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A Rapid High-throughput Method for Mapping Ribonucleoproteins (RNPs) on Human pre-mRNA

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Published on: December 2, 2009

BlastR--fast and accurate database searches for non-coding RNAs.

Giovanni Bussotti¹, Emanuele Raineri, Ionas Erb

¹Bioinformatics and Genomics program, Center for Genomic Regulation (CRG) and UPF, Barcelona, C/ D. Aiguader, 88, 08003 Barcelona, Spain.

Nucleic Acids Research

|June 1, 2011

Summary

BlastR is a new method for searching non-coding RNAs (ncRNAs) by comparing di-nucleotides with the BlosumR substitution matrix. This approach enhances sensitivity and speed compared to existing methods like BlastN and BlastP.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Accurate searching of non-coding RNA sequences is crucial for understanding gene regulation and function.
Existing sequence alignment tools like BlastN and BlastP have limitations in sensitivity and speed for non-coding RNA analysis.

Purpose of the Study:

To introduce and validate BlastR, a novel method for efficient and accurate non-coding RNA sequence searching.
To compare the performance of BlastR against established bioinformatics tools.

Main Methods:

Developed BlastR, a method utilizing di-nucleotide comparison with a new log-odd substitution matrix, BlosumR.
Recoded RNA sequences into protein-like sequences for compatibility with protein alignment algorithms.
Benchmarked BlastR against BlastN and BlastP using Rfam as a gold standard.

Main Results:

BlastR demonstrated higher sensitivity than BlastN for non-coding RNA searches.
BlastR proved to be faster and more sensitive than BlastP when using a single nucleotide substitution matrix.
When combined with WU-BlastP, BlastR showed a 5% increase in accuracy over WU-BlastN, albeit with a 50-fold increase in speed.

Conclusions:

BlastR offers a significant improvement in sensitivity and efficiency for non-coding RNA sequence searching.
The BlosumR substitution matrix and the recoding strategy are effective for aligning RNA sequences.
BlastR is a valuable open-source tool for the bioinformatics community, compatible with both WU-BlastP and NCBI-Blast packages.