Identifying the Target from RNA Structure Ensemble

The demo presents the ensemble tree, a hierarchical bi-partition of the ensemble of structures.
We focus on how to identify a target from a Boltzmann ensemble of secondary structures. The key idea is to employ an information-theoretic approach to solve the problem, via considering a variant of the Rényi-Ulam game. Our framework is centered around the ensemble tree, a hierarchical bi-partition of the input ensemble, that is constructed by recursively querying about whether or not a base pair of maximum information entropy is contained in the target. These queries are answered via relating local with global chemical probing data, employing the modularity in RNA secondary structures (see References).
  • Contributed by: Thomas J.X. Li


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[1] Thomas J.X. Li and Christian M. Reidys (2019) "On an enhancement of RNA probing data using Information Theory", arXiv:1909.05744
[2] Mathematica Package: RNAStructureIdentifier