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riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow
Author(s) -
Alexander L. Cope,
Felicity Anderson,
John Favate,
Michael Jackson,
Amanda Mok,
Anna Kurowska,
Junchen Liu,
Emma MacKenzie,
Vikram S. Shivakumar,
Peter Tilton,
Sophie Winterbourne,
Siyin Xue,
Kostas Kavoussanakis,
Liana F. Lareau,
Premal Shah,
Edward W. Wallace
Publication year - 2022
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btac093
Subject(s) - workflow , computer science , visualization , profiling (computer programming) , pipeline (software) , data mining , open source , software , data exploration , database , programming language
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.

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