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Analysis workflow of publicly available RNA-sequencing datasets
Differential gene expression analysis is widely used to study changes in gene expression profiles between two or more groups of samples (e.g., physiological versus pathological conditions, pre-treatment versus post-treatment, and infected versus non-infected tissues). This protocol aims to identify...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061314/ https://www.ncbi.nlm.nih.gov/pubmed/33907739 http://dx.doi.org/10.1016/j.xpro.2021.100478 |
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author | Sanchis, Pablo Lavignolle, Rosario Abbate, Mercedes Lage-Vickers, Sofía Vazquez, Elba Cotignola, Javier Bizzotto, Juan Gueron, Geraldine |
author_facet | Sanchis, Pablo Lavignolle, Rosario Abbate, Mercedes Lage-Vickers, Sofía Vazquez, Elba Cotignola, Javier Bizzotto, Juan Gueron, Geraldine |
author_sort | Sanchis, Pablo |
collection | PubMed |
description | Differential gene expression analysis is widely used to study changes in gene expression profiles between two or more groups of samples (e.g., physiological versus pathological conditions, pre-treatment versus post-treatment, and infected versus non-infected tissues). This protocol aims to identify gene expression changes in a pre-selected set of genes associated with severe acute respiratory syndrome coronavirus 2 viral infection and host cell antiviral response, as well as subsequent gene expression association with phenotypic features using samples deposited in public repositories. For complete details on the use and outcome of this informatics analysis, please refer to Bizzotto et al. (2020). |
format | Online Article Text |
id | pubmed-8061314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80613142021-04-23 Analysis workflow of publicly available RNA-sequencing datasets Sanchis, Pablo Lavignolle, Rosario Abbate, Mercedes Lage-Vickers, Sofía Vazquez, Elba Cotignola, Javier Bizzotto, Juan Gueron, Geraldine STAR Protoc Protocol Differential gene expression analysis is widely used to study changes in gene expression profiles between two or more groups of samples (e.g., physiological versus pathological conditions, pre-treatment versus post-treatment, and infected versus non-infected tissues). This protocol aims to identify gene expression changes in a pre-selected set of genes associated with severe acute respiratory syndrome coronavirus 2 viral infection and host cell antiviral response, as well as subsequent gene expression association with phenotypic features using samples deposited in public repositories. For complete details on the use and outcome of this informatics analysis, please refer to Bizzotto et al. (2020). Elsevier 2021-04-22 /pmc/articles/PMC8061314/ /pubmed/33907739 http://dx.doi.org/10.1016/j.xpro.2021.100478 Text en © 2021 The Author(s) 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 | Protocol Sanchis, Pablo Lavignolle, Rosario Abbate, Mercedes Lage-Vickers, Sofía Vazquez, Elba Cotignola, Javier Bizzotto, Juan Gueron, Geraldine Analysis workflow of publicly available RNA-sequencing datasets |
title | Analysis workflow of publicly available RNA-sequencing datasets |
title_full | Analysis workflow of publicly available RNA-sequencing datasets |
title_fullStr | Analysis workflow of publicly available RNA-sequencing datasets |
title_full_unstemmed | Analysis workflow of publicly available RNA-sequencing datasets |
title_short | Analysis workflow of publicly available RNA-sequencing datasets |
title_sort | analysis workflow of publicly available rna-sequencing datasets |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061314/ https://www.ncbi.nlm.nih.gov/pubmed/33907739 http://dx.doi.org/10.1016/j.xpro.2021.100478 |
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