• DocumentCode
    2581010
  • Title

    Comparative Analysis of Exon Skipping Patterns in Human and Mouse

  • Author

    Chiu, Yu-Wei ; Hsu, Fang-Rong ; Shan, Man-Kwan

  • Author_Institution
    Dept. of Comput. Sci., Nat. Cheng Chi Univ., Taipei
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    223
  • Lastpage
    2287
  • Abstract
    Alternative splicing of pre-mRNAs is a major mechanism of generating protein diversity in higher eukaryotes. It is well known that one of the major forms of alternative splicing is exon skipping, which alternatively skips specific exon during splicing. Previous research, by Miriami and his colleagues, was conducted by using a statistical method to identify two motifs both in upstream and downstream introns that were associated with exon skipping events. In this study, we employed pattern branching motif finding algorithm and approximate mining of consensus sequences algorithm. The data mining approach developed in the study showed its strength of being able to completely discover all possible motifs and made itself a more ideal approach compared to Miriami´s statistical one. Furthermore, because of the similarities in genes between human and mouse, we compared the two species´ motifs in our study. We also discovered the patterns are very likely associated with exon skipping event between human and mouse
  • Keywords
    biology computing; data mining; genetics; macromolecules; pattern recognition; proteins; sequences; statistical analysis; alternative splicing; consensus sequences algorithm; data mining; eukaryotes; exon skipping patterns; pattern branching motif; premRNA; protein diversity; statistical method; Bioinformatics; Computer science; Data mining; Databases; Genomics; Humans; Mice; Pattern analysis; Sequences; Splicing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
  • Conference_Location
    Krakow
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2641-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2006.42
  • Filename
    1698339