• DocumentCode
    2502375
  • Title

    Component Vector method and Its Application in Detecting Similarities between Sequences

  • Author

    Duan, Guang-You ; Gao, Shan ; ZHANG, Ning ; YANG, Zhuo ; ZHANG, Tao

  • Author_Institution
    Key Lab. of Bioactive Mater., Nankai Univ., Tianjin, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    With the increase of sequence information, many methods have been used in detecting sequence similarities. In order to avoid the shortcomings of the traditional method based on sequences alignment such as high time and space complexity, component vector method has been successfully used in the reconstruction of phylogenetic tree using genome (proteome) or conserved molecular sequences. With the aim of extension and study the advantage of the method, it has been employed to detect similarities between common short gene and protein sequences and get some good results. Results show that component distance method successfully detects the similarities in our HIV sequences, and have high correlation with the traditional method based on sequence alignment.
  • Keywords
    biological techniques; genetics; genomics; microorganisms; molecular biophysics; proteins; proteomics; vectors; HIV sequences; component distance method; component vector method; conserved molecular sequences; gene sequence; genome; high-time complexity; phylogenetic tree reconstruction; protein sequence; proteome; sequence alignment; sequence information; space complexity; Amino acids; Bioinformatics; Biological materials; Biomedical materials; DNA; Educational institutions; Frequency; Genomics; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162547
  • Filename
    5162547