Kirven Kobie J, Bevilacqua Philip C, Assmann Sarah M
Graduate Program in Bioinformatics and Genomics, Pennsylvania State University, University Park, PA 16802, United States.
Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, United States.
NAR Genom Bioinform. 2025 May 29;7(2):lqaf066. doi: 10.1093/nargab/lqaf066. eCollection 2025 Jun.
Single nucleotide polymorphisms (SNPs) can alter RNA structure by changing the proportions of existing conformations or leading to new conformations in the structural ensemble. Such structure-changing SNPs, or riboSNitches, have been associated with diseases in humans and climate adaptation in plants. While several computational tools are available for predicting whether an SNP is a riboSNitch, these tools were generally developed to analyze individual RNAs and are not optimized for genome-wide analyses. To fill this gap, we developed VariantFoldRNA, a flexible, containerized, and automated pipeline for genome-wide prediction of riboSNitches. Our pipeline automatically installs all dependencies, can be run locally or on high-performance clusters, and is modular, enabling the user to customize the analysis for the research question of interest. VariantFoldRNA can predict riboSNitches genome-wide at user-specified temperatures and splicing conditions, opening the door to novel analyses. The pipeline is an open-source command-line tool that is freely available at https://github.com/The-Bevilacqua-Lab/variantfoldrna.
单核苷酸多态性(SNPs)可通过改变现有构象的比例或在结构整体中产生新的构象来改变RNA结构。这种改变结构的SNPs,即核糖核酸开关,已与人类疾病和植物的气候适应性相关联。虽然有几种计算工具可用于预测一个SNP是否为核糖核酸开关,但这些工具通常是为分析单个RNA而开发的,并未针对全基因组分析进行优化。为了填补这一空白,我们开发了VariantFoldRNA,这是一个灵活、容器化且自动化的全基因组核糖核酸开关预测流程。我们的流程会自动安装所有依赖项,可在本地或高性能集群上运行,并且是模块化的,使用户能够针对感兴趣的研究问题定制分析。VariantFoldRNA可以在用户指定的温度和剪接条件下全基因组预测核糖核酸开关,为新的分析打开了大门。该流程是一个开源命令行工具,可在https://github.com/The-Bevilacqua-Lab/variantfoldrna上免费获取。