Analysis workflow of publicly available RNA-sequencing datasets

Summary: 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...

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Bibliographic Details
Main Authors: Pablo Sanchis, Rosario Lavignolle, Mercedes Abbate, Sofía Lage-Vickers, Elba Vazquez, Javier Cotignola, Juan Bizzotto, Geraldine Gueron
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:STAR Protocols
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666166721001854
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Summary:Summary: 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).
ISSN:2666-1667