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PLoS One. 2015 Nov 16;10(11):e0143111. doi: 10.1371/journal.pone.0143111. eCollection 2015.

CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis.

Author information

1
Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran.
2
School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
3
Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.

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/.

PMID:
26571275
PMCID:
PMC4646361
DOI:
10.1371/journal.pone.0143111
[Indexed for MEDLINE]
Free PMC Article

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