• DocumentCode
    144639
  • Title

    NetCompare: A visualization tool for network alignment on Galaxy

  • Author

    Jiang Xie ; Chaojuan Xiang ; Zhonghua Zhou ; Dongbo Dai ; Huiran Zhang

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • Volume
    2
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    881
  • Lastpage
    884
  • Abstract
    Network alignment has made great progress and provides new insights into protein function. To visualize the results effectively is difficult because of the large scale network. In this paper, a simple tool named Network Compare (NetCompare) is proposed to visualize and analyze the network alignment results. Firstly, multi-hierarchical clustering method is used to cluster the large aligned networks. Secondly, at each clustering level, users can select the layout method which they prefer to display the results. NetCompare offers both the global and the local views. The global views briefly regard one subnet as one “node”, and the local views display the details including node information. When users submit the matched nodes of aligned networks, the matched subnets can be described as well. Both the clustering and the drawing processes are parallelized on GPU which offers short response time in the analysis of very huge protein interaction networks. NetCompare is implemented on the local version of Galaxy platform.
  • Keywords
    biology computing; data visualisation; graphics processing units; molecular biophysics; proteins; GPU; large scale network; multihierarchical clustering method; network alignment; network compare; protein-protein interaction networks; response time; visualization tool; Algorithm design and analysis; Bioinformatics; Clustering algorithms; Compounds; Layout; Proteins; Galaxy; Multi-Hierarchical Clustering; network alignment; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6947794
  • Filename
    6947794