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RNA Secondary Structure Prediction Using High-throughput SHAPE
Published on: May 31, 2013
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ASPRAlign: a tool for the alignment of RNA secondary structures with arbitrary pseudoknots.
Michela Quadrini1, Luca Tesei2, Emanuela Merelli2
1Department of Information Engineering, University of Padua, Padova 35131, Italy.
Bioinformatics (Oxford, England)
|March 4, 2020
Summary
ASPRAlign is a new Java tool for comparing RNA secondary structures, including those with complex pseudoknots. It uses algebraic tree representations and computes an ASPRA distance with O(n2) complexity.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Biology
Background:
- RNA secondary structure comparison is crucial for understanding RNA function.
- Existing methods often struggle with complex RNA structures containing pseudoknots.
Purpose of the Study:
- To introduce ASPRAlign, a novel Java tool for aligning RNA secondary structures.
- To enable comparison of RNA structures, including those with arbitrary pseudoknots.
Main Methods:
- ASPRAlign utilizes algebraic tree representations of RNA structures, disregarding the primary sequence.
- It employs a novel comparison measure, the ASPRA distance.
- The algorithm has a worst-case time complexity of O(n2).
Main Results:
- ASPRAlign successfully aligns RNA secondary structures with arbitrary pseudoknots.
- The ASPRA distance provides a quantitative measure for comparing these structures.
Conclusions:
- ASPRAlign overcomes limitations of previous methods by handling pseudoknots.
- This tool facilitates more comprehensive analysis of RNA secondary structures.
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