Digital Signal Processing Techniques for Protein-Coding Regions identification of Rheumatic Arthritis (RA) disease.

摘要

Rheumatic arthritis is a chronic disease, which disables autoimmune system and ultimately affects a person’s ability to carry out everyday tasks. The prediction of genes involved in RA is an important application in bioinformatics. In order to analyze the proteins, locations and lengths of genomic sequence plays a prominent role in predicting the exons. DSP tools have been applied in this field based on the observation that coding regions have a prominent period3 spectrum peak at frequency f=1/ 3 due to presence of codons (three nucleic acids), while noncoding regions lack such a prominent peak. This paper presents the different Digital Signal Processing techniques which approaches result in improved computational techniques for the solution of useful problems in genomic information science and technology.