• DocumentCode
    2529077
  • Title

    A Pattern Matching Technique for Multiple Sequences Alignment with GAP Consideration

  • Author

    Mathkour, Hassan ; Ahmad, Muneer

  • Author_Institution
    Dept. of Comput. Sci., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2009
  • fDate
    3-5 April 2009
  • Firstpage
    123
  • Lastpage
    127
  • Abstract
    Protein and DNA sequences of different organisms are often related and they indicate the knowledge about species. The consideration is made to align more than two sequences so that a level/extend of similarity or differences be found that would help in categorizing the common characteristics of species and their behaviors. An efficient recursive approach is proposed in this paper that would not only find the multiple sequences alignment for protein/DNA sequence but also provides means for consideration of gaps between them. The algorithm will calculate the degree of similarity and bounds/extends of gaps to bring refined and useful results. The input variables (e.g. Strands) of the program are user dependant and internal calculations are performed in recursive fashion to add intelligence to the input Strands. Experimental results have shown more favorable performance of the proposed approach as compared to other approaches.
  • Keywords
    DNA; bioinformatics; genomics; pattern matching; proteins; recursive estimation; sequences; DNA sequences; genome sequence analysis; multiple sequences alignment; pattern matching technique; protein sequences; recursive approach; Computer science; DNA; Dynamic programming; Educational institutions; Genomics; Iterative methods; Organisms; Pattern matching; Proteins; Sequences; GLOBALGAPS; Genome; MMATCH; Protein and DNA Sequences; Sequences GAPS; multiple sequences Alignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Acquisition and Processing, 2009. ICSAP 2009. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-3594-4
  • Type

    conf

  • DOI
    10.1109/ICSAP.2009.35
  • Filename
    5163839