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Alternative splicing pattern analysis from RNA-Seq data
- Kong, Jin-Hwa;
- Lee, Un-Joo;
- Yoon, Jee-Hee;
- Lee, Jong-Keun;
- Won, Jung Im
Citations
SCOPUS
0초록
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.
키워드
Alternative splicing; Novel patterns; Parallel mapping; Pattern analysis; Simulated data; Gene expression; Information technology; RNA; Data mining
- 제목
- Alternative splicing pattern analysis from RNA-Seq data
- 저자
- Kong, Jin-Hwa; Lee, Un-Joo; Yoon, Jee-Hee; Lee, Jong-Keun; Won, Jung Im
- 발행일
- 2011-12
- 유형
- Conference Paper
- 저널명
- Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011
- 페이지
- 318 ~ 320
- 언어
- ENG
- 출판사
- IEEE
- 발행국가
- 미국
- 분량
- 3 페이지