DocumentCode
1595440
Title
An Efficient Ant Colony Algorithm for Multiple Sequences Alignment
Author
Chen, Ling ; Zou, Lingjun ; Chen, Juan
Author_Institution
Yangzhou Univ., Yangzhou
Volume
4
fYear
2007
Firstpage
208
Lastpage
212
Abstract
A multiple sequence alignment algorithm based on divide-and-conquer method and ant colony algorithms is proposed. In the algorithm, ant colony optimization method is used to partition the set of sequences into several subsections vertically. Then the procedure of partitioning is applied to the prefix family and the suffix family in a recursive manner until the lengths of the subsequences are all equal to 1. Experimental results show that the algorithm can get high quality solution and reduce the running time.
Keywords
biology computing; divide and conquer methods; optimisation; sequences; ant colony optimization method; bioinformatics; divide-and-conquer method; multiple sequences alignment; sequences partitioning; Ant colony optimization; Bioinformatics; Computational complexity; Computer science; Dynamic programming; Hidden Markov models; Iterative algorithms; Partitioning algorithms; Phylogeny; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.189
Filename
4344671
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