PLoS Computational Biology (Aug 2018)

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

DOI
https://doi.org/10.1371/journal.pcbi.1006169
Journal volume & issue
Vol. 14, no. 8
p. e1006169

Abstract

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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.