The rapid progress of protocols for sequencing single-cell transcriptomes over the past
decade has been accompanied by equally impressive advances in the computational …

Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology that allows
you to profile the whole transcriptome of a large number of individual cells. However, the …

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) has emerged as a revolutionary tool that allows
us to address scientific questions that eluded examination just a few years ago. With the …

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 …

The recent rapid spread of single cell RNA sequencing (scRNA-seq) methods has created a
large variety of experimental and computational pipelines for which best practices have not …

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 …

Single-cell RNA sequencing (scRNA-seq) has enabled us to study biological questions at
the single-cell level. Currently, many analysis tools are available to better utilize these …

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 …

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 …