A Bioinformatics Approach to construct Regulatory Networks using Microarray Data

In a given cell, multiple genes coordinate to ensure the process of life. A disease is rarely a consequence of an abnormality in a single gene but reflects perturbations of the complex intracellular network (Barabási et al., 2010). Recent advancements in technology have led to the ability to measure the vast catalogues of expression of thousands of genes and transcription factors, simultaneously. The discovery of microarray technique was a major milestone which has revolutionised current research and diagnostics. It has generated a large amount of freely available information, opening the door to a postgenome era. Microarray rapidly uncovers the broad patterns of genetic activity and shows insight into gene function, processes and pathways which allow Insilco research and further mining of available data. The emerging tools of network offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also molecular relationships between apparently distinct phenotypes (Barabási et al., 2010). In this paper, we propose a pipeline to assess the possibility of identifying diseasemarker genes and potent drug targets.