Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications.

ABSTRACT: The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has advanced our understanding of the pathogenesis of disease and provided valuable insights into new diagnostic and therapeutic strategies. With the expansion of capacity for high-throughput scRNA-seq, including clinical samples, the analysis of these huge volumes of data has become a daunting prospect for researchers entering this field. Here, we review the workflow for typical scRNA-seq data analysis, covering raw data processing and quality control, basic data analysis applicable for almost all scRNA-seq data sets, and advanced data analysis that should be tailored to specific scientific questions. While summarizing the current methods for each analysis step, we also provide an online repository of softwar

SUBMITTER: Su M 

PROVIDER: S-EPMC9716519 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature