• DocumentCode
    2010245
  • Title

    Accelerating De Bruijn Graph-Based Genome Assembly for High-Throughput Short Read Data

  • Author

    Kun Zhao ; Weiguo Liu ; Voss, Gerrit ; Mueller-Wittig, Wolfgang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2013
  • fDate
    15-18 Dec. 2013
  • Firstpage
    426
  • Lastpage
    427
  • Abstract
    Emerging next-generation sequencing technologies have opened up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, the generated reads are significantly shorter compared to the traditional Sanger shotgun sequencing method. This poses challenges for de novo assembly algorithms in terms of both accuracy and efficiency. And due to the continuing explosive growth of short read databases, there is a high demand to accelerate the often repeated long-runtime assembly task. In this paper, we present a scalable parallel algorithm to accelerate the de Bruijn graph-based genome assembly for high-throughput short read data.
  • Keywords
    biology computing; database management systems; genomics; graph theory; parallel algorithms; program assemblers; sequences; Sanger shotgun sequencing method; de Bruijn graph-based genome assembly; de novo assembly algorithms; genome sequencing; high-throughput short read data; long-runtime assembly task; next-generation sequencing technologies; parallel algorithm; short read databases; Acceleration; Assembly; Bioinformatics; Conferences; Genomics; Pipelines; Sequential analysis; Genome Assembly; MPI; Multi-threading; Short Read Data; de Bruijn Graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems (ICPADS), 2013 International Conference on
  • Conference_Location
    Seoul
  • ISSN
    1521-9097
  • Type

    conf

  • DOI
    10.1109/ICPADS.2013.68
  • Filename
    6808205