Single-Cell RNA-seq: Introduction to Bioinformatics Analysis

Curr Protoc Mol Biol. 2019 Jun;127(1):e92. doi: 10.1002/cpmb.92.

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.

Keywords: bioinformatics; single-cell RNA-seq.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Computational Biology
  • Data Analysis*
  • Sequence Analysis, RNA / methods*
  • Single-Cell Analysis / methods*
  • Software