• DocumentCode
    2949861
  • Title

    CytoMCL: A Cytoscape plugin for fast clustering of protein interaction networks

  • Author

    Guzzi, Pietro H. ; Cannataro, Mario

  • Author_Institution
    Dept. of Med. & Surg. Sci., Univ. of Catanzaro, Catanzaro, Italy
  • fYear
    2012
  • fDate
    20-22 June 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The analysis of the whole set of molecular interactions in an organism, often referred to as interaction networks, is becoming an important research area. A main approach for such analysis resides on the application of clustering techniques to such networks. The meaning of discovered clusters, (i.e. highly interconnected regions), is strictly related to the type of networks. For instance in protein-protein interaction networks clusters may represent protein complexes. The Markov Clustering Algorithm (MCL) is a wellknown algorithm for clustering graphs. It does not provide a graphical user interface and cannot be used in the Cytoscape platform. We present CytoMCL a Cytoscape plugin that finds clusters in a graph by using MCL. It is based on an intuitive interface it is able to load a network from Cytoscape, to analyze it and to visualize resulting clusters into Cytoscape.
  • Keywords
    Markov processes; biology computing; data visualisation; pattern clustering; proteins; user interfaces; CytoMCL; Markov clustering algorithm; clustering techniques; cytoscape plugin; fast protein interaction networks clustering; intuitive interface; molecular interactions; protein-protein interaction networks clusters; resulting cluster visualization; Algorithm design and analysis; Bioinformatics; Clustering algorithms; Markov processes; Prediction algorithms; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on
  • Conference_Location
    Rome
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4673-2049-8
  • Type

    conf

  • DOI
    10.1109/CBMS.2012.6266325
  • Filename
    6266325