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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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.
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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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