Using Hidden Markov Models in Bioinformatics

Authors

  • أ.د. عبدالرحيم خلف راهي
  • اسماء حسين سمير

Keywords:

Hidden Markov models (HMMs), Veterbi Algorithm, Bioinformatics

Abstract

    This research focused on the recruitment of Hidden Markov models (HMMs) in Bioinformatics, to identify DNA sequence of humans and consisting of a sequence of nitrogenous bases, called nucleotides, Adenine are signified by the letter a, Cytosine and signified by the letter c, Thymine and signified by the letter t, Guanine signified by the letter g, is dealing with the problem of analyzing DNA sequence DNA as a linguistic problem consists of four letters (a , c, t, g) and Ltinaya a series of DNA using an algorithm Veterbi .

Published

2022-05-31