CentiServer

CentiServer provides centrality indices and computational methods to identify essential nodes in biological networks.

Key Features:

• Centrality definitions and algorithms: Over 110 centrality definitions with their associated computational methods and algorithms are documented.
• Computable centralities: Calculation of 55 distinct centrality measures is supported.
• Output formats: Computed results can be exported as comma-separated values (CSV) and Graph Modeling Language (GML) files.
• R package: Implementations of the methods are provided in the centiserve R package.

Scientific Applications:

• Identification of essential nodes: Use of centrality measures to identify essential nodes in biological networks.
• Comparative analysis of centralities: Comparison and interpretation of over 110 centrality definitions and their computational methods.

Methodology:

Computation of centrality indices using the documented computational methods and algorithms, including calculation of 55 distinct centralities, with results exportable as CSV and GML and implementations provided in the centiserve R package.