4.6 Article

RiboPlotR: a visualization tool for periodic Ribo-seq reads

期刊

PLANT METHODS
卷 17, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13007-021-00824-4

关键词

Ribo-seq; 3-nucleotide periodicity; Isoform; Upstream ORF; Small ORF

资金

  1. Michigan State University
  2. National Science Foundation [2051885]
  3. Div Of Molecular and Cellular Bioscience
  4. Direct For Biological Sciences [2051885] Funding Source: National Science Foundation

向作者/读者索取更多资源

RiboPlotR is a visualization package in R that allows the visualization of translated features identified in Ribo-seq data. It presents Ribo-seq data within the context of gene structures for all annotated transcript isoforms of a gene, displaying reads for all three reading frames in different colors to assist in observing new translation events and potential regulatory mechanisms. RiboPlotR is freely available and can be accessed on GitHub and SourceForge.
Background: Ribo-seq has revolutionized the study of genome-wide mRNA translation. High-quality Ribo-seq data display strong 3-nucleotide (nt) periodicity, which corresponds to translating ribosomes deciphering three nts at a time. While 3-nt periodicity has been widely used to study novel translation events such as upstream ORFs in 5' untranslated regions and small ORFs in presumed non-coding RNAs, tools that allow the visualization of these events remain underdeveloped. Results: RiboPlotR is a visualization package written in R that presents both RNA-seq coverage and Ribo-seq reads in genomic coordinates for all annotated transcript isoforms of a gene. Specifically, for individual isoform models, RiboPlotR plots Ribo-seq data in the context of gene structures, including 5' and 3' untranslated regions and introns, and it presents the reads for all three reading frames in three different colors. The inclusion of gene structures and color-coding the reading frames facilitate observing new translation events and identifying potential regulatory mechanisms. Conclusions: RiboPlotR is freely available (https://github.com/hsinyenwu/RiboPlotR and https://sourceforge.net/projects/riboplotr/) and allows the visualization of translated features identified in Ribo-seq data.

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