Detection of Protein Coding Regions using Goertzel Algorithm

Abstract

Processing and interpretation of genomic sequence by DSP (digital signal processing) tools has attracted many researchers in last two decades particularly, the protein coding regions (exons) detection have been a challenging task in bioinformatics. The three base periodicity (TBP) or period-3 property of exonic regions form basis for most researchers for identification purpose. Many DSP based model dependent and model independent techniques have been applied for identification but still improvement is needed. In this article, a simple model independent technique using Goertzel algorithms proposed for exonic regions detection. The potential of the proposed method have been evaluated on the basis of performance parameters like sensitivity, specificity and correlation coefficient and found that the proposed method provides better performance than conventional DFT methods.

Prediction of Sphingosine protein-coding regions with a self adaptive spectral rotation method

“…The coding sequences of eukaryotic genes are not continuously arranged on the DNA molecule but are separated by non-coding introns, and the synthesis of protein is guided by the coding exons. Therefore, after a given genomic sequence, it is one of the central issues in bioinformatics to correctly identify the range of protein coding region in the DNA sequence and the precise position in the genomic sequence [2, 3].…”