• DocumentCode
    1814631
  • Title

    Efficient algorithms and software for detection of full-length LTR retrotransposons

  • Author

    Kalyanaraman, Anantharaman ; Aluru, Srinivas

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    56
  • Lastpage
    64
  • Abstract
    LTR retrotransposons constitute one of the most abundant classes of repetitive elements in eukaryotic genomes. In this paper, we present a new algorithm for detection of full-length LTR retrotransposons in genomic sequences. The algorithm identifies regions in a genomic sequence that show structural characteristics of LTR retrotransposons. Three key components distinguish our algorithm from that of current software-(i) a novel method that preprocesses the entire genomic sequence in linear time and produces high quality pairs of LTR candidates in running time that is constant per pair, (ii) a thorough alignment-based evaluation of candidate pairs to ensure high quality prediction, and (Hi) a robust parameter set encompassing both structural constraints and quality controls providing users with a high degree of flexibility. Validation of both our serial and parallel implementations of the algorithm against the yeast genome indicates both superior quality and performance results when compared to existing software.
  • Keywords
    DNA; biology computing; genetics; microorganisms; molecular biophysics; LTR retrotransposon; alignment-based evaluation; eukaryotic genomes; genomic sequences; parallel implementation; robust parameter; set encompassing; yeast genome; Bioinformatics; DNA; Evolution (biology); Genomics; Organisms; Quality control; Robust control; Sequences; Software algorithms; Software quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Proceedings. 2005 IEEE
  • Print_ISBN
    0-7695-2344-7
  • Type

    conf

  • DOI
    10.1109/CSB.2005.31
  • Filename
    1498006