• DocumentCode
    1125055
  • Title

    Detecting Localized Interspersed Motifs in Genomic Sequences

  • Author

    Jin, Victor X. ; Turcotte, Marcel

  • Author_Institution
    California UNiv., Davis
  • Volume
    56
  • Issue
    5
  • fYear
    2007
  • Firstpage
    1770
  • Lastpage
    1775
  • 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 play an important role in generating multi gene families. Here, we define the concept of localized interspersed motifs and present a computational approach for detecting them.
  • Keywords
    biology computing; genetics; statistical analysis; Eukaryotic genomes; genomic sequences; human genome; interferon gene family; localized interspersed motifs; multigene families; natural killer-gene complex; repeated sequences; sequence-comparison methods; Bioinformatics; Clustering algorithms; Diseases; Evolution (biology); Genomics; Humans; Phylogeny; Proteins; Sequences; Whales; Bioinformatics; clustering; genomes; sequence analysis; sequence repeats; statistical modeling;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2007.903606
  • Filename
    4303412