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

Bioinformatics. 2022 Apr 12;38(8):2358-2360. doi: 10.1093/bioinformatics/btac093.

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.

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.

Availability and implementation: riboviz 2 is freely available at github.com/riboviz/riboviz.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Analysis
  • RNA, Messenger / metabolism
  • Ribosome Profiling*
  • Ribosomes* / genetics
  • Ribosomes* / metabolism
  • Sequence Analysis, RNA / methods
  • Workflow

Substances

  • RNA, Messenger

Associated data

  • figshare/10.6084/m9.figshare.12624200