StructureFold : Genome-wide RNA secondary structure mapping and reconstruction in vivo

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

36 Scopus Citations
View graph of relations

Author(s)

  • Yin Tang
  • Emil Bouvier
  • Yiliang Ding
  • Anton Nekrutenko
  • Philip C. Bevilacqua
  • Sarah M. Assmann

Detail(s)

Original languageEnglish
Pages (from-to)2668-2675
Journal / PublicationBioinformatics
Volume31
Issue number16
Publication statusPublished - 19 Jan 2015
Externally publishedYes

Abstract

Motivation: RNAs fold into complex structures that are integral to the diverse mechanisms underlying RNA regulation of gene expression. 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 profiling 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 transcriptome. StructureFold automates the processing and analysis of raw high-throughput RNA structure profiling data, allowing the seamless incorporation of wet-bench structural information from chemical probes and/or ribonucleases to restrain RNA secondary structure prediction via the RNAstructure and ViennaRNA package algorithms. StructureFold performs reads mapping and alignment, normalization and reactivity derivation, and RNA structure prediction in a single user-friendly web interface or via local installation. The variation in transcript abundance and length that prevails in living cells and consequently causes variation in the counts of structure-probing events between transcripts is accounted for. Accordingly, StructureFold is applicable to RNA structural profiling data obtained in vivo as well as to in vitro or in silico datasets. StructureFold is deployed via the Galaxy platform. Availability and Implementation: StructureFold is freely available as a component of Galaxy available at: https://usegalaxy.org/.

Citation Format(s)

StructureFold: Genome-wide RNA secondary structure mapping and reconstruction in vivo. / Tang, Yin; Bouvier, Emil; Kwok, Chun Kit et al.
In: Bioinformatics, Vol. 31, No. 16, 19.01.2015, p. 2668-2675.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review