An Evolutionary Studies of Deoxyribose Nucleic Acid (DNA) Sequences Towards Signal Processing

Electronics and Communication Engineering

Large quantities of hidden information are encoded in the DNA sequences, which are essential to the functioning of an organism In the DNA sequence, areas of importance include the following: exons; introns; genetic regions; intergenic; untranslated; translation sites; promoting regions; splicing locations; microsatellites; and minisatellites repeated many times. Included are several parts of the genome. Models that depend on and represent these features have been developed using a variety of computation methods. For model-dependent methods, prior knowledge of the data sets and higher precision are required. Model dependency means these methods can't be improved upon. Model-independent methods, on the other hand, don't need any prior knowledge or training. In many cases, the independent models rely on the fact that the DNA sequence has distinct intervals depending on where you are. Using signal processing methods, these periodicities may be identified across various genetic regions. It is called Genomic Signal Processing because it uses Signal Processing Tools for genetic data processing. This research has developed signal processing methods for locating short exons, receiver splice sites, microsatellites, and minisatellites in DNA sequences.

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