The RNAsnp web server: predicting SNP effects on local RNA secondary structure

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• RNA secondary structure is crucial for the function of non-coding RNAs and mRNA regulatory elements.
• Single nucleotide polymorphisms (SNPs) and mutations can disrupt RNA structure, leading to altered molecular function and phenotypic effects.

Purpose of the Study:

• To present a web service for predicting the impact of SNPs on local RNA secondary structure using the RNAsnp method.
• To provide a user-friendly interface with graphical output and integration with the UCSC Genome Browser for genomic sequence analysis.

Main Methods:

• Utilizes RNA folding algorithms from the Vienna RNA package.
• Employs empirical P-values derived from pre-computed tables for efficient SNP effect quantification.
• Integrates with a local UCSC Genome Browser mirror for sequence selection and result visualization.

Main Results:

• The RNAsnp web server offers an efficient prediction of SNP effects on RNA secondary structure.
• Provides graphical representations of predicted structural changes.
• Facilitates direct visualization of results within the UCSC Genome Browser.

Conclusions:

• The RNAsnp web server is a valuable tool for researchers studying the functional consequences of genetic variations on RNA structure.
• Enables efficient prediction and visualization of SNP-induced RNA structure alterations.
• Supports the investigation of genotype-phenotype relationships at the molecular level.