CentiScaPe

The growing dimension and complexity of the available experimental data
generating biological networks have increased the need for tools that help in
categorizing nodes by their topological relevance. Here we present CentiScaPe, a
Cytoscape app specifically designed to calculate centrality indexes used for the
identification of the most important nodes in a network. CentiScaPe is a
comprehensive suite of algorithms dedicated to network nodes centrality analysis,
computing several centralities for undirected, directed and weighted networks.
The results of the topological analysis can be integrated with data set from lab
experiments, like expression or phosphorylation levels for each protein
represented in the network. Our app opens new perspectives in the analysis of
biological networks, since the integration of topological analysis with lab
experimental data enhance the predictive power of the bioinformatics analysis.

Biological network analysis with CentiScaPe: centralities and experimental dataset integration.

CentiScaPe is a <a href="https://bioinformaticshome.com/db/tool/Cytoscape" target="_blank">Cytoscape</a> app for topological analysis, the computation of the most important nodes within a undirected and weighted networks. See also <a href="https://apps.cytoscape.org/apps/centiscape" target="_blank rel="noopener">Cytoscape App Store</a>.

CentiScaPe

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