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By Yin Tang and Philip C. Bevilacqua

Abstract

Motivation: RNAs fold into complex structures that are integral to the diverse mechanisms underlying RNA regulation of gene expres-sion. Recent development of transcriptome-wide RNA structure profiling through the application of structure-probing enzymes or chemicals combined with high-throughput sequencing has opened a new field that greatly expands the amount of in vitro and in vivo RNA structural information available. The resultant datasets provide the opportunity to investigate RNA structural information on a global scale. However, the analysis of high-throughput RNA structure pro-filing data requires considerable computational effort and expertise. Results: We present a new platform, StructureFold, that provides an integrated computational solution designed specifically for large-scale RNA structure mapping and reconstruction across any tran-scriptome. StructureFold automates the processing and analysis o

Year: 2016
OAI identifier: oai:CiteSeerX.psu:10.1.1.1006.9014
Provided by: CiteSeerX
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