Abstract
We present a novel algorithm SASAlignSimulated annealing with star-alignment. In the SASAlign, instead of starting with an initial solution chosen at random, we use the results formed by star-alignment to give a good starting point as the initial solution to the SA for further refinement. The time required by the algorithm scales linearly with the number of sequences in S, linearly with the number of iterations, and cube with the length of the sequences, that is O(Nnl 3). Experiments on the BAliBASE benchmark database also show that the proposed algorithm is efficient, and prove to be competitive with and better than the other method HMMT.
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References
Jones, N.C., Pevzner, P.A.: An Introduction to Bioinformatics Algorithms. MIT Press, Cambridge (2004)
Gunsfield, D.: Algorithms on Strings, Trees and Sequences. Cambridge University Press, Cambridge (1999)
Huo, H.: Exercises and Solutions on Algorithms. Higher Education Press, China (2004)
Notredame, C.: Recent progresses in multiple sequence alignment: a survey. Pharmacogenomics 3, 131–144 (2002)
Carrillo, H., Lipman, D.J.: The multiple sequence alignment problem in biology. SIAM Appl. Math. 48, 1073–1082 (1988)
Pearson, W.R., Lipman, D.J.: Improved tools for biological sequence comparison. Proceedings of the National Academy of Sciences of the USA 4, 2444–2448 (1988)
Feng, D.F., Doolittle, R.F.: Progressive sequence alignment as a prerequisite to correct phylogenetic trees. Molecular Evolution 25, 351–360 (1987)
Konagurthu, A.S., Whisstock, J., Stuckey, P.J.: Progressive multiple alignment using sequence triplet optimizations and three-residue exchanges costs. Journal of Bioinformatics and Computational Biology 2, 719–745 (2004)
Notredame, C., Higgins, D.G.: SAGA: sequence alignment by genetic algorithm. Nucleic Acids Research 24, 1515–1524 (1996)
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© 2005 Springer-Verlag Berlin Heidelberg
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Huo, H., Ming, H. (2005). Simulated Annealing with Injecting Star-Alignment for Multiple Sequence Alignments. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_121
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DOI: https://doi.org/10.1007/11596448_121
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30818-8
Online ISBN: 978-3-540-31599-5
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