Identification of olfactory receptors using a parametric model

Human nose can smell number of chemicals having distinct odors. These odor molecules are detected by the olfactory receptors. Olfactory Receptors (ORs) have a large family of mouse, rat, human, chimpanzee, earthworm, dog, etc. As there are number of families of distinct species, the mouse OR genes are identified to work upon, because restricted amount of work has been done using this species. In this paper, OR family of mouse and human has been studied by using quantification of Barcode matrix, DNA walk and Haar wavelet coefficients. These parameters have been studied for the proper understanding of their DNA sequences, to know the difference between intricate sequences of DNA and to know the hidden symmetries between the DNA sequences. Subsequently, clustering method is applied after knowing the quantitative results. Then a proper study has been done for the clustering results to examine the mouse OR. Using this proposed model, a probable justification or deterministic nullification can be given that whether a given sequence of DNA string composed of nucleotides is a probable mouse OR or not.