Super Pairwise Alignment (SPA): An Efficient Approach to Global Alignment for Homologous Sequences

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.

DOI: 10.1089/106652702760138574

Cite this paper

@article{Shen2002SuperPA, title={Super Pairwise Alignment (SPA): An Efficient Approach to Global Alignment for Homologous Sequences}, author={Shi-Yi Shen and Jun Yang and Adam Yao and Pei-Ing Hwang}, journal={Journal of computational biology : a journal of computational molecular cell biology}, year={2002}, volume={9 3}, pages={477-86} }