DocumentCode
559700
Title
Alternative splicing pattern analysis from RNA-Seq data
Author
Kong, Jin-Hwa ; Lee, Un-joo ; Yoon, Jee-hee ; Lee, Jong-Keun ; Won, Jung-Im
Author_Institution
Dept. of Comput. Eng., Hallym Univ., Chuncheon, South Korea
fYear
2011
fDate
24-26 Oct. 2011
Firstpage
318
Lastpage
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.
Keywords
biology computing; genetic engineering; genomics; macromolecules; splicing; RNA-Seq data; gene expression process; genomic sequence; parallel mapping; splicing pattern analysis; transcriptomic reference sequence; Bioinformatics; DNA; Gene expression; Genomics; Humans; Junctions; Splicing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining and Intelligent Information Technology Applications (ICMiA), 2011 3rd International Conference on
Conference_Location
Macao
Print_ISBN
978-1-4673-0231-9
Type
conf
Filename
6108452
Link To Document