Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

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 …

The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …

There is pressing urgency to understand the pathogenesis of the severe acute respiratory
syndrome coronavirus clade 2 (SARS-CoV-2), which causes the disease COVID-19. SARS …

The recent advent of methods for high-throughput single-cell molecular profiling has
catalyzed a growing sense in the scientific community that the time is ripe to complete the …

Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes
methods for preprocessing, visualization, clustering, pseudotime and trajectory inference …

Single-cell technologies have transformed our understanding of human tissues. Yet, studies
typically capture only a limited number of donors and disagree on cell type definitions …

RNA velocity has opened up new ways of studying cellular differentiation in single-cell RNA-
sequencing data. It describes the rate of gene expression change for an individual gene at a …

Genome-wide association scans with high-throughput metabolic profiling provide
unprecedented insights into how genetic variation influences metabolism and complex …

Recent technical developments have enabled the transcriptomes of hundreds of cells to be
assayed in an unbiased manner, opening up the possibility that new subpopulations of cells …