Sciweavers

Share
CEC
2007
IEEE

An evolutionary progressive multiple sequence alignment

10 years 23 hour ago
An evolutionary progressive multiple sequence alignment
Abstract This paper presents a new evolutionary method, namely, a Two Phase evolutionary algorithm for multiple sequence alignments. This method is composed of different types of evolutionary algorithms, that is, an evolutionary progressive multiple sequence alignment method (abbreviated to ET) and Sequence Alignment by Genetic Algorithm (abbreviated to SAGA). The former is employed to obtain efficiently good quality of multiple alignments and the latter to improve them much better. The basic idea was obtained from analysis of the characteristics of the two evolutionary methods, that is, the ET and SAGA can compensate each other’s weak points. Experimental evaluation shows that the proposed Two Phase method can generate good quality of multiple alignments.
Farhana Naznin, Morikazu Nakamura, Takeo Okazaki,
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where CEC
Authors Farhana Naznin, Morikazu Nakamura, Takeo Okazaki, Yumiko Nakajima
Comments (0)
books