Abstract—Recently there are greater advances in bioinformatics and genomic signal processing. Digital Signal Processing (DSP) applications in genomic sequence analysis have received great attention in recent years. New methods are being developed to analyze Deoxyribonucleic acid (DNA) sequences. In order to use DSP principles to analyze DNA sequences, the DNA sequences should be converted into numeric sequences. Then the DSP algorithms are used in DNA analysis. Discrete Fourier Transform (DFT), digital filtering, Discrete wavelet transform (DWT), Parametric modeling and entreopy are some of the important DSP concepts used for DNA analysis. In this paper, we present a review of the DSP techniques used for DNA analysis. We have explained the required basics behind molecular biology. We have discussed about the applications of DSP in sequence analysis. The DSP techniques used in the literature are studied and their results are compared.

Index Terms—digital signal processing, DNA sequences, exons.


Cite: Inbamalar T M and Sivakumar R, "Study of DNA Sequence Analysis Using DSP Techniques," Jounal of Automation and Control Engineering, Vol. 1, No. 4, pp. 336-342, Dec., 2013. doi: 10.12720/joace.1.4.336-342