Title :
SMA: An Efficient Tool for Large-Scale Multiple Alignment
Author :
Shen, Shiyi ; Dong, Liuhuan ; Wang, Kui ; Hu, Gang
Author_Institution :
Sch. of Math., Nankai Univ., Tianjin
fDate :
6/27/1905 12:00:00 AM
Abstract :
To compare large numbers of genomic sequences of related virus, such as HIV, biologists have an increasing need for a method that can efficiently handle hundreds, even thousands, of genomic sequences accurately enough to correctly align these conserved features. In this paper, we introduce a new and efficient tool named SMA that can easily accommodate large-scale virus genomic sequences. A high-throughput test on 706 HIV-1 genomic sequences shows that SMA is much faster than the available programs with at least the same performance. SMA is a good improvement of existing algorithms for high-volume multiple sequence alignment. It offers an option that provides improved speed and accuracy compared with currently available programs. SMA is freely available at http://mathbio.nankai.edu.cn/e_version/align_query.php
Keywords :
diseases; genetics; medical diagnostic computing; microorganisms; molecular biophysics; molecular configurations; HIV; SMA; large-scale multiple sequence alignment; virus genomic sequences; Bioinformatics; Chaos; Genomics; Hidden Markov models; Human immunodeficiency virus; Large-scale systems; Mathematics; Muscles; Sequences; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617064