• DocumentCode
    3602036
  • Title

    ZoomOut: Analyzing Multiple Networks as Single Nodes

  • Author

    Athanasiadis, Emmanouil I. ; Bourdakou, Marilena M. ; Spyrou, George M.

  • Author_Institution
    Center of Syst. Biol., Acad. of Athens, Athens, Greece
  • Volume
    12
  • Issue
    5
  • fYear
    2015
  • Firstpage
    1213
  • Lastpage
    1216
  • Abstract
    We have developed ZoomOut web server in order to provide the research community with a tool for analysis, visualization and clustering of networks as a super network, based on their calculated feature properties. Networks can be analysed and be further treated as single nodes in a super network that describe their relations. Specifically, the user interface is divided into three main sections: the Workspace, the Networks Feature Calculations and the Clustering Networks section. In the Workspace section, users are able to upload and manage multiple networks for further processing. In the Networks Feature Calculations section, a variety of network properties are calculated as features for each uploaded network. In the Clustering Networks section, users are able to apply clustering by selecting from the list of previously calculated features. All processed networks can also be visualized as a super interactive network, were interconnections among networks are based on the calculated clustering distances. To the best of our knowledge, this is the first available web-service that allows users to manage, quantify and visualize multiple networks at the same time, handling them as parts of a larger network with properties calculated in an upper scale. The ZoomOut web-application is available at http://bioserver-3.bioacademy. gr/Bioserver/ZoomOut.
  • Keywords
    Web services; bioinformatics; file servers; user interfaces; Web-service; ZoomOut Web server; network feature calculations section; user interface; Bioinformatics; Breast cancer; Computational biology; Data visualization; Proteins; Clustering; Data and knowledge visualization; Feature extraction or construction; Graphs and networks; Graphs and networks.; association rules; classification; classification and association rules;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2015.2424411
  • Filename
    7096980