Article ; Online: Computational workflow for investigating highly variable genes in single-cell RNA-seq across multiple time points and cell types
STAR Protocols, Vol 4, Iss 3, Pp 102387- (2023)
2023
Abstract: Summary: Here, we present a computational approach for investigating highly variable genes (HVGs) associated with biological pathways of interest, across multiple time points and cell types in single-cell RNA-sequencing (scRNA-seq) data. Using public ... ...
Abstract | Summary: Here, we present a computational approach for investigating highly variable genes (HVGs) associated with biological pathways of interest, across multiple time points and cell types in single-cell RNA-sequencing (scRNA-seq) data. Using public dengue virus and COVID-19 datasets, we describe steps for using the framework to characterize the dynamic expression levels of HVGs related to common and cell-type-specific biological pathways over multiple immune cell types.For complete details on the use and execution of this protocol, please refer to Arora et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. |
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Keywords | Bioinformatics ; Single Cell ; RNAseq ; Immunology ; Gene Expression ; Systems Biology ; Science (General) ; Q1-390 |
Language | English |
Publishing date | 2023-09-01T00:00:00Z |
Publisher | Elsevier |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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