A Fast Method for Aligning RNA Sequences
Author Information
Author(s): Tabei Yasuo, Kiryu Hisanori, Kin Taishin, Asai Kiyoshi
Primary Institution: Graduate School of Frontier Science, University of Tokyo
Hypothesis
Can we develop a faster algorithm for multiple structural alignments of RNA sequences that maintains accuracy?
Conclusion
The proposed method for structural alignment of multiple RNA sequences is fast enough for large-scale analyses with accuracies at least comparable to those of existing algorithms.
Supporting Evidence
- The method is at least as accurate as state-of-the-art algorithms.
- MXSCARNA is fast enough for large-scale analyses.
- The algorithm was tested on three benchmark datasets.
Takeaway
This study created a new tool that helps scientists quickly align RNA sequences, which is important for understanding their functions.
Methodology
The method uses a progressive alignment approach based on pairwise structural alignments and incorporates base-pairing probabilities.
Limitations
The accuracies for the alignments of long sequences have not yet been confirmed.
Digital Object Identifier (DOI)
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