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

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 cr...

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Detalles Bibliográficos
Autores principales: Lauria, Fabio, Tebaldi, Toma, Bernabò, Paola, Groen, Ewout J. N., Gillingwater, Thomas H., Viero, Gabriella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112680/
https://www.ncbi.nlm.nih.gov/pubmed/30102689
http://dx.doi.org/10.1371/journal.pcbi.1006169
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author Lauria, Fabio
Tebaldi, Toma
Bernabò, Paola
Groen, Ewout J. N.
Gillingwater, Thomas H.
Viero, Gabriella
author_facet Lauria, Fabio
Tebaldi, Toma
Bernabò, Paola
Groen, Ewout J. N.
Gillingwater, Thomas H.
Viero, Gabriella
author_sort Lauria, Fabio
collection PubMed
description 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.
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spelling pubmed-61126802018-09-15 riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data Lauria, Fabio Tebaldi, Toma Bernabò, Paola Groen, Ewout J. N. Gillingwater, Thomas H. Viero, Gabriella PLoS Comput Biol Research Article 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. Public Library of Science 2018-08-13 /pmc/articles/PMC6112680/ /pubmed/30102689 http://dx.doi.org/10.1371/journal.pcbi.1006169 Text en © 2018 Lauria et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lauria, Fabio
Tebaldi, Toma
Bernabò, Paola
Groen, Ewout J. N.
Gillingwater, Thomas H.
Viero, Gabriella
riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data
title riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data
title_full riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data
title_fullStr riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data
title_full_unstemmed riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data
title_short riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data
title_sort ribowaltz: optimization of ribosome p-site positioning in ribosome profiling data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112680/
https://www.ncbi.nlm.nih.gov/pubmed/30102689
http://dx.doi.org/10.1371/journal.pcbi.1006169
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