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2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (2012)
Philadelphia, USA USA
Oct. 4, 2012 to Oct. 7, 2012
ISBN: 978-1-4673-2746-6
pp: 558-563
Jasjit K. Banwait , College of Information Sciences and Technology, University of Nebraska at Omaha, Omaha, NE, USA
Hesham Ali , College of Information Sciences and Technology, University of Nebraska at Omaha, Omaha, NE, USA
Dhundy K Bastola , College of Information Sciences and Technology, University of Nebraska at Omaha, Omaha, NE, USA
ABSTRACT
MicroRNAs are small (approx. 22nt) noncoding RNAs that regulate gene expression by either degrading messenger-RNA (mRNA) that has already been transcribed or by repressing the translation of mRNA. This mechanism of gene regulation by binding of the miRNA to 3-prime-UTR of target mRNAs has been recently discovered and sequence-specific post-transcriptional gene regulation process affects large set of genes involved in number of biological pathways. Mapping of 7nt long miRNAseed sequence to the target gene has been a standard way of predicting miRNA targets. In this study, we have generated a profile-based filter to increase the specificity of human miRNA-mRNA relationship thereby enriching true-positive miRNA target sitesin humans based on sequence information.
INDEX TERMS
target prediction, gene regulation, microRNA, miRNA, non-coding RNAs
CITATION

J. K. Banwait, H. Ali and D. K. Bastola, "Enriching miRNA binding site specificity with sequence profile based filtering of 3'-UTR region of mRNA," 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops(BIBMW), Philadelphia, USA USA, 2012, pp. 558-563.
doi:10.1109/BIBMW.2012.6470200
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