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