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 …

RNA abundance is a powerful indicator of the state of individual cells. Single-cell RNA
sequencing can reveal RNA abundance with high quantitative accuracy, sensitivity and …

INTRODUCTION A reference atlas of human cell types is a major goal for the field. Here, we
set out to generate single-cell atlases of both gene expression (this study) and chromatin …

Single-cell analysis is a valuable tool for dissecting cellular heterogeneity in complex
systems. However, a comprehensive single-cell atlas has not been achieved for humans …

Single‐cell technologies are revolutionizing biology but are today mainly limited to imaging
and deep sequencing. However, proteins are the main drivers of cellular function and in …

Single-cell RNA-seq quantifies biological heterogeneity across both discrete cell types and
continuous cell transitions. Partition-based graph abstraction (PAGA) provides an …

Single-cell RNA sequencing (scRNA-seq) is a powerful approach for reconstructing cellular
differentiation trajectories. However, inferring both the state and direction of differentiation is …

We applied a combinatorial indexing assay, sci-ATAC-seq, to profile genome-wide
chromatin accessibility in∼ 100,000 single cells from 13 adult mouse tissues. We identify 85 …

Annotating cell types on the basis of single-cell RNA-seq data is a prerequisite for research
on disease progress and tumour microenvironments. Here we show that existing annotation …