VariantFoldRNA:一个灵活的,容器化的,可扩展的全基因组riboSNitch预测管道。

IF 2.8 Q1 GENETICS & HEREDITY
NAR Genomics and Bioinformatics Pub Date : 2025-05-29 eCollection Date: 2025-06-01 DOI:10.1093/nargab/lqaf066
Kobie J Kirven, Philip C Bevilacqua, Sarah M Assmann
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引用次数: 0

摘要

单核苷酸多态性(SNPs)可以通过改变现有构象的比例或在结构集合中导致新的构象来改变RNA结构。这种改变结构的snp或ribosnitch与人类疾病和植物的气候适应有关。虽然有几种计算工具可用于预测SNP是否为riboSNitch,但这些工具通常用于分析单个rna,并没有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,这是一种灵活的、容器化的、自动化的riboSNitches全基因组预测管道。我们的管道自动安装所有依赖项,可以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预测全基因组的ribohnich,为新的分析打开了大门。该管道是一个开源命令行工具,可以在https://github.com/The-Bevilacqua-Lab/variantfoldrna上免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

VariantFoldRNA: a flexible, containerized, and scalable pipeline for genome-wide riboSNitch prediction.

VariantFoldRNA: a flexible, containerized, and scalable pipeline for genome-wide riboSNitch prediction.

VariantFoldRNA: a flexible, containerized, and scalable pipeline for genome-wide riboSNitch prediction.

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.

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来源期刊
CiteScore
8.00
自引率
2.20%
发文量
95
审稿时长
15 weeks
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