BioinformaticsBioinformaticsPeer-reviewed journal article
SHAPE directed RNA folding
Dominik Luntzer, Ronny LorenziD, Ivo L Hofacker, Peter F Stadler, Michael T. WolfingeriD
Abstract
SummaryChemical mapping experiments allow for nucleotide resolution assessment of RNA structure. We demonstrate that different strategies of integrating probing data with thermodynamics-based RNA secondary structure prediction algorithms can be implemented by means of soft constraints. This amounts to incorporating suitable pseudo-energies into the standard energy model for RNA secondary structures. As a showcase application for this new feature of the viennaRNA Package we compare three distinct, previously published strategies to utilize SHAPE reactivities for structure prediction. The new tool is benchmarked on a set of RNAs with known reference structure.\n\nAvailability and implementationThe capability for SHAPE directed RNA folding is part of the upcoming release of the viennaRNA Package 2.2, for which a preliminary release is already freely available at http://www.tbi.univie.ac.at/RNA.\n\nContactmichael.wolfinger@univie.ac.at\n\nSupplementary informationSupplementary data is attached.
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
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