CentiServer: A comprehensive resource, web-based application and R package for centrality analysis

Mahdi Jalili, Ali Salehzadeh-Yazdi, Yazdan Asgari, Seyed Shahriar Arab, Marjan Yaghmaie, Ardeshir Ghavamzadeh, Kamran Alimoghaddam

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

87 Citations (Scopus)

Résumé

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.

langue originaleAnglais
Numéro d'articlee0143111
journalPLoS ONE
Volume10
Numéro de publication11
Les DOIs
étatPublié - 1 nov. 2015
Modification externeOui

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