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RiboDoc: A Docker-based package for ribosome profiling analysis
Ribosome profiling (RiboSeq) has emerged as a powerful technique for studying the genome-wide regulation of translation in various cells. Several steps in the biological protocol have been improved, but the bioinformatics part of RiboSeq suffers from a lack of standardization, preventing the straigh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141510/ https://www.ncbi.nlm.nih.gov/pubmed/34093996 http://dx.doi.org/10.1016/j.csbj.2021.05.014 |
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author | François, Pauline Arbes, Hugo Demais, Stéphane Baudin-Baillieu, Agnès Namy, Olivier |
author_facet | François, Pauline Arbes, Hugo Demais, Stéphane Baudin-Baillieu, Agnès Namy, Olivier |
author_sort | François, Pauline |
collection | PubMed |
description | Ribosome profiling (RiboSeq) has emerged as a powerful technique for studying the genome-wide regulation of translation in various cells. Several steps in the biological protocol have been improved, but the bioinformatics part of RiboSeq suffers from a lack of standardization, preventing the straightforward and complete reproduction of published results. Too many published studies provide insufficient detail about the bioinformatics pipeline used. The broad range of questions that can be asked with RiboSeq makes it difficult to use a single bioinformatics tool. Indeed, many scripts have been published for addressing diverse questions. Here (https://github.com/equipeGST/RiboDoc), we propose a unique tool (for use with multiple operating systems, OS) to standardize the general steps that must be performed systematically in RiboSeq analysis, together with the statistical analysis and quality control of the sample. The data generated can then be exploited with more specific tools. We hope that this tool will help to standardize bioinformatics analyses pipelines in the field of translation. |
format | Online Article Text |
id | pubmed-8141510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-81415102021-06-03 RiboDoc: A Docker-based package for ribosome profiling analysis François, Pauline Arbes, Hugo Demais, Stéphane Baudin-Baillieu, Agnès Namy, Olivier Comput Struct Biotechnol J Research Article Ribosome profiling (RiboSeq) has emerged as a powerful technique for studying the genome-wide regulation of translation in various cells. Several steps in the biological protocol have been improved, but the bioinformatics part of RiboSeq suffers from a lack of standardization, preventing the straightforward and complete reproduction of published results. Too many published studies provide insufficient detail about the bioinformatics pipeline used. The broad range of questions that can be asked with RiboSeq makes it difficult to use a single bioinformatics tool. Indeed, many scripts have been published for addressing diverse questions. Here (https://github.com/equipeGST/RiboDoc), we propose a unique tool (for use with multiple operating systems, OS) to standardize the general steps that must be performed systematically in RiboSeq analysis, together with the statistical analysis and quality control of the sample. The data generated can then be exploited with more specific tools. We hope that this tool will help to standardize bioinformatics analyses pipelines in the field of translation. Research Network of Computational and Structural Biotechnology 2021-05-07 /pmc/articles/PMC8141510/ /pubmed/34093996 http://dx.doi.org/10.1016/j.csbj.2021.05.014 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article François, Pauline Arbes, Hugo Demais, Stéphane Baudin-Baillieu, Agnès Namy, Olivier RiboDoc: A Docker-based package for ribosome profiling analysis |
title | RiboDoc: A Docker-based package for ribosome profiling analysis |
title_full | RiboDoc: A Docker-based package for ribosome profiling analysis |
title_fullStr | RiboDoc: A Docker-based package for ribosome profiling analysis |
title_full_unstemmed | RiboDoc: A Docker-based package for ribosome profiling analysis |
title_short | RiboDoc: A Docker-based package for ribosome profiling analysis |
title_sort | ribodoc: a docker-based package for ribosome profiling analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141510/ https://www.ncbi.nlm.nih.gov/pubmed/34093996 http://dx.doi.org/10.1016/j.csbj.2021.05.014 |
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