A Novel Distance Metric for Aligning Multiple Sequences Using DNA Hybridization Process
Автор: Jayapriya J, Michael Arock
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 6 vol.8, 2016 года.
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This paper elucidates a new approach for aligning multiple sequences using DNA operations. A new distance measure using DNA hybridization melting temperature that gives approximate solutions for the multiple sequence alignment (MSA) problem is proposed. This paper provides proof for the proposed distance measure using the distance function properties. With this distance measure, a distance matrix is constructed that generates a guide tree for the alignment. Providing an accurate solution in less computational time is considered to be a challenging task for the MSA problem. Developing an algorithm for the MSA problem is essentially a trade-off between finding an accurate solution and that can be completed in less computational time. In order to reduce the time complexity, the Bio-inspired technique called the DNA computing is applied in calculating the distance between the sequences. The main application of this multiple sequence alignment (MSA) is to identify the sub-sequences for the functional study of the whole genome sequences. The detailed theoretical study of this approach is explained in this paper.
Multiple sequence alignment, DNA Hybridization, Sequence alignment, Distance matrix, DNA structure
Короткий адрес: https://sciup.org/15010830
IDR: 15010830
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