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 …

To the Editor—As single-cell RNA sequencing (scRNA-seq) becomes widespread,
accessible and scalable computational pipelines for data analysis are needed. We introduce …

As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the
number of tools designed to analyse these data has dramatically increased. Navigating the …

RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative
analysis of messenger RNA molecules in a biological sample and is useful for studying …

Thanks to innovative sample-preparation and sequencing technologies, gene expression in
individual cells can now be measured for thousands of cells in a single experiment. Since its …

Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …

Heterogeneity in cell populations poses a significant challenge for understanding complex
cell biological processes. The analysis of cells at the single-cell level, especially single-cell …

Single-cell RNA-seq (scRNA-seq) assays are being increasingly utilized to investigate
specific hypotheses in both basic biology and clinically-applied studies. The design of most …

Background Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform
to study heterogeneity at the single-cell level. Computational methods to process scRNA …

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular biology at an unprecedented resolution, enabling the characterization of cellular …