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Sequence alignment using simulated annealing

Ozan S. Sarıyer and Can Güven

Physica A: Statistical Mechanics and its Applications, 2010, vol. 389, issue 15, 3007-3012

Abstract: We apply simulated annealing to amino acid sequence alignment, a fundamental problem in bioinformatics, particularly relevant to evolution. Our goal was obtaining results comparable to those reached through dynamic programming algorithms, like the Needleman–Wunsch algorithm, as well as making a connection between physics and bioinformatics through a representative example.

Keywords: Bioinformatics; Simulated annealing (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:389:y:2010:i:15:p:3007-3012

DOI: 10.1016/j.physa.2010.02.015

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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