Title
Computational identification of protein binding sites on RNAs using high-throughput RNA structure-probing data.
Abstract
Motivation: High-throughput sequencing has been used to probe RNA structures, by treating RNAs with reagents that preferentially cleave or mark certain nucleotides according to their local structures, followed by sequencing of the resulting fragments. The data produced contain valuable information for studying various RNA properties. Results: We developed methods for statistically modeling these structure-probing data and extracting structural features from them. We show that the extracted features can be used to predict RNA 'zipcodes'in yeast, regions bound by the She complex in asymmetric localization. The prediction accuracy was better than using raw RNA probing data or sequence features. We further demonstrate the use of the extracted features in identifying binding sites of RNA binding proteins from whole-transcriptome global photoactivatable-ribonucleoside-enhanced cross-linking and immunopurification (gPAR-CLIP) data.
Year
DOI
Venue
2014
10.1093/bioinformatics/btt757
BIOINFORMATICS
Field
DocType
Volume
RNA,Plasma protein binding,Cleave,Binding site,Nucleic acid structure,Computer science,RNA-binding protein,Nucleotide,Bioinformatics,Throughput
Journal
30
Issue
ISSN
Citations 
8
1367-4803
1
PageRank 
References 
Authors
0.35
3
7
Name
Order
Citations
PageRank
Xihao Hu1112.01
Thomas K. F. Wong2899.80
Zhi John Lu3314.78
Ting-Fung Chan4206.53
Terrence Chi Kong Lau520.72
Siu-ming Yiu6102692.90
Kevin Y. Yip760038.39