• DocumentCode
    452788
  • Title

    Detecting Localized Interspersed Motifs in Genomic Sequences

  • Author

    Jin, Victor ; Turcotte, Marcel

  • Author_Institution
    Human Cancer Genetics Program Molecular Virology, Immunology & Med. Genetics, Ohio State Univ., Columbus, OH
  • Volume
    1
  • fYear
    2005
  • fDate
    16-19 May 2005
  • Firstpage
    267
  • Lastpage
    270
  • Abstract
    Repeated sequences account for a significant fraction of Eukaryotic genomes - nearly half of the human genome consists of repeated sequence elements. Several elements have been linked to diseases. Consequently, identifying and characterizing repeated elements is essential for understanding diseases at the molecular level. Repeated sequences vary from one genome to another and are therefore difficult to identify using sequence comparison methods alone. Certain gene families, such as the interferon gene family or the natural killer gene complex, have been found to be clustered together in the genome. Several observations have lead to the hypothesis that specific sequence repeats could be playing an important role in generating multigene families. Here, we define the concept of localized interspersed motifs and present a computational approach for detecting them
  • Keywords
    DNA; genetics; pattern recognition; DNA; Eukaryotic genomes; clustering; genomic sequences; localized interspersed motifs; molecular sequence analysis; repetitive elements; Bioinformatics; Cancer; Clustering algorithms; DNA; Diseases; Genetics; Genomics; Humans; Immune system; Sequences; DNA; Molecular sequence analysis; clustering; repetitive elements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    0-7803-8879-8
  • Type

    conf

  • DOI
    10.1109/IMTC.2005.1604114
  • Filename
    1604114