English  |  正體中文  |  简体中文  |  Items with full text/Total items : 17775/20116 (88%)
Visitors : 9050754      Online Users : 483
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/181

    標題: 以局部碎形分布比例指數分析法分析GenBank基因資料庫之DNA序列
    作者: 蘇志遠
    貢獻者: 資訊管理系
    關鍵字: DNA sequence
    local scaling analysis
    Hölder exponent
    日期: 2007
    上傳時間: 2008-05-13 14:28:54 (UTC+8)
    出版者: 台南縣:嘉南藥理科技大學資訊管理系
    摘要: Base sequences of deoxyribonucleic acid (DNA) in an organism carry all the instructions
    regarding its growth and development. On the surface, such sequences seem irregular; yet in reality,
    they are symbolic sequences with an organized structure. This study investigates the characteristics
    of base arrangement and distribution in DNA sequences from the fractal theory viewpoint. In
    addition to multifractal features demonstrated by the DNA sequence, this study also compares the
    multifractal spectra derived from a particular family of gene among several different species. The
    results reveal that a considerable correlation exists between base distribution and evolutionary order.
    Furthermore, local scaling exponent (Hölder exponent) differences between coding segments (exon)
    and non-coding segments (intron) are also examined. It is suggested that such differences in the
    local distribution of bases can be applied to find coding segments within the DNA sequence that is
    to be translated into protein. This local scaling analysis is feasible and has the potential to become
    an effective tool for rapid location of possible coding sites in DNA sequences. The authors hope
    that future studies using more complicated bioinformatics methods for analyzing DNA sequences
    can benefit from this study.
    關聯: 計畫編號 : CN9637
    Appears in Collections:[資訊管理系] 校內計畫

    Files in This Item:

    File Description SizeFormat
    96CN9637.pdf2814KbAdobe PDF851View/Open

    All items in CNU IR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback