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

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CentiServer is a new online resource offering over 110 definitions and computational methods for biological network centrality indices. It enables users to calculate 55 centralities via a web tool or R package.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Network Science

Background:

  • Essentiality is a key concept in biology, crucial for understanding biological networks.
  • Centrality indices are vital for identifying essential nodes within these networks.
  • A comprehensive resource for centrality indices and their computation was lacking.

Purpose of the Study:

  • To introduce CentiServer, a novel online resource for biological network centrality.
  • To provide an encyclopedic collection of centrality index definitions and algorithms.
  • To offer a practical tool for calculating various centrality measures.

Main Methods:

  • Developed CentiServer as a web-based application and an R package (centiserve).
  • Integrated over 110 definitions of centrality indices with their computational methods.
  • Implemented an interactive tool for calculating 55 different centrality measures.

Main Results:

  • CentiServer provides a comprehensive encyclopedia of centrality indices.
  • Users can compute 55 centralities through the web application.
  • Results are available as downloadable CSV or GML files.

Conclusions:

  • CentiServer serves as a valuable and accessible resource for researchers in biology and bioinformatics.
  • The integrated tool facilitates the analysis of biological networks through centrality calculations.
  • Both the web application and R package are freely available for widespread use.