A practical handbook on single-cell RNA sequencing data quality control and downstream analysis
Gyeong Dae Kim, Chaemin Lim, Jihwan Park
Abstract
Advancements in single-cell analysis have facilitated high-resolution observation of the transcriptome in individual cells. However, standards for obtaining high-quality cells and data analysis pipelines remain variable. Here, we provide the groundwork for improving the quality of single-cell analysis by delineating guidelines for selecting high-quality cells and considerations throughout the analysis. This review will streamline researchers' access to single-cell analysis and serve as a valuable guide for analysis.
Topics & Concepts
Downstream (manufacturing)Single-cell analysisComputer scienceQuality (philosophy)Computational biologyTranscriptomeCellData scienceBiologyEngineeringGeneGeneticsGene expressionOperations managementEpistemologyPhilosophySingle-cell and spatial transcriptomicsImmune cells in cancerExtracellular vesicles in disease