Title :
Gene Identification Using the Z-Curve Representation
Author :
Rushdi, Ahmad ; Tuqan, Jamal
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA
Abstract :
DSP based techniques have been recently proposed to identify the protein coding regions in a DNA strand by detecting the so-called period-3 component in the DNA spectrum. The DNA spectrum is computed after mapping the DNA symbolic sequence to numerical digital sequences. A typical choice of mapping is the Voss representation. In this paper, we propose the use of a more elaborate mapping scheme, namely the Z-curve representation. Using a multirate signal processing approach, we derive closed form expressions to compute the Z-curve based DNA spectrum as well as mathematical conditions that characterize the coding regions. The derived formulas also prove that the Z-curve representation yields essentially the same DNA spectrum as the one obtained using the Voss representation at a lower computational cost
Keywords :
DNA; biological techniques; biology computing; encoding; genetic engineering; matrix algebra; proteins; signal representation; DNA spectrum; DNA strand; DNA symbolic sequence; DSP based techniques; Voss representation; Z-curve representation; elaborate mapping scheme; gene identification; multirate signal processing approach; numerical digital sequences; period-3 component; protein coding regions; Bioinformatics; Biomedical signal processing; Computational efficiency; DNA computing; Digital signal processing; Genomics; Protein engineering; Sequences; Signal mapping; Signal processing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660520