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2007 International Conference on Parallel Processing (ICPP 2007)
Efficient Parallel Algorithm for Optimal Three-Sequences Alignment
Xi'an, China
September 10-September 14
ISBN: 0-7695-2933-X
| ASCII Text | x | ||
| Chun Yuan Lin, Chen Tai Huang, Yeh-Ching Chung, Chuan Yi Tang, "Efficient Parallel Algorithm for Optimal Three-Sequences Alignment," 2012 41st International Conference on Parallel Processing, pp. 14, 2007 International Conference on Parallel Processing (ICPP 2007), 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/ICPP.2007.38, author = {Chun Yuan Lin and Chen Tai Huang and Yeh-Ching Chung and Chuan Yi Tang}, title = {Efficient Parallel Algorithm for Optimal Three-Sequences Alignment}, journal ={2012 41st International Conference on Parallel Processing}, volume = {0}, year = {2007}, issn = {0190-3918}, pages = {14}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPP.2007.38}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 41st International Conference on Parallel Processing TI - Efficient Parallel Algorithm for Optimal Three-Sequences Alignment SN - 0190-3918 SP EP A1 - Chun Yuan Lin, A1 - Chen Tai Huang, A1 - Yeh-Ching Chung, A1 - Chuan Yi Tang, PY - 2007 KW - dynamic programming KW - computational biology KW - sequence alignment KW - Hirschberg?s technique KW - time and space complexities. VL - 0 JA - 2012 41st International Conference on Parallel Processing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPP.2007.38
Sequence alignment is a fundamental problem in the computational biology. Many alignment methods have been proposed in the literature, such as pair-wise sequence alignment (2SA), syntenic alignment, multiple sequence alignment (MSA) and constraint multiple sequence alignment, etc. Three-sequence alignment (3SA) problem has been proposed and discussed in the computational biology and proved that the alignment results from 3SA are better than those from 2SA under some conditions. However, 3SA problem is less discussed over the past decade due to the computer capability. 3SA problem now is worthy to discuss due to the powerful computer and more and more genome and protein sequences. In this paper, an efficient parallel algorithm (P3SA) is proposed to solve 3SA problem. The P3SA method requires O(n2/p) space complexity and O(n3/p) time complexity. The experimental results show that P3SA algorithm is applicable and achieves a satisfied speed-up.
Index Terms:
dynamic programming, computational biology, sequence alignment, Hirschberg?s technique, time and space complexities.
Citation:
Chun Yuan Lin, Chen Tai Huang, Yeh-Ching Chung, Chuan Yi Tang, "Efficient Parallel Algorithm for Optimal Three-Sequences Alignment," icpp, pp.14, 2007 International Conference on Parallel Processing (ICPP 2007), 2007
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