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riboWaltz:核糖体 P 位点在核糖体图谱数据中的优化定位。

riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data.

机构信息

Institute of Biophysics, CNR Unit at Trento, Trento, Italy.

Centre for Integrative Biology, University of Trento, Trento, Italy.

出版信息

PLoS Comput Biol. 2018 Aug 13;14(8):e1006169. doi: 10.1371/journal.pcbi.1006169. eCollection 2018 Aug.

Abstract

Ribosome profiling is a powerful technique used to study translation at the genome-wide level, generating unique information concerning ribosome positions along RNAs. Optimal localization of ribosomes requires the proper identification of the ribosome P-site in each ribosome protected fragment, a crucial step to determine the trinucleotide periodicity of translating ribosomes, and draw correct conclusions concerning where ribosomes are located. To determine the P-site within ribosome footprints at nucleotide resolution, the precise estimation of its offset with respect to the protected fragment is necessary. Here we present riboWaltz, an R package for calculation of optimal P-site offsets, diagnostic analysis and visual inspection of ribosome profiling data. Compared to existing tools, riboWaltz shows improved accuracies for P-site estimation and neat ribosome positioning in multiple case studies. riboWaltz was implemented in R and is available as an R package at https://github.com/LabTranslationalArchitectomics/RiboWaltz.

摘要

核糖体图谱分析是一种用于在全基因组水平上研究翻译的强大技术,它提供了有关 RNA 上核糖体位置的独特信息。核糖体的最佳定位需要正确识别每个核糖体保护片段中的核糖体 P 位,这是确定翻译核糖体三核苷酸周期性的关键步骤,并能正确得出核糖体所在位置的结论。为了在核苷酸分辨率下确定核糖体足迹中的 P 位,需要精确估计其相对于保护片段的偏移量。这里我们介绍了 riboWaltz,这是一个用于计算最佳 P 位偏移量、诊断分析和可视化核糖体图谱分析数据的 R 包。与现有工具相比,riboWaltz 在多个案例研究中显示出了改进的 P 位估计和核糖体定位准确性。riboWaltz 是用 R 语言实现的,可以在 https://github.com/LabTranslationalArchitectomics/RiboWaltz 上作为 R 包获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ca/6112680/6705d49091f2/pcbi.1006169.g001.jpg

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