• DocumentCode
    36431
  • Title

    Reconfiguring the Bioinformatics Computational Spectrum: Challenges and Opportunities of FPGA-Based Bioinformatics Acceleration Platforms

  • Author

    Chrysos, Grigorios ; Sotiriades, Euripides ; Rousopoulos, Christos ; Pramataris, Kostas ; Papaefstathiou, Ioannis ; Dollas, Apostolos ; Papadopoulos, Agathoklis ; Kirmitzoglou, Ioannis ; Promponas, Vasilis J. ; Theocharides, Theocharis ; Petihakis, George

  • Author_Institution
    Tech. Univ. of Crete, Chania, Greece
  • Volume
    31
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    62
  • Lastpage
    73
  • Abstract
    This paper conducts a detailed survey on the use of FPGA-based reconfigurable computing platforms for a wide range of sequence and structural bioinformatics applications, with emphasis on performance and energy savings of the underlying architectures. Applications considered include sequence comparison, multiple sequence alignment, RNA and protein secondary structure prediction, gene prediction, and phylogenetic tree computation.
  • Keywords
    RNA; bioinformatics; energy conservation; field programmable gate arrays; genetics; molecular biophysics; proteins; FPGA-based bioinformatics acceleration platforms; FPGA-based reconfigurable computing platforms; RNA structure prediction; architecture energy savings; architecture performance; bioinformatics computational spectrum; field programmable gate array; gene prediction; multiple sequence alignment; phylogenetic tree computation; protein secondary structure prediction; sequence bioinformatics applications; sequence comparison; structural bioinformatics applications; Accelerators; Algorithm design and analysis; Bioinformatics; Computational biology; Computer architecture; Field programmable gate arrays; Hardware; Software algorithms;
  • fLanguage
    English
  • Journal_Title
    Design & Test, IEEE
  • Publisher
    ieee
  • ISSN
    2168-2356
  • Type

    jour

  • DOI
    10.1109/MDAT.2013.2284191
  • Filename
    6617681