• DocumentCode
    1617489
  • 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
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    2836
  • Lastpage
    2838
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1617064
  • Filename
    1617064