Computational workflow for investigating highly variable genes in single-cell RNA-seq across multiple time points and cell types

Computational workflow for investigating highly variable genes in single-cell RNA-seq across multiple time points and cell types

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 s...

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Bibliographic Details
Main Authors: Jantarika Kumar Arora, Anunya Opasawatchai, Sarah A. Teichmann, Ponpan Matangkasombut, Varodom Charoensawan
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:STAR Protocols
Subjects:
Bioinformatics
Single Cell
RNAseq
Immunology
Gene Expression
Systems Biology
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166723003544

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http://www.sciencedirect.com/science/article/pii/S2666166723003544

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