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Use hidden Markov models in Bioinformatics | ||
| Journal of Administration and Economics | ||
| Article 1, Volume 0, Issue 111, 2018, Pages 232-240 | ||
| Authors | ||
| Prof. Abdul Rahim Khalaf Rahi; Asmaa Hussein Samir | ||
| 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 . Keywords: Hidden Markov models (HMMs), Veterbi Algorithm, Bioinformatics . | ||
| Keywords | ||
| Department of Accounting | ||
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