Human deoxyribonucleic acid (DNA) sequence

The problem of finding genetic mutations is an issue of special importance for its relationship with genetics evolution of living organisms. In this paper we present three statistical methods proposed for the creation of genetic mutations, the first depends mainly on the Markovian model the second on the autoregressive models, and the third depends on the algorithm proposed based on the hidden Markov model. The three methods are applied to DNA for sequence with shortage oxygen of humans, and shows the practical application show that of these methods give good results in the detection of genetic mutations, reached in some cases to 90%.