一种用于单细胞RNA测序（scRNA-Seq）数据分析与注释的可重复动态工作流程。

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

作者信息

Aryamanesh Nader

机构信息

Embryology Research Unit, Bioinformatics Group, Children's Medical Research Institute, University of Sydney, Westmead, NSW, Australia.

出版信息

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

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

PMID:35486243

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.

摘要

单细胞RNA测序（scRNA-Seq）是一种广泛应用的技术，用于揭示组织、生物体和复杂疾病的异质性及动态变化。本文介绍了一种scRNA-Seq数据预处理流程，用于量化单个细胞中的基因丰度，随后对细胞进行可视化和注释。