DocumentCode
191062
Title
An SVM-based approach for discovering splicing junctions with RNA-Seq
Author
Chong Chu ; Yufeng Wu
Author_Institution
Comput. Sci. & Eng., Univ. of Connecticut, Storrs, CT, USA
fYear
2014
fDate
2-4 June 2014
Firstpage
1
Lastpage
1
Abstract
Because of the complicity of RNA splicing, discovering splicing junctions and aligning RNA-Seq reads with high sensitivity and specificity is still a challenging problem. In this paper, we propose an SVM-based approach for discovering splicing junctions with RNA-Seq data. The key idea of our approach is combining multiple sources of information contained in sequence data in discovering exon-intron boundaries. Results on simulated data suggest that our approach works well.
Keywords
RNA; biology computing; molecular biophysics; molecular configurations; support vector machines; RNA-seq data; SVM-based approach; exon-intron boundaries; multiple sources; sequence data; splicing junctions; Algorithm design and analysis; Bioinformatics; Genomics; Junctions; RNA; Sensitivity; Splicing; RNA-Seq reads alignment; Splicing junctions discovery; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
Conference_Location
Miami, FL
Print_ISBN
978-1-4799-5786-6
Type
conf
DOI
10.1109/ICCABS.2014.6863943
Filename
6863943
Link To Document