Author: Sanchis, Pablo; Lavignolle, Rosario; Abbate, Mercedes; Lage-Vickers, SofÃa; Vazquez, Elba; Cotignola, Javier; Bizzotto, Juan; Gueron, Geraldine
Title: Analysis workflow of publicly available RNA-sequencing datasets Cord-id: 35vc7s0x Document date: 2021_6_18
ID: 35vc7s0x
Snippet: 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 expr
Document: 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).
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