A Reproducible and Dynamic Workflow for Analysis and Annotation of scRNA-Seq Data

Nader Aryamanesh

doi:10.1007/978-1-0716-2281-0_10

A Reproducible and Dynamic Workflow for Analysis and Annotation of scRNA-Seq Data

Methods Mol Biol. 2022:2490:101-140. doi: 10.1007/978-1-0716-2281-0_10.

Author

Nader Aryamanesh¹

Affiliation

¹ Embryology Research Unit, Bioinformatics Group, Children's Medical Research Institute, University of Sydney, Westmead, NSW, Australia. naryamanesh@cmri.org.au.

PMID: 35486243
DOI: 10.1007/978-1-0716-2281-0_10

Abstract

Single-cell RNA-sequencing (scRNA-Seq) is a widely used technology to reveal the heterogeneity and dynamics of tissues, organisms, and complex diseases. Here, a workflow is presented for preprocessing of scRNA-seq data to quantify gene abundances in individual cells followed by visualization and annotation of cells.

Keywords: Bioinformatics; Gastrulation; Mouse embryogenesis; Workflow; scRNA-Seq.

MeSH terms

Exome Sequencing
Sequence Analysis, RNA
Single-Cell Analysis*
Workflow