Analysis Of Gene Sequences Model Based On The SAS System

Bioinformatics is a discipline which is the use of mathematical and information science point of view, theories and methods to the computer as a tool for bioinformation question, processing, storage, distribution, analysis and interpretation. It is a combination of mathematics, biology, medicine, computer science and physics and other disciplines. As an important mathematical statistics method, SAS system has a great role in bioinformatics, including cluster analysis, discriminate analysis, principal component analysis and time series models to the more widely used in bioinformatics. The study of bioinformatics by SAS system provides a broader methods and ideas.The main contents are listed as follows:1. According to the evolution of xylanase molecules, so as to xylanase molecule in amino acid content of several important variables, design a time series of experiments carried out using the ARIMA model for the analysis and prediction of amino acid content, detailed description of the modeling steps, and introduced a prerequisite for modeling and parameter selection, has been chosen evolutionary trends of amino acids, through the analysis of graphics to illustrate the evolution of its content in various stages of change, derived xylanase stability characteristics of the evolution of two families and the two families of glycine in the evolution of differences. The results of this can be extended to the issues of the synonymous codon in the two families.2. This paper use the clustering analysis of the acute hemorrhagic conjunctivitis virus, cause the disease tested positive for the pathogen of a variety of pathogens, the classical model of protein HP-based classification of amino acids to the main process CLUSTER, respectively WARD method and center of gravity of the virus and the four amino acids cluster, pedigree chart obtained. Clustering results obtained by the amino acid content in several different viruses, so a simple analysis of the codon bias in several different viruses.3. Using MEGA software influenza virus hemagglutinin homology and evolutionary analysis done in the basis of homology to get the 16 kinds of influenza A virus hemagglutinin subtype of the phylogenetic tree, based on Phylogenetic tree of evolution, combined with the infection of human RSCU analysis of hemagglutinin evolutionary features, and by phylogenetic tree methods combined with the BLAST analysis of influenza A virus of our current situation and trends.The innovations are listed as follows:1. In xylanase study, ARIMA model is introduced and the evolutionary trends of some amino acids are analyzed.2. Phylogenetic tree based on the combination of the RSCU methods and improved BLAST method with a high application value.