We apply graph theoretic techniques to analyze the topological structure of large-scale networks, concentrating on cyclic components and pipeline connections between them

The advent of Gene-sequencing and high throughput experiments provides, with unprecendented large collection of data, the opportunity for the construction and analysis of large-scale biological networks in cell that involve thousands of different macromolecular species and biochemical reactions. The concomitant challenge has to be met with combination of tools from such diverse fields as mathematics, physics, chemistry, engineering. Here, we apply graph theoretic techniques to analyze the topological structure of large-scale networks, concentrating on cyclic components and pipeline connections between them. Our goal is to identify the functional motifs and explore how they are wired into the hierarchical modules which are a universal character and the function realizer of the robust and disparate biological behaviors. The dynamical systems theory are invoked to simplify the modules and check the consequence of sequentially piecing together the basic motifs.