• DocumentCode
    445459
  • Title

    Assembling DNA fragments with parallel algorithms

  • Author

    Alba, Enrique ; Luque, Gabriel ; Khuri, Sami

  • Author_Institution
    Dept. de Lenguajes y Ciencias de la Computacion, E.T.S.I. Informatica, Malaga
  • Volume
    1
  • fYear
    2005
  • fDate
    5-5 Sept. 2005
  • Firstpage
    57
  • Abstract
    As more research centers embark on sequencing new genomes, the problem of DNA fragment assembly for shotgun sequencing is growing in importance and complexity. Accurate and fast assembly is a crucial part of any sequencing project and since the DNA fragment assembly problem is NP-hard, exact solutions are very difficult to obtain. Various heuristics, including genetic algorithms, were designed for solving the fragment assembly problem. While the sequential genetic algorithm has given good results, it is unable to sequence very large DNA molecules. In this work, we present two parallel methods, a distributed genetic algorithm and a parallel simulated annealing, to solve problem instances that are 77K base pairs long accurately
  • Keywords
    DNA; biology computing; genetic algorithms; parallel algorithms; simulated annealing; DNA fragment assembly problem; DNA molecules; NP-hard problem; distributed genetic algorithm; genomes; parallel algorithms; parallel methods; parallel simulated annealing; shotgun sequencing; Algorithm design and analysis; Assembly; Bioinformatics; DNA; Genetic algorithms; Genomics; Packaging; Parallel algorithms; Sequences; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Conference_Location
    Edinburgh, Scotland
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1554667
  • Filename
    1554667