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.
Keywords: bioinformatics; single-cell RNA-seq.
© 2019 John Wiley & Sons, Inc.