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

Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for
transcriptome-wide analysis of differential gene expression and differential splicing of …

The role of non-neuronal cells in Alzheimer's disease progression has not been fully
elucidated. Using single-nucleus RNA sequencing, we identified a population of disease …

The high-dimensional data created by high-throughput technologies require visualization
tools that reveal data structure and patterns in an intuitive form. We present PHATE, a …

Hematopoietic stem cells (HSCs) mediate regeneration of the hematopoietic system
following injury, such as following infection or inflammation. These challenges impair HSC …

Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art
approach for unravelling the heterogeneity and complexity of RNA transcripts within …

Single‐cell RNA‐seq has enabled gene expression to be studied at an unprecedented
resolution. The promise of this technology is attracting a growing user base for single‐cell …

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) allows researchers to collect large catalogues
detailing the transcriptomes of individual cells. Unsupervised clustering is of central …

Analyzing proteins from single cells by tandem mass spectrometry (MS) has recently
become technically feasible. While such analysis has the potential to accurately quantify …