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应用序列特征分析基因剪接信号

马猛 汪洋

计算机工程与应用2012,Vol.48Issue(27):180-185,6.
计算机工程与应用2012,Vol.48Issue(27):180-185,6.DOI:10.3778/j.issn.1002-8331.2012.27.038

应用序列特征分析基因剪接信号

Application of sequential feature to analyzing gene splicing signals

马猛 1汪洋2

作者信息

  • 1. 安徽大学计算机科学技术学院,合肥230032
  • 2. 美国北卡罗来纳大学教堂山分校药理学系,美国教堂山27599-7365
  • 折叠

摘要

Abstract

There are various splicing signals involved in the gene alternative splicing regulatory process, for example splice sites and splicing regulatory elements and so on. How to identify these splicing signals and explore the signals distribution rules throughout the genome is an interesting question. This paper presents a scoring algorithm based on sequential features and this method gives each signal a special score indicating its strength. The classifier constructed based on this scoring algorithm can be used to identify new splicing signals. Beside, the study on the splice sites and splicing regulatory elements distribution throughout genome using scoring system uncovers the two types of signals with complementary characteristics. This paper shows a new method for biology series' data analysis and presents a new way for the study of regulatory sequences that control gene expression.

关键词

序列特征/基因剪接/剪接位点/剪接调控元件

Key words

sequential feature/ gene splicing/ splice sites/ splicing regulatory elements

分类

信息技术与安全科学

引用本文复制引用

马猛,汪洋..应用序列特征分析基因剪接信号[J].计算机工程与应用,2012,48(27):180-185,6.

基金项目

安徽省自然科学基金(No.1208085QF120) (No.1208085QF120)

安徽大学博士科研启动基金(No.33190013). (No.33190013)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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