Analysis of Single-Cell RNA-seq Data
- PMID: 36929075
- DOI: 10.1007/978-1-0716-2986-4_6
Analysis of Single-Cell RNA-seq Data
Abstract
As single-cell RNA sequencing experiments continue to advance scientific discoveries across biological disciplines, an increasing number of analysis tools and workflows for analyzing the data have been developed. In this chapter, we describe a standard workflow and elaborate on relevant data analysis tools for analyzing single-cell RNA sequencing data. We provide recommendations for the appropriate use of commonly used methods, with code examples and analysis interpretations.
Keywords: Gene expression; High-throughput sequencing; Normalization; Quality control; Single-cell RNA-seq.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
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