Identification of exon location applying kaiser window and DFT techniques

Abstract

Recognition of exons in a Eukaryotic cell is an indispensable problem in Genomic Signal Processing field to determine parts of DNA sequences that carry protein information. A new hybrid approach using Kaiser window and Discrete Fourier Transform has been presented in this paper for exon location detection. Furthermore various numerical mapping schemes have been modeled and tested for locating the protein coding regions (EXONS) by exploiting the Period-3 property of the exonic regions. The resulting power spectrum density curve proves the efficacy of the algorithm. The proposed approach is simple with less computational complexity that makes it easier to be implemented on a hardware platform. Moreover the proposed approach also reveals significant results in comparison to the other existing techniques.