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Alternative splicing pattern analysis from RNA-Seq data
- Issue Date
- Dec-2011
- Publisher
- IEEE
- Citation
- Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011, pp.318 - 320
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- SCOPUS
- Journal Title
- Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011
- Start Page
- 318
- End Page
- 320
- Abstract
- This work proposes a novel method to identify alternative splicing patterns and analyze the distribution variations in a given gene expression process. The proposed method is based on parallel mapping of RNA-Seq reads to both genomic and transcriptomic reference sequences. The preliminary results conducted with simulated data showed the prominent efficiency in disclosing novel patterns of alternative splicing.
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Collections - 서울 공과대학 > 서울 공학교육혁신센터 > 1. Journal Articles
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Related Researcher
- Won, Jung Im
- COLLEGE OF ENGINEERING (INNOVATION CENTER FOR ENGINEERING EDUCATION)