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Paper   IPM / Biological Sciences / 14133
School of Biological Sciences
  Title:   CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis
  Author(s): 
1.  M. Jalili.
2.  A. Salehzadeh-Yazdi.
3.  Y. Asgari.
4.  S. Arab.
5.  M. Yaghmaie.
6.  A. Ghavamzadeh.
7.  K. Alimoghaddam.
  Status:   Published
  Journal: Plos One
  Vol.:  10(11) - doi:10.1371/ journal.pone.0143111
  Year:  2015
  Supported by:  IPM
  Abstract:
Various disciplines are trying to solve one of the most noteworthy queries and broadly used concepts in biology, essentiality. Centrality is a primary index and a promising method for identifying essential nodes, particularly in biological networks. The newly created CentiServer is a comprehensive online resource that provides over 110 definitions of different centrality indices, their computational methods, and algorithms in the form of an encyclopedia. In addition, CentiServer allows users to calculate 55 centralities with the help of an interactive web-based application tool and provides a numerical result as a comma separated value (csv) file format or a mapped graphical format as a graph modeling language (GML) file. The standalone version of this application has been developed in the form of an R package. The web-based application (CentiServer) and R package (centiserve) are freely available at http://www.centiserver.org/

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