Structural Analysis and Identification of Genomic and Proteomic Sequences Using Signal Processing Techniques

Abstract

Bioinformatics is a data rich field which provides unique opportunities to use computational techniques, to understand and to organize information associated with Bio molecules such as DNA, RNA, and Proteins. DNA sequences can be converted into RNA and then proteomic sequences using transcription and translation. First these sequences are to be translated into a “gap sequence” consisting of integer numbers. In this paper, Digital signal processing techniques such as Parametric and Non Parametric methods, filtering techniques, transformation domain methods are applied to gap sequences in order to extract gene features such as identification of protein coding DNA regions, identification of reading frames, and similarity between two genomic and proteomic sequences. Extensive experimental results are presented to demonstrate the performance of the method.