• DocumentCode
    3031735
  • Title

    An exploration of individual RNA structural elements in RNA gene finding

  • Author

    Erho, Nicholas ; Wiese, Kay

  • Author_Institution
    Sch. of Comput. Sci., Simon Fraser Univ., Surrey, BC, Canada
  • fYear
    2010
  • fDate
    2-5 May 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    This paper explores the use of RNA structural elements for RNA gene finding. A classification experiment is performed in which several support vector machine models, based on the properties of individual RNA secondary structure elements, are trained and tested, revealing the structural elements which have properties useful for RNA gene finding. The study finds that the external loop and structure elements with classification accuracies of over 84% and the stemloop, hairpin, and tail elements with classification accuracies around 70% are the most likely structural elements to be successfully exploited by future RNA gene finders.
  • Keywords
    bioinformatics; macromolecules; organic compounds; pattern classification; support vector machines; RNA gene finding; RNA secondary structure elements; classification experiment; external loop element; hairpin element; individual RNA structural elements; stemloop element; structure element; support vector machine models; tail element; Bioinformatics; Explosions; Genomics; Performance evaluation; RNA; Sequences; Support vector machine classification; Support vector machines; Tail; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2010 IEEE Symposium on
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4244-6766-2
  • Type

    conf

  • DOI
    10.1109/CIBCB.2010.5510328
  • Filename
    5510328