• DocumentCode
    3209666
  • Title

    Fast CPU-based DNA exact sequence aligner

  • Author

    Arbabi, Aryan ; Gholami, Milad ; Varmazyar, Mojtaba ; Daneshpajouh, Shervin

  • Author_Institution
    Sch. of Comput. Sci., Inst. for Res. in Fundamental Sci. (IPM), Tehran, Iran
  • fYear
    2012
  • fDate
    16-17 July 2012
  • Firstpage
    95
  • Lastpage
    98
  • Abstract
    Fast alignment of small sequences to a very large sequence has recently been under attention of many researchers, due to the applications in processing the biological sequences and specially mapping the short reads of Next Generation Sequencing to an already assembled reference genome. The MEMOCODE 2012 contest was aimed to design a very efficient exact DNA sequence matching method to map a huge number of short subsequences of the human genome and to optimize the performance of design: the running time and the cost of the required hardware platform. We designed and implemented two separate solutions, one based on Burrows Wheeler Transform (BWT) with some optimizations to the algorithm that improve its speed significantly, the other one which won the normalized section of the contest uses a hash indexing method.
  • Keywords
    DNA; bioinformatics; data compression; file organisation; genomics; indexing; sequences; BWT; Burrows Wheeler transform; CPU-based DNA exact sequence aligner; DNA sequence matching method; MEMOCODE 2012 contest; biological sequences; hash indexing method; human genome; next generation sequencing; reference genome; small sequence alignment; very large sequence; Bioinformatics; DNA; Genomics; Humans; Memory management; Optimization; Random access memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Formal Methods and Models for Codesign (MEMOCODE), 2012 10th IEEE/ACM International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4673-1314-8
  • Type

    conf

  • DOI
    10.1109/MEMCOD.2012.6292305
  • Filename
    6292305