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

Articolo
Data di Pubblicazione:
2018
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
open reading frames; messenger-rna; genome-wide; in-vivo; protein-synthesis; translation; reveals; dynamics; initiation
Elenco autori:
Lauria, Fabio; Bernabo', Paola; Viero, Gabriella
Autori di Ateneo:
VIERO GABRIELLA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/350181
Pubblicato in:
PLOS COMPUTATIONAL BIOLOGY (ONLINE)
Journal
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