Evidence map›Paper›PMID 30102689›Full record

ArticlePLoS computational biology2018

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

Fabio Lauria, Toma Tebaldi, Paola Bernabò, Ewout J N Groen, Thomas H Gillingwater, Gabriella Viero

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

136 citing papers in PubMed, 224 citations in OpenAlex.

  1. Article
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  14. eLife · 2026
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76 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 2 countries.

Fabio LauriaInstitute of Biophysics, CNR Unit at Trento, Trento, Italy.
Toma TebaldiCentre for Integrative Biology, University of Trento, Trento, Italy.
Paola BernabòInstitute of Biophysics, CNR Unit at Trento, Trento, Italy.
Ewout J N GroenEuan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-2330-9444
Thomas H GillingwaterEuan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-0306-5577
Gabriella VieroInstitute of Biophysics, CNR Unit at Trento, Trento, Italy.ORCID 0000-0002-6755-285X
University of Trento · ITMott MacDonald (United Kingdom) · GB

Funding

Wellcome Trust 106098/Z/14/Z
6 · The paper itself

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.

Indexed as

Computational BiologyHigh-Throughput Nucleotide SequencingProtein BiosynthesisRibosomesRNA, MessengerSequence Analysis, RNASoftwareRNA, Messenger

Identifiers

PMID30102689
PMCPMC6112680
OpenAlexW2741666038

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.