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Updated: Nov 4, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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diffBUM-HMM: a robust statistical modeling approach for detecting RNA flexibility changes in high-throughput

Paolo Marangio1,2, Ka Ying Toby Law3, Guido Sanguinetti4,5,6

  • 1School of Informatics, The University of Edinburgh, Edinburgh, UK.

Genome Biology
|May 28, 2021
PubMed
Summary
This summary is machine-generated.

We developed diffBUM-HMM, a computational tool to accurately analyze RNA structure data from high-throughput sequencing. This noise-aware model reliably detects RNA flexibility and conformational changes, improving upon existing methods.

Keywords:
Hidden Markov modelHigh-throughput RNA structure probingRNA structural changes

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Area of Science:

  • Computational Biology
  • Molecular Biology
  • Bioinformatics

Background:

  • Next-generation sequencing advances RNA structural probing.
  • Computational tools are needed to interpret complex RNA structure data.
  • Existing methods struggle with noise and variability in probing data.

Purpose of the Study:

  • To present diffBUM-HMM, a novel computational model for RNA structure analysis.
  • To enable accurate detection of RNA flexibility and conformational changes.
  • To provide a robust tool for interpreting high-throughput RNA structure-probing data.

Main Methods:

  • Developed diffBUM-HMM, a noise-aware hidden Markov model.
  • Incorporated compatibility for various RNA probing chemistries.
  • Accounted for sampling variation and sequence coverage biases.

Main Results:

  • diffBUM-HMM accurately detects RNA flexibility and conformational changes.
  • The model demonstrates higher sensitivity and robustness against false positives compared to existing methods.
  • Successfully analyzed diverse RNA probing datasets.

Conclusions:

  • diffBUM-HMM is a valuable tool for quantitative RNA structural analysis.
  • The model facilitates the detection of RNA structural changes and RNA-binding protein interactions.
  • Enhances the interpretation of high-throughput RNA structure-probing experiments.