Abstract
Summary: The rapidly increasing number of discovered non-coding RNAs makes the understanding of their structure a key feature toward a deeper comprehension of gene expression regulation. Various enzymatic- and chemically- based approaches have been recently developed to allow whole-genome studies of RNA secondary structures. Several methods have been recently presented that allow high-throughput RNA structure probing (CIRS-seq, Structure-seq, SHAPE-seq, PARS, etc.) and unbiased structural inference of residues within RNAs in their native conformation. We here present an analysis toolkit, named RNA Structure Framework (RSF), which allows fast and fully-automated analysis of high-throughput structure probing data, from data pre-processing to whole-transcriptome RNA structure inference.
Cite
CITATION STYLE
Incarnato, D., Neri, F., Anselmi, F., & Oliviero, S. (2016). RNA structure framework: Automated transcriptome-wide reconstruction of RNA secondary structures from high-throughput structure probing data. Bioinformatics, 32(3), 459–461. https://doi.org/10.1093/bioinformatics/btv571
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