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Abstract

In the current years, the accumulation of Genetic Data has increased and itencouragesto formulatesome novelmethods for efficient handling of geneticinformation. This huge amount of genetic informationpresent in various data repositories can helps in studying the complex biological processes of living organisms. Gene Regulatory Network has proved to be the most promising means for analyzing the biological processes. In Gene Regulatory Network, genes act as the nodes and edges show relationship between them andanalysis of these networks eventually guides us to discover new drugs for human beings and helps to understand various biological processes at genetic level.Reconstruction refers to the method of network inference out of experimental results.In this paper we have summarized the positive aspects of GRNs and also carried out the comparative analysis of significant GRN reconstruction methods presented in the literature.

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