TY - JOUR
T1 - riboWaltz
T2 - Optimization of ribosome P-site positioning in ribosome profiling data
AU - Lauria, Fabio
AU - Tebaldi, Toma
AU - Bernabò, Paola
AU - Groen, Ewout J.N.
AU - Gillingwater, Thomas H.
AU - Viero, Gabriella
N1 - Publisher Copyright:
© 2018 Lauria et al. http://creativecommons.org/licenses/by/4.0/.
PY - 2018/8
Y1 - 2018/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85053078819&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1006169
DO - 10.1371/journal.pcbi.1006169
M3 - Article
C2 - 30102689
AN - SCOPUS:85053078819
SN - 1553-734X
VL - 14
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 8
M1 - e1006169
ER -