• DocumentCode
    1926009
  • Title

    Cloud Based Short Read Mapping Service

  • Author

    Dai, Dong ; Li, Xi ; Wang, Chao ; Zhou, Xuehai

  • Author_Institution
    Dept. Comput. Sci., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2012
  • fDate
    24-28 Sept. 2012
  • Firstpage
    601
  • Lastpage
    604
  • Abstract
    Bioinformatics is an emerging field with seemingly limitless possibilities for advances in numerous scientific research and applications domains. In this paper, we summaries the explosive cutting-edge acceleration engines for the emerging short read mapping problems. What´s more, we propose a novel Cloud based web service solution to the short read mapping problem in DNA sequencing, which greatly accelerates the task of aligning continuous incoming short length reads to uncertain known reference genomes. This approach is based on the pre-process of the reference genomes and iterative MapReduce jobs for aligning the continuous incoming reads. The MapReduce-based read-mapping algorithm is modeled after RMAP. Preliminary experimental results on incorporated MapReduce programming framework demonstrate that our proposed architecture and methods efficiently reduces the waiting time for large scale short reads applications. This architecture would be much important and efficient in future commercial personal gnome sequencing service.
  • Keywords
    DNA; Web services; bioinformatics; cloud computing; data handling; genomics; iterative methods; parallel programming; DNA sequencing; MapReduce programming framework; MapReduce-based read-mapping algorithm; RMAP; applications domain; bioinformatics; cloud based Web service; cloud based short read mapping service; continuous incoming read alignment; continuous incoming short length read alignment; cutting-edge acceleration engine; iterative MapReduce job; personal genome sequencing service; reference genome; scientific research; short read mapping problem; Acceleration; Algorithm design and analysis; Bioinformatics; Clustering algorithms; Computer architecture; Genomics; Web services; Hadoop; Service; map reduce; short reads mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2012 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2422-9
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2012.60
  • Filename
    6337832