Aids detection using genomics signal processing techniques on dna

Abstract

AIDS is a most dangerous disease that is developed in the person having HIV virus. HIV stands for human immunodeficiency virus. Lakhs of people suffer from these diseases, and ultimately, they died due to AIDS. So, it is necessary to detect these diseases in an early stage. Genomics signal processing deals with advance research in genetics. So, by applying various GSP techniques, it becomes easier to predict one of the most hazardous diseases AIDS. In this paper, we have represented the binary mapping of the raw genomic data to convert into digital data and on applying the fast Fourier algorithm as well as the discrete wavelet transform in our algorithm to predict abnormalities present in the coding region of DNA of the gene of HIV infected cell. The purpose of this research is to provide an accurate prediction of HIV infected cell to the researcher’s so that the life efficiency of any patient suffering from these deadly disease increases. We have implemented the algorithm on MATLAB 2015a which consists of signal processing toolbox. The proposed algorithm is tested for several DNA sequences present in normal genes as well as HIV infected genes of Homo sapiens chromosomes available in the National Center of Biotechnology Information (NCBI) database.