Abstract
Various biological systems are modeled according to graph-theory formalism that enables one to represent the entities of system as nodes and their relationships as edges. In general, the biological networks may be categorized as metabolic networks, gene regulatory networks, and protein–protein interactions (PPI). A common analysis for the comparison of graphs is based either on comparing their global properties, such as the clustering coefficient and node-degree distribution, or on the analysis of their internal structure, formally known as network alignment (NA). Furthermore, motif discovery has gained considerable interest because motif analysis has revealed the existence of subsequences that plays important biological roles.
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