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.

riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data / Lauria, Fabio; Tebaldi, Toma; Bernabo, Paola; Groen, Ewout J. N.; Gillingwater, Thomas H.; Viero, Gabriella. - In: PLOS COMPUTATIONAL BIOLOGY. - ISSN 1553-734X. - 14:8(2018), pp. e1006169.1-e1006169.20. [10.1371/journal.pcbi.1006169]

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

Tebaldi, Toma;
2018-01-01

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.
2018
8
Lauria, Fabio; Tebaldi, Toma; Bernabo, Paola; Groen, Ewout J. N.; Gillingwater, Thomas H.; Viero, Gabriella
riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data / Lauria, Fabio; Tebaldi, Toma; Bernabo, Paola; Groen, Ewout J. N.; Gillingwater, Thomas H.; Viero, Gabriella. - In: PLOS COMPUTATIONAL BIOLOGY. - ISSN 1553-734X. - 14:8(2018), pp. e1006169.1-e1006169.20. [10.1371/journal.pcbi.1006169]
File in questo prodotto:
File Dimensione Formato  
2018_Lauria_Tebaldi_PLoS_Comput_Biol.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 6.41 MB
Formato Adobe PDF
6.41 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/328067
Citazioni
  • ???jsp.display-item.citation.pmc??? 38
  • Scopus 112
  • ???jsp.display-item.citation.isi??? 113
  • OpenAlex ND
social impact