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Centiserver: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis Publisher Pubmed



Jalili M1 ; Salehzadehyazdi A1 ; Asgari Y2 ; Arab SS2, 3 ; Yaghmaie M1 ; Ghavamzadeh A1 ; Alimoghaddam K1
Authors
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Authors Affiliations
  1. 1. Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
  3. 3. Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran

Source: PLoS ONE Published:2015


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. © 2015 Jalili et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.