Messenger RNA Approach for Identifying Inter-nucleotide Signals using Genomic Sequences

Abstract

The inter-nucleotide signals are a novel way of genomic signal representation of genomic data which is seen to have a discriminatory capability in highlighting the promoter region of gene sequences. The results of applying DFT to in genomic sequence signals that they can discriminate using messenger RNA for identifying inter nucleotide sequences. Genomic Signal Processing (GSP) applications in bioinformatics research have received great attention in recent years, where new effective methods for genomic sequence analysis, such as the detection of converting the genomic sequences into signals have been developed. The use of GSP principles to analyze genomic sequences that requires defining an adequate representation of the nucleotide by numerical values, converting the nucleotide sequences into nucleotide signals. In this paper we present an approach of GSP algorithm which is used in conversion of genomic sequences into signals and also calculating the peaks at coding regions this article also shows the comparative study at the different peaks at a certain elapsed time. The position of these peaks helps in identifying the motifs and the functional behavior of a gene for identifying the Bio Marker selection using a discrete Fourier transform approach