Covid-19 a novel coronavirus has created a global pandemic. This is an RNA virus that all the world is immobilized with its infectious. 10 million people have been infected and 600K dead. Due to the mutation in the human body this RNA virus does, the mutation rate was estimated for infected people. NCBI Gen-Bank contains the gene sequences for infected people. These data set were tested to evaluate the nucleotide percent mutation rate. Furthermore, based on the length of the data set, the data set selected for different regions to evaluate mutation rate. The results conclude that for all regions, Thymine (T) and Adenine (A) are mutated for a huge amount of data compared to other nucleotides (C) Cytosine (G) Guanine. To predict the improvement of this virus and future mutation rate, Fact Dynamic Sequence Alignment pairwise algorithm has been applied. the predicted increment percentage in mutation rate is 0.1% for 600th patients in the future from G to T and T to C and G, C to G, while T is mutated to A with decrement of 0.1% and A mutated to C with decrement of 0.1%. these results indicate that this method can be applied efficiently to predict future gene Mutation.

Covid-19 mutation rate gene mutation pair-wise sequence alignment INTRODUCTION