International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 124 - Number 2 |
Year of Publication: 2015 |
Authors: Sanjay Verma, Devendra Kumar Shakya |
10.5120/ijca2015905329 |
Sanjay Verma, Devendra Kumar Shakya . Detection of Protein Coding Regions using Goertzel Algorithm. International Journal of Computer Applications. 124, 2 ( August 2015), 1-4. DOI=10.5120/ijca2015905329
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.