Years and Authors of Summarized Original Work
1986; Altschul, Erickson
Problem Definition
The pairwise local alignment problem is concerned with identification of a pair of similar substrings from two molecular sequences. This problem has been studied in computer science for four decades. However, most problem models were generally not biologically satisfying or interpretable before 1974. In 1974, Sellers developed a metric measure of the similarity between molecular sequences. [9] generalized this metric to include deletions and insertions of arbitrary length which represent the minimum number of mutational events required to convert one sequence into another.
Given two sequences S and T, a pairwise alignment is a way of inserting space characters ‘_’ in S and T to form sequences S′ and T′ respectively with the same length. There can be different alignments of two sequences. The score of an alignment is measured by a scoring metric \(\updelta (x,y)\). At each position i where both x...
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Allgower EL, Schmidt PH (1985) An algorithm for piecewise-linear approximation of an implicitly defined manifold. SIAM J Num Anal 22:322–346
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215:403–410
Chao KM, Miller W (1995) Linear-space algorithms that build local alignments from fragments. Algorithmica 13:106–134
Gusfield D (1999) Algorithms on strings, trees and sequences. Cambridge University Press, Cambridge. ISBN:052158519
Ma B, Tromp J, Li M (2002) PatternHunter: faster and more sensitive homology search. Bioinformatics 18:440–445
Myers EW, Miller W (1988) Optimal alignments in linear space. Bioinformatics 4:11–17
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Sellers PH (1974) On the theory and computation of evolutionary distances. SIAM J Appl Math 26:787–793
Smith TF, Waterman MS (1981) Identification of common molecular subsequences. J Mol Biol 147:195–197
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Leung, H. (2016). Local Alignment (with Affine Gap Weights). In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_207
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