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Genomic Signal Processing


Advanced techniques from the processing of brain signals may be helpful in the analysis of the DNA signals. Towards this goal, since 2002, we collaborated with Dr. Spanias (Electrical Engineering, ASU) and TGen Inc. (Phoenix) for the application of modern signal processing techniques to the identification of exons and introns of genes in long DNA sequences from prokaryotic and eukaryotic cells. Entropy-based methods from information theory and nonlinear dynamics (Kolmogorov entropy, Transfer entropy, Lyapunov exponents and Cross-Lyapunov exponents), that are used to characterize our EEG signals, will be implemented to provide enhanced similarity measures between different DNA segments.