A new method based on entropy theory for genomic sequence analysis

被引:9
作者
Xiao, M
Zhu, ZZ
Liu, JP
Zhang, CY [1 ]
机构
[1] Wuhan Univ, Coll Life Sci, Inst Virol, Wuhan 430072, Peoples R China
[2] Wuhan Univ, Dept Phys, Wuhan 430072, Peoples R China
关键词
entropy; sequence analysis; sensitive positions; Classical Swine Fever Virus;
D O I
10.1023/A:1016587025917
中图分类号
Q [生物科学];
学科分类号
07 [理学]; 0710 [生物学]; 09 [农学];
摘要
We have refined entropy theory to explore the meaning of the increasing sequence data on nucleic acids and proteins more conveniently. The concept of selection constraint was not introduced, only the analyzed sequences themselves were considered. The refined theory serves as a basis for deriving a method to analyze non-coding regions (NCRs) as well as coding regions. Positions with maximal entropy might play the most important role in genome functions as opposed to positions with minimal entropy. This method was tested in the well-characterized coding regions of 12 strains of Classical Swine Fever Virus (CSFV) and non-coding regions of 20 strains of CSFV. It is suitable to analyze nucleic acid sequences of a complete genome and to detect sensitive positions for mutagenesis. As such, the method serves to formulate the basis for elucidating the functional mechanism.
引用
收藏
页码:155 / 165
页数:11
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