Classification And Comparison Of Biological RNA Data Based On Gene Mutation Model

Gene mutation refers to the change of nucleotide sequence in the genome,which is the internal driving force of biological evolution.Understanding the process of base variation at the DNA and RNA level is an important part of evolutionary biology.In investigation of gene mutations,it is found that the mutation of a single nucleotide will be influenced by its neighboring nucleotides.The context-dependent mutational model introduces quantitative influence parameters of two neighbouring(up and down)nucleotides in the evolution process of simulating sequences.Therefore,this paper used this model to analyze and study the variation of RNA sequence.The main work is as follows:Firstly,based on the context-dependent mutational model,mathematical expressions are used to define the mutation rate of a gene sequence,so that the mutation rate of the sequence becomes quantitative and calculable.By calculating the mutation rate of coding RNA and non-coding RNA sequence of genomes of different species,it is found that coding RNA and non-coding RNA have different characteristics in mutation rate.Secondly,by calculating the expression of the double nucleotide Cp G in the RNA virus gene sequence,it is found that most of the RNA virus gene sequence has the phenomenon of insufficient expression of the double nucleotide Cp G.At the same time,the context-dependent mutational model was used to dynamically simulate the mutation process of the RNA virus gene sequence,and the mutation rate of the RNA virus gene sequence including the new coronavirus(SARS-Co V-2)was calculated and analyzed,and the mutation rate of the sequence of different RNA viruses under non-external influence was different.