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

During the last decade, high‐throughput sequencing methods have revolutionized the entire
field of biology. The opportunity to study entire transcriptomes in great detail using RNA …

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 …

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 …

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 …

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 rapidly becoming a powerful tool for high-
throughput transcriptomic analysis of cell states and dynamics at the single cell level. Both …

Recent years have seen a revolution in single-cell RNA-sequencing (scRNA-seq)
technologies, datasets, and analysis methods. Since 2016, the scRNA-tools database has …

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 …

Single-cell RNA sequencing (scRNA-seq) has enabled researchers to study gene
expression at the cellular level. However, due to the extremely low levels of transcripts in a …