Quality Control of Single-Cell RNA-seq

  • Peng JiangEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 1935)


Single-cell RNA-seq (scRNA-seq) is emerging as a promising technology to characterize and dissect the cell-to-cell variability. However, the mixture of technical noise and intrinsic biological variability makes separating technical artifacts from real biological variation cells particularly challenging. Proper detection and filtering out technical artifacts before downstream analysis are critical. Here, we present a protocol that integrates both gene expression patterns and data quality to detect technical artifacts in scRNA-seq samples.

Key words

scRNA-seq Quality control Integrate Gene expression patterns Data quality 


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Regenerative Biology LaboratoryMorgridge Institute for ResearchMadisonUSA

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