• DocumentCode
    3638623
  • Title

    An analysis of sequence alignment: Heuristic algorithms

  • Author

    İ. Ö. Bucak;V. Uslan

  • Author_Institution
    Computer Engineering Department, Fatih University, B.Cekmece, Istanbul, Turkey
  • fYear
    2010
  • Firstpage
    1824
  • Lastpage
    1827
  • Abstract
    Sequence alignment becomes challenging with an increase in size and number of sequences. Finding optimal or near optimal solutions for sequence alignment is one of the most important operations in bioinformatics. This study aims to survey heuristics applied for the sequence alignment problem summarized in a time line.
  • Keywords
    "Proteins","Dynamic programming","Computational modeling","Simulated annealing","Heuristic algorithms","Algorithm design and analysis","Particle swarm optimization"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    978-1-4244-4123-5
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5626428
  • Filename
    5626428
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3638623