DocumentCode
3625073
Title
Evolutionary-Progressive Method for Multiple Sequence Alignment
Author
Pawel Kupis;Jacek Mandziuk
Author_Institution
Faculty of Mathematics and Information Science, Warsaw University of Technology, Plac Politechniki 1, 00-661 Warsaw, POLAND. Email: p.kupis@mini.pw.edu.pl
fYear
2007
fDate
4/1/2007 12:00:00 AM
Firstpage
291
Lastpage
297
Abstract
In this paper a new evolutionary-progressive method for multiple sequence alignment (MSA) is proposed. The method efficiently combines flexibility of evolutionary approach with speed and accuracy of progressive technique. Both stages of introduced hybrid method are described in detail. The results of comparison with several well-known methods show that proposed evolutionary-progressive method is an interesting alternative for purely genetic and purely progressive approaches
Keywords
"Sequences","Genetics","Dynamic programming","Computational biology","Linear programming","Hidden Markov models","Computational intelligence","Bioinformatics","Mathematics","Information science"
Publisher
ieee
Conference_Titel
Computational Intelligence and Bioinformatics and Computational Biology, 2007. CIBCB ´07. IEEE Symposium on
Print_ISBN
1-4244-0710-9
Type
conf
DOI
10.1109/CIBCB.2007.4221235
Filename
4221235
Link To Document