Motivation Single-cell RNA-sequencing (scRNA-seq) allows whole transcriptome profiling of
thousands of individual cells, enabling the molecular exploration of tissues at the cellular …

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 …

Despite the growing availability of sophisticated bioinformatic methods for the analysis of
single-cell RNA-seq data, few tools exist that allow biologists without extensive bioinformatic …

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

Single-cell RNA sequencing (scRNA-seq) is a technology to measure gene expression in
single cells. It has enabled discovery of new cell types and established cell type atlases of …

Single-cell RNA sequencing (scRNA-Seq) enables researchers to quantify the
transcriptomes of individual cells. The capacity of researchers to perform this type of analysis …

Single-cell RNA sequencing (scRNA-Seq) is rapidly becoming a powerful tool for high-
throughput transcriptomic analysis of cell states and dynamics at the single cell level. Both …

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 …

Single-cell RNA sequencing (scRNA-seq) is currently transforming our understanding of
biology, as it is a powerful tool to resolve cellular heterogeneity and molecular networks …

Background Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of
transcriptomes, arising as a powerful tool for discovering and characterizing cell types and …