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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-6112680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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