• DocumentCode
    586366
  • Title

    DNA motifs detection algorithms in long sequences

  • Author

    Voina, A.G. ; Pop, Petre G. ; Vaida, Mircea F.

  • Author_Institution
    Commun. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2012
  • fDate
    11-13 Nov. 2012
  • Firstpage
    169
  • Lastpage
    174
  • Abstract
    The identification of DNA motifs remains an active challenge for the researchers in the bioinformatics domain. A considerable effort in this area was concentrated on understanding the evolution of the genome by identifying the DNA binding sites for transcription factors. The evolution in genome sequencing has led to the appearance of numerous computational methods for finding the short DNA segments, known as motifs. In this study, we present some of the computational methods that exist and try to evaluate their performance in case of long sequences.
  • Keywords
    bioinformatics; DNA motifs detection algorithms; bioinformatics domain; genome sequencing; long sequences; transcription factors; Accuracy; Algorithm design and analysis; Bioinformatics; Classification algorithms; DNA; Databases; Genomics; Computational methods; binding sites; bioinformatics; motif finding algorithms; motifs localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4673-4357-2
  • Type

    conf

  • DOI
    10.1109/BIBE.2012.6399668
  • Filename
    6399668