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Title (Arabic)

استخدام سلاسل ماركوف في التعرف على تعقبات الحامض النووي DNA

DOI

10.33095/jeas.v13i46.1278

Abstract

The DNA has great importance because it is a hereditary information carrier. In view of the importance of Markova’s chains in explaining, and analyzing many of the phenomena through succession, our research incentive has therefore came to represent Markov chains applications on the DNA and considering the conditional transitional probabilities of these chains elements for its great importance in finding the hereditary genetics from DNA compositions. Markov chains has been implemented for the probable alignment of the first, second, third, fourth, and fifth orders. Three means depending on these alignments have been used. Experimentation on four of DNA chains was carried out for human growth hormone and relied on DNA succession for comparison between the three ways that nominate the chain of the greater probability to represent the gene. In addition, a program was created to code and translate the three models of the ORF for the DNA succession and the chains for the three models which start with the start code and end with the stop code. The program was written by Visual basic language to carry out these operations and to yield sequence alignment between the human growth hormone gene and other chains. The program implemented DNA chains in which the nucleotide number is less than 3000 bases example in field by the human growth's hormone, mouse and chicken growth hormone. As well, endotoxins produced by E.coli, salmonella , shigella representing prokaryotes were also included one of the most significant conclusion reached is that Markov assessment method of calculated weights by means of Chi Square is the best mean for identifying genes from DNA sequences.

Abstract (Arabic)

استخدام سلاسل ماركوف في التعرف على تعقبات الحامض النووي DNA

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