Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene
expression at the resolution of individual cells. While there have been methods and software …

Single-cell RNA sequencing (scRNA-seq) provides an unprecedented view of cellular
diversity of biological systems. However, across the thousands of publications and datasets …

Single-cell RNA sequencing has become a standard technique to characterize tissue
development. Hereby, cross-sectional snapshots of the diversity of cell transcriptomes were …

Understanding biological systems at a single cell resolution may reveal several novel
insights which remain masked by the conventional population-based techniques providing …

Background Differentiation of metazoan cells requires execution of different gene
expression programs but recent single-cell transcriptome profiling has revealed …

Genomic sequencing has provided insight into the genetic characterization of many
organisms, and we are now seeing sequencing technologies turned towards phenotypic …

Methods for cell clustering and gene expression from single-cell RNA sequencing (scRNA-
seq) data are essential for biological interpretation of cell processes. Here, we present …

Cells are the basic building blocks of biological systems, with inherent unique molecular
features and development trajectories. The study of single cells facilitates in‐depth …

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 …

Transcriptome S hotgun S equencing (RNA‐seq) has been readily embraced by geneticists
and molecular ecologists alike. As with all high‐throughput technologies, it is critical to …