DocumentCode :
3484101
Title :
Predicting KRAS-targeting MicroRNAs using in silico approach
Author :
Tee, Sim-Hui ; Lim, Sin-Liang
Author_Institution :
Faculty of Creative Multimedia, Multimedia University 63100 Cyberjaya, Malaysia
fYear :
2011
fDate :
5-6 Dec. 2011
Firstpage :
913
Lastpage :
916
Abstract :
MicroRNAs are small non-coding genes that regulate the expression of the protein-coding genes. As these microRNAs play a pivotal role in disease development, it is important for the bioinformaticians and geneticians to know the target genes. This research adopted in silico approach to predict the KRAS-targeting microRNAs. The computational results shed light on the type of microRNAs that gives rise to the development of diseases due to the misregulation of KRAS gene.
Keywords :
Computational tools; KRAS; bioinformatics; gene; in silico analysis; microRNAs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on
Conference_Location :
Penang, Malaysia
Print_ISBN :
978-1-4673-0021-6
Type :
conf
DOI :
10.1109/CHUSER.2011.6163870
Filename :
6163870
Link To Document :
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