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riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow
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 an...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004635/ https://www.ncbi.nlm.nih.gov/pubmed/35157051 http://dx.doi.org/10.1093/bioinformatics/btac093 |
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author | Cope, Alexander L Anderson, Felicity Favate, John Jackson, Michael Mok, Amanda Kurowska, Anna Liu, Junchen MacKenzie, Emma Shivakumar, Vikram Tilton, Peter Winterbourne, Sophie M Xue, Siyin Kavoussanakis, Kostas Lareau, Liana F Shah, Premal Wallace, Edward W J |
author_facet | Cope, Alexander L Anderson, Felicity Favate, John Jackson, Michael Mok, Amanda Kurowska, Anna Liu, Junchen MacKenzie, Emma Shivakumar, Vikram Tilton, Peter Winterbourne, Sophie M Xue, Siyin Kavoussanakis, Kostas Lareau, Liana F Shah, Premal Wallace, Edward W J |
author_sort | Cope, Alexander L |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9004635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90046352022-04-13 riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow Cope, Alexander L Anderson, Felicity Favate, John Jackson, Michael Mok, Amanda Kurowska, Anna Liu, Junchen MacKenzie, Emma Shivakumar, Vikram Tilton, Peter Winterbourne, Sophie M Xue, Siyin Kavoussanakis, Kostas Lareau, Liana F Shah, Premal Wallace, Edward W J Bioinformatics Applications Note 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. Oxford University Press 2022-02-14 /pmc/articles/PMC9004635/ /pubmed/35157051 http://dx.doi.org/10.1093/bioinformatics/btac093 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Cope, Alexander L Anderson, Felicity Favate, John Jackson, Michael Mok, Amanda Kurowska, Anna Liu, Junchen MacKenzie, Emma Shivakumar, Vikram Tilton, Peter Winterbourne, Sophie M Xue, Siyin Kavoussanakis, Kostas Lareau, Liana F Shah, Premal Wallace, Edward W J riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow |
title | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow |
title_full | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow |
title_fullStr | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow |
title_full_unstemmed | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow |
title_short | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow |
title_sort | riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004635/ https://www.ncbi.nlm.nih.gov/pubmed/35157051 http://dx.doi.org/10.1093/bioinformatics/btac093 |
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