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PMID: 12162887 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Super pairwise alignment (SPA): an efficient approach to global alignment for homologous sequences.

Shen SY, Yang J, Yao A, Hwang PI

Abstract

Sequence analysis is the basis of bioinformatics, while sequence alignment is a fundamental task for sequence analysis. The widely used alignment algorithm, Dynamic Programming, though generating optimal alignment, takes too much time due to its high computation complexity O(N(2)). In order to reduce computation complexity without sacrificing too much accuracy, we have developed a new approach to align two homologous sequences. The new approach presented here, adopting our novel algorithm which combines the methods of probabilistic and combinatorial analysis, reduces the computation complexity to as low as O(N). The computation speed by our program is at least 15 times faster than traditional pairwise alignment algorithms without a loss of much accuracy. We hence named the algorithm Super Pairwise Alignment (SPA). The pairwise alignment execution program based on SPA and the detailed results of the aligned sequences discussed in this article are available upon request.

MeSH Terms
Algorithms Animals Computer Simulation Humans Models, Theoretical Sequence Alignment/methods,statistics & numerical data Sequence Homology Software Time Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Shen Shi-Yi
School of Mathematical Sciences, Nankai University and LiuHui Center for Applied Mathematics, Tianjin 300071, P.R.China.
Yang Jun
Yao Adam
Hwang Pei-Ing
Article Info
Journal
Journal of computational biology : a journal of computational molecular cell biology
Abbr.
J Comput Biol
ISSN
1066-5277
Published
2002-00-00
Pages
477-86
Language
English
Region
United States
NLM ID
9433358
Subset
IM
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