Evidence map›Paper›PMID 34876166›Full record

ArticlePlant methods2021

RiboPlotR: a visualization tool for periodic Ribo-seq reads.

Hsin-Yen Larry Wu, Polly Yingshan Hsu

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. TheGenome research · 2025
    Article
  4. A review of Ribosome profiling and tools used in Ribo-seq data analysis.Computational and structural biotechnology journal · 2024
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Hsin-Yen Larry WuDepartment of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA.ORCID http://orcid.org/0000-0001-9407-338X
Polly Yingshan HsuDepartment of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA. pollyhsu@msu.edu.ORCID http://orcid.org/0000-0001-7071-5798
Michigan State University · US

Funding

Michigan State University Startup fundNational Science Foundation 2051885
6 · The paper itself

Abstract

backgroundRibo-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.

resultsRiboPlotR 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.

conclusionsRiboPlotR 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.

Indexed as

3-nucleotide periodicityIsoformRibo-seqSmall ORFUpstream ORF

Identifiers

PMID34876166
PMCPMC8650366
OpenAlexW4205168638

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.