Title
An Efficient Ant Colony Algorithm for Multiple Sequences Alignment
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.
Year
DOI
Venue
2007
10.1109/ICNC.2007.189
ICNC
Keywords
Field
DocType
divide-and-conquer method,ant colony algorithm,multiple sequence alignment algorithm,multiple sequences alignment,prefix family,efficient ant colony algorithm,suffix family,recursive manner,ant colony optimization method,high quality solution,divide and conquer,sequences,multiple sequence alignment,bioinformatics,ant colony optimization
Ant colony optimization algorithms,Suffix,Computer science,Prefix,Theoretical computer science,Artificial intelligence,Partition (number theory),Ant colony,Multiple sequence alignment,Recursion,Machine learning
Conference
Volume
ISSN
ISBN
4
2157-9555
0-7695-2875-9
Citations 
PageRank 
References 
1
0.36
11
Authors
3
Name
Order
Citations
PageRank
Ling Chen1426.49
Lingjun Zou2312.38
Juan Chen3131.77