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Nucleic Acids Research Advance Access first published online on November 10, 2006
This version published online on December 1, 2006

Nucleic Acids Research, doi:10.1093/nar/gkl900
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© 2006 The Author(s).
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Computational Biology

Identification of alternative 5'/3' splice sites based on the mechanism of splice site competition

Huiyu Xia*, Jianning Bi and Yanda Li

Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University Beijing 100084, China

*To whom correspondence should be addressed. Tel/Fax: +86 10 62794295; Email: xiahuiyu00{at}mails.tsinghua.edu.cn, daulyd{at}tsinghua.edu.cn

Received April 14, 2006. Revised August 1, 2006. Accepted October 12, 2006.

Alternative splicing plays an important role in regulating gene expression. Currently, most efficient methods use expressed sequence tags or microarray analysis for large-scale detection of alternative splicing. However, it is difficult to detect all alternative splice events with them because of their inherent limitations. Previous computational methods for alternative splicing prediction could only predict particular kinds of alternative splice events. Thus, it would be highly desirable to predict alternative 5'/3' splice sites with various splicing levels using genomic sequences alone. Here, we introduce the competition mechanism of splice sites selection into alternative splice site prediction. This approach allows us to predict not only rarely used but also frequently used alternative splice sites. On a dataset extracted from the AltSplice database, our method correctly classified ~70% of the splice sites into alternative and constitutive, as well as ~80% of the locations of real competitors for alternative splice sites. It outperforms a method which only considers features extracted from the splice sites themselves. Furthermore, this approach can also predict the changes in activation level arising from mutations in flanking cryptic splice sites of a given splice site. Our approach might be useful for studying alternative splicing in both computational and molecular biology.


There has been an addition to the acknowledgements.


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M. Akerman and Y. Mandel-Gutfreund
Does distance matter? Variations in alternative 3' splicing regulation
Nucleic Acids Res., August 17, 2007; (2007) gkm603v1.
[Abstract] [Full Text] [PDF]



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