A New Approach for Identifying Protein-Coding Regions by Combining Chirp z and Wavelet Transform.

Title:A New Approach for Identifying Protein-Coding Regions by Combining Chirp z and Wavelet Transform.

Volume: 8 Issue: 5

Author(s): Suping Deng, Liyun Yuan, Kanyan Feng, Guohui Ding and Yixue Li

Affiliation:

Keywords: Chirp z transform, fourier transform, identification, period-3 pattern, protein-coding regions, wavelet transform.

Abstract: Identifying protein coding regions of DNA sequences is an important step in gene annotation. It is well-known that the protein coding regions of most genomic sequences exhibit a period-3 pattern due to non-uniform distribution of codons. In order to identify protein coding regions more efficiently, a new identification approach was proposed by combining chirp z transform and wavelet transform based on period-3 property. The identification method was applied to 17 DNA sequences of different organisms and achieved a high sensitivity (>80%) in all sequences. Demanding no prior training sets, the approach is fast and could potentially be used widely and conveniently.

Cite this article as:

Deng Suping, Yuan Liyun, Feng Kanyan, Ding Guohui and Li Yixue, A New Approach for Identifying Protein-Coding Regions by Combining Chirp z and Wavelet Transform., Current Bioinformatics 2013; 8 (5) . https://dx.doi.org/10.2174/1574893611308050006