• DocumentCode
    3544086
  • Title

    A CUDA-based Implementation of the SSAKE Genomics Application

  • Author

    Agostino, Daniele D. ; Clematis, Andrea ; Guffanti, Alessandro ; Milanesi, Luciano ; Merelli, Ivan

  • Author_Institution
    Inst. for Appl. Math. & Inf. Technol., Nat. Res. Council of Italy, Genoa, Italy
  • fYear
    2012
  • fDate
    15-17 Feb. 2012
  • Firstpage
    612
  • Lastpage
    616
  • Abstract
    Present advances in sequencing technology make possible to generate large amounts of data in short time. However one major issue is represented by the fact that fragments produced by these high-throughput methods are short and in very high number, resulting in a difficult analytical task. Two different approaches are currently applied to genome assembly, overlap graph and sequence hashing. In particular SSAKE, one of the first and more popular implementation of the sequence hashing algorithm, was designed to leverage the information from short sequence reads by stringently assembling them into contiguous sequences that can be used to characterize novel sequencing targets. In this paper we present an implementation of this tool for the CUDA architecture.
  • Keywords
    bioinformatics; genetics; graph theory; parallel architectures; CUDA architecture; SSAKE genomics application; genome assembly; overlap graph; sequence hashing algorithm; sequencing technology; Arrays; Assembly; Bioinformatics; DNA; Genomics; Graphics processing unit; parallel de novo assembly; parallel ssake;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2012 20th Euromicro International Conference on
  • Conference_Location
    Garching
  • ISSN
    1066-6192
  • Print_ISBN
    978-1-4673-0226-5
  • Type

    conf

  • DOI
    10.1109/PDP.2012.16
  • Filename
    6169648