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ICIC
2009
Springer
15 years 5 months ago
A Method for Multiple Sequence Alignment Based on Particle Swarm Optimization
Sequence Alignment is a basic information disposal method in Bioinformatics. However, it is difficult to deal with multiple sequence alignment problem(MSA). In this paper, an impro...
Fasheng Xu, Yuehui Chen
132
Voted
TEC
2010
171views more  TEC 2010»
14 years 5 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
93
Voted
ISMB
1994
15 years 7 days ago
An Efficient Method for Multiple Sequence Alignment
Multiple sequence alignment has been a useful methodin the study of molecular evolution and sequence-structure relationships. This paper presents a newmethodfor multiple sequence ...
Jin Kim, Sakti Pramanik
88
Voted
CEC
2009
IEEE
15 years 5 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
104
Voted
BMCBI
2006
139views more  BMCBI 2006»
14 years 11 months ago
Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
Background: Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy...
Shinsuke Yamada, Osamu Gotoh, Hayato Yamana