| Paper: | BIO-L2.4 | ||
| Session: | Bioinformatics and Genomics | ||
| Time: | Friday, May 19, 11:00 - 11:20 | ||
| Presentation: | Lecture | ||
| Topic: | Bio Imaging and Signal Processing: Bioinformatics, genomics, and proteomics | ||
| Title: | Gene Identification Using the Z-Curve Representation | ||
| Authors: | Ahmad Rushdi, Jamal Tuqan, University of California, Davis, United States | ||
| 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. | ||
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