A Non-EST-Based Method for Alternative 5´/3´ Splice Sites Prediction in the Mouse Genome

Author

Yang, Wuritu ; Li, Qian-zhong

Author_Institution

Dept. of Phys., Inner Mongolia Univ., Hohhot

fYear

2008

Firstpage

1901

Lastpage

1904

Abstract

The identification of alternative splice site in the mouse genome is an important part of the recent alternative splicing event prediction work. In this paper, a non-EST-based predicting method is proposed for alternative 5´/3´ splice sites identification. Only based on local sequence features, more than 72% of alternative splice sites and constitutive splice sites can be correctly classified in the mouse genome.

Keywords

genetics; medical computing; molecular biophysics; pattern classification; proteins; support vector machines; alternative 5´/3´ splice site prediction; local sequence features; mouse genome classification; nonexpressed sequence tag-based method; protein product; support vector machine; Bioinformatics; Diversity reception; Genomics; Humans; Mice; Proteins; Splicing; Support vector machine classification; Support vector machines; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1747-6

Electronic_ISBN

978-1-4244-1748-3

Type

conf

DOI

10.1109/ICBBE.2008.804

Filename

4535684

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1669860