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Biomedical research once involved building complex theories upon relatively small amounts of experimental data. The field of bioinformatics has posed many computational problems (bioinformatics can be broadly defined as the interface between biology and computational sciences). The field has stimulated synergetic research and development of state-of-the-art techniques in the areas of data mining, statistics, imaging/pattern analysis, and visualization. By applying these techniques to gene and protein sequence information embedded in biological systems. Signal processing (SP) techniques have been applied most everywhere in bioinformatics and will continue to play an important role in the study of biomedical problems. The goal of this article is to demonstrate to the SP community the potential of SP tools in uncovering complex biological phenomena.