The vast amounts of biological data present in standard repositories are the heart of bioinformatics today. This has been possibledue to the sequence alignment, microarray, etc approaches over the years. The huge biochemical networks have certain assemblies ofmodules called the reaction motifs. There are different types of such motifs in a network and it is of foremost importance to identify suchmotifs and get insights of their functions and regularities. It is also required study the intensity of occurrences of these motifs to establishcertain evolutionary and functional relationships in and amongst pathways. The inference that these motifs have been selected for functionrests on the idea that their occurrences are significantly more frequent than random. Such motifs have not only been identified in a widerange of networks across many scientific disciplines and are suggested to be the basic building blocks of most complex networks.