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riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow.

Authors :
Cope AL
Anderson F
Favate J
Jackson M
Mok A
Kurowska A
Liu J
MacKenzie E
Shivakumar V
Tilton P
Winterbourne SM
Xue S
Kavoussanakis K
Lareau LF
Shah P
Wallace EWJ
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2022 Apr 12; Vol. 38 (8), pp. 2358-2360.
Publication Year :
2022

Abstract

Motivation: Ribosome profiling, or Ribo-seq, is the state-of-the-art method for quantifying protein synthesis in living cells. Computational analysis of Ribo-seq data remains challenging due to the complexity of the procedure, as well as variations introduced for specific organisms or specialized analyses.<br />Results: We present riboviz 2, an updated riboviz package, for the comprehensive transcript-centric analysis and visualization of Ribo-seq data. riboviz 2 includes an analysis workflow built on the Nextflow workflow management system for end-to-end processing of Ribo-seq data. riboviz 2 has been extensively tested on diverse species and library preparation strategies, including multiplexed samples. riboviz 2 is flexible and uses open, documented file formats, allowing users to integrate new analyses with the pipeline.<br />Availability and Implementation: riboviz 2 is freely available at github.com/riboviz/riboviz.<br /> (© The Author(s) 2022. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1367-4811
Volume :
38
Issue :
8
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
35157051
Full Text :
https://doi.org/10.1093/bioinformatics/btac093