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Efficient alignment of RNA secondary structures using sparse dynamic programming.

Cuncong Zhong¹, Shaojie Zhang

¹Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2362, USA. shzhang@eecs.ucf.edu.

BMC Bioinformatics

|September 10, 2013

Summary

This summary is machine-generated.

A new RNA secondary structure alignment tool, ERA, has been developed using sparse dynamic programming. This efficient and accurate algorithm significantly speeds up comparative RNA structurome studies.

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RNA Secondary Structure Prediction Using High-throughput SHAPE

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

Area of Science:

Bioinformatics
Computational Biology
Molecular Biology

Background:

Next-generation sequencing reveals numerous un-annotated RNA transcripts.
Comparative RNA structurome analysis is crucial for understanding biological functions.
Existing tools lack efficiency and accuracy for RNA secondary structure alignment.

Purpose of the Study:

To develop an efficient and accurate algorithm for RNA secondary structure alignment.
To address the need for computational tools in comparative RNA structurome studies.

Main Methods:

Incorporation of sparse dynamic programming technique.
Development of an algorithm with O(n3) expected time complexity.
Experimental validation of the algorithm's performance.

Main Results:

The developed tool, ERA, demonstrates significant speedup in RNA structure-structure alignments.
ERA maintains high alignment accuracy compared to state-of-the-art tools.
Benchmark results confirm the algorithm's efficiency and accuracy.

Conclusions:

ERA, an RNA secondary structure alignment tool, is both efficient and accurate.
The algorithm is expected to advance comparative RNA structure studies.
ERA is freely available for use at http://genome.ucf.edu/ERA.