fulltext.study @t Gmail

Computational identification of circular RNAs based on conformational and thermodynamic properties in the flanking introns

Paper ID Volume ID Publish Year Pages File Format Full-Text
14946 1362 2016 5 PDF Available
Title
Computational identification of circular RNAs based on conformational and thermodynamic properties in the flanking introns
Abstract

•A computational method was proposed to distinguish circRNAs from non-circularized, expressed exons.•Thermodynamic and conformational properties were extracted for model training.•Two feature selection methods were used to construct the optimized feature subset.•Our method received a high performance using 10-fold cross-validation on the training dataset.

Circular RNAs (circRNAs) were found more than 30 years ago, but have been treated as molecular flukes in a long time. Combining deep sequencing studies with bioinformatics technique, thousands of endogenous circRNAs have been found in mammalian cells, and some researchers have proved that several circRNAs act as competing endogenous RNAs (ceRNAs) to regulate gene expression. However, the mechanism by which the precursor mRNA to be transformed into a circular RNA or a linear mRNA is largely unknown. In this paper, we attempted to bioinformatically identify shared genomic features that might further elucidate the mechanism of formation and proposed a SVM-based model to distinguish circRNAs from non-circularized, expressed exons. Firstly, conformational and thermodynamic dinucleotide properties in the flanking introns were extracted as potential features. Secondly, two feature selection methods were applied to gain the optimal feature subset. Our 10-fold cross-validation results showed that the model can be used to distinguish circRNAs from non-circularized, expressed exons with an Sn of 0.884, Sp of 0.900, ACC of 0.892, MCC of 0.784, respectively. The identification results suggest that conformational and thermodynamic properties in the flanking introns are closely related to the formation of circRNAs. Datasets and the tool involved in this paper are all available at https://sourceforge.net/projects/predicircrnatool/files/.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slide

Keywords
Circular RNA; Competing endogenous RNA; Support vector machine; 10-Fold cross-validation
First Page Preview
Computational identification of circular RNAs based on conformational and thermodynamic properties in the flanking introns
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us
Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 61, April 2016, Pages 221–225
Authors
, , , , ,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us