Background Recent developments in single-cell RNA sequencing (scRNA-seq) platforms
have vastly increased the number of cells typically assayed in an experiment. Analysis of …

Background Single-cell RNA sequencing (scRNA-seq) provides high-resolution
transcriptome data to understand the heterogeneity of cell populations at the single-cell …

Motivation Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene
expression at the level of individual cells. However, preparing raw sequence data for further …

Background Single-cell RNA sequencing (scRNA-seq) enables the high-throughput
quantification of transcriptional profiles in single cells. In contrast to bulk RNA-seq, additional …

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

Motivation Single-cell RNA sequencing (scRNA-seq) technology has revolutionized the way
research is done in biomedical sciences. It provides an unprecedented level of resolution …

Background The technology of single cell RNA sequencing (scRNA-seq) has gained
massively in popularity as it allows unprecedented insights into cellular heterogeneity as …

Single-cell RNA sequencing (scRNA-seq) is a revolutionary tool to explore cells. With an
increasing number of scRNA-seq data analysis tools that have been developed, it is …

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 …

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 …