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 .

Downloads

Published

2022-05-31

How to Cite

Using Hidden Markov Models in Bioinformatics. (2022). Journal of Administration and Economics, 111, 232-240. https://admics.uomustansiriyah.edu.iq/index.php/admeco/article/view/698

Similar Articles

1-10 of 100

You may also start an advanced similarity search for this article.