• DocumentCode
    2750610
  • Title

    BRQS Matching Algorithm for Searching Protein Sequence Databases

  • Author

    Klaib, Ahmad Fadel ; Osborne, Hugh

  • Author_Institution
    Inf. Dept., Univ. of Huddersfield, Huddersfield, UK
  • fYear
    2009
  • fDate
    3-5 April 2009
  • Firstpage
    223
  • Lastpage
    226
  • Abstract
    String matching algorithms play a key role in many computer science problems, challenges and in the implementation of computer software. This problem has received a great deal of attention due to various applications in computational biology. In our study, we propose a new algorithm called BRQS. Experimental results show that it offers fewer numbers of comparisons and offers improved elapsed searching time when compared to other well-known algorithms for searching any length of alphabets and patterns. The proposed algorithm is applicable to search protein sequence databases as well as any other string searching applications.
  • Keywords
    biology computing; pattern matching; proteins; query processing; Berry-Ravindran quick-search algorithm; computational biology; computer software; elapsed searching time; protein sequence databases searching; string matching algorithms; Amino acids; Application software; Biology computing; Computer science; Data engineering; Databases; Informatics; Pattern matching; Protein sequence; Software algorithms; BRQS; Proteins; String-matching Algorithms; Swiss-Prot database;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication, 2009. ICFCC 2009. International Conference on
  • Conference_Location
    Kuala Lumpar
  • Print_ISBN
    978-0-7695-3591-3
  • Type

    conf

  • DOI
    10.1109/ICFCC.2009.40
  • Filename
    5189777