visualization
    Period1/01/06 → …

    Keywords

    • biology
    • proteins
    • data processing
    • clusters (biology)
    • information visualization
    • algorithms

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