A Cytoscape plug-in for calculating network
centralities with numerical and graphical output
Complex biological networks, such as intracellular signaling
networks, are modeled by the evolution
to accomplish a
variety of different regulatory functions. This is achieved
by controlling the overall topology of the network which, then,
affects its dynamic behavior. Biological networks are
modular structure in which few nodes,
play a particularly relevant
topological role and this may
reflect a critical role at biological level. However, also
nodes with no or lower hub role may have critical regulatory
role in certain biological phenomena. This could reflect
node-specific topological properties. Thus, it is of
interest to categorize every nodes in a network by means of
topological parameters allowing scoring of the nodes
according to their individual topological relevance.
Computation of centrality indexes may accomplish this goal.
The centrality indexes are topological parameters allowing a
node-by-node quantification of the reciprocal relationship
between the nodes. This provides a classification of the
nodes according to their capability to influence the
function of other nodes in the network. Combination of this
analysis with experimental data (node attributes) may help
to identify critical nodes and regulatory circuits in a
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you publish result using CentiScaPe please cite:
"Analyzing biological network parameters with CentiScaPe"
Giovanni Scardoni; Michele Petterlini; Carlo Laudanna.
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