Fei Ji, Ruslan I. Sadreyev
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引用次数: 8
Abstract
Quantitative analysis of single-cell RNA sequencing (RNA-seq) is crucial for discovering the heterogeneity of cell populations and understanding the molecular mechanisms in different cells. In this unit we present a bioinformatics workflow for analyzing single-cell RNA-seq data with a few current publicly available computational tools. This workflow is focused on the interpretation of the heterogeneity from single-cell transcriptomes as well as the identification of cell clusters and genes that are differentially expressed between clusters. © 2019 by John Wiley & Sons, Inc.
单细胞RNA-seq:生物信息学分析导论
单细胞RNA测序(RNA-seq)的定量分析对于发现细胞群体的异质性和了解不同细胞的分子机制至关重要。在本单元中,我们提出了一个生物信息学工作流程,用于分析单细胞RNA-seq数据,使用一些当前公开可用的计算工具。该工作流程的重点是解释单细胞转录组的异质性,以及鉴定细胞簇和簇之间差异表达的基因。©2019 by John Wiley &儿子,Inc。
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