• DocumentCode
    1932463
  • Title

    A New DNA Fragment Assembly Method Based on Long Fragment Filtration

  • Author

    Quan Guang-Ri ; Xu Yong-Dong ; Wang Ya-Dong ; Xu Zhi-ming

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin
  • Volume
    1
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    39
  • Lastpage
    46
  • Abstract
    As an important aspect of bioinformatics, the main problem of genome sequencing is DNA Fragment Assembly. This paper proposed a new fragment assembly algorithm based on the long fragment filtration. Firstly, the fragment set was divided into two parts according to a threshold of the filtration length and the Bruijn graph was formed by the short fragments set. Subsequently system automatically selected long fragments which met the filtration condition by the Bruijn graph and the path searching method and constructed the filtrated fragments set. On the basis of not missing essential fragment information in the process of fragment assembly, our method effectively resolved the problem of high spatial cost and limited processing scale caused by traditional Eulerian Super path method. Finally, we certified the feasibility and the validity of our method through a series of experiments.
  • Keywords
    DNA; biological techniques; biology computing; cellular biophysics; molecular biophysics; Bruijn graph; DNA fragment assembly method; Eulerian superpath method; bioinformatics; genome sequencing; long-fragment filtration; Assembly; Bioinformatics; Costs; DNA; Filtration; Genomics; Heuristic algorithms; Partitioning algorithms; Sequences; Spatial resolution; DNA sequencing; Eulerian Super path; Fragment assembly; Fragment filtration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-0-7695-3118-2
  • Type

    conf

  • DOI
    10.1109/BMEI.2008.175
  • Filename
    4548632