Sciweavers

GECCO
2005
Springer

A multiple objective evolutionary algorithm for multiple sequence alignment

14 years 6 months ago
A multiple objective evolutionary algorithm for multiple sequence alignment
The problem of multiple sequence alignment is important for bioinformatics. This problem is widely studied and a popular tool to solve this problem is Clustal X. This work introduces a multiple objective evolutionary algorithm to improve solutions obtained from Clustal X. The proposed method is tested with the dataset from BAliBASE database. Categories and Subject Descriptors J.3 [LIFE AND MEDICAL SCIENCES]: – Biology and genetics, Medical information systems. General Terms: Algorithms, Performance.
Pasut Seeluangsawat, Prabhas Chongstitvatana
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Pasut Seeluangsawat, Prabhas Chongstitvatana
Comments (0)