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PMID: 29410279 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

StructureFold2: Bringing chemical probing data into the computational fold of RNA structural analysis.

Methods (San Diego, Calif.) ·Vol. 143 ·2018-00-01 ·Pages 12-15

Tack DC, Tang Y, Ritchey LE, Assmann SM, Bevilacqua PC

Abstract

The secondary structure of an RNA is often implicit to its function. Recently, various high-throughput RNA structure probing techniques have been developed to elucidate important RNA structure-function relationships genome-wide. These techniques produce unwieldy experimental data sets that require evaluation with unique computational pipelines. Herein, we present StructureFold2, a user-friendly set of analysis tools that makes precise data processing and detailed downstream analyses of such data sets both available and practical. StructureFold2 processes high-throughput reads sequenced from libraries prepared after experimental probing for reverse transcription (RT) stops generated by chemical modification of RNA at solvent accessible residues. This pipeline is able to analyze reads generated from a variety of structure-probing chemicals (e.g. DMS, glyoxal, SHAPE). Notably, StructureFold2 offers a new fully featured suite of utilities and tools to guide a user through multiple types of analyses. A particular emphasis is placed on analyzing the reactivity patterns of transcripts, complementing their use as folding restraints for predicting RNA secondary structure. StructureFold2 is hosted as a Github repository and is available at (https://github.com/StructureFold2/StructureFold2).

Keywords
DMS Glyoxal RNA structure SHAPE Structure-seq Structurome
MeSH Terms
Algorithms Computational Biology/instrumentation,methods Gene Expression Profiling/instrumentation,methods Genome High-Throughput Nucleotide Sequencing/instrumentation,methods Nucleic Acid Conformation RNA/chemistry,genetics Sequence Analysis, RNA/instrumentation,methods Software Transcriptome/genetics
Chemicals
RNA
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Tack David C
Department of Biology, Pennsylvania State University, University Park, PA 16802, USA; Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
Tang Yin
Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA.
Ritchey Laura E
Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA; Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA.
Assmann Sarah M
Department of Biology, Pennsylvania State University, University Park, PA 16802, USA; Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA. Electronic address: sma3@psu.edu.
Bevilacqua Philip C
Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA; Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA; Department of Biochemistry & Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA. Electronic address: pcb5@psu.edu.
Article Info
Journal
Methods (San Diego, Calif.)
Abbr.
Methods
ISSN
1095-9130
Published
2018-00-01
Epub
2018-00-02
Pages
12-15
Language
English
Region
United States
NLM ID
9426302
Subset
IM
Analysis Services
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