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

Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology that allows
you to profile the whole transcriptome of a large number of individual cells. However, the …

In the past decade, single-cell technologies have proliferated and improved from their
technically challenging beginnings to become common laboratory methods capable of …

Researchers view vast zeros in single-cell RNA-seq data differently: some regard zeros as
biological signals representing no or low gene expression, while others regard zeros as …

Background The rapid development of single-cell RNA-sequencing (scRNA-seq)
technologies has led to the emergence of many methods for removing systematic technical …

To the Editor—Potential users of single-cell RNA-sequencing (scRNA-seq) 1 often
encounter a choice between highthroughput droplet-based methods and high-sensitivity …

The high proportion of zeros in typical single-cell RNA sequencing datasets has led to
widespread but inconsistent use of terminology such as dropout and missing data. Here, we …

Recent experimental developments in genome-wide RNA quantification hold considerable
promise for systems biology. However, rigorously probing the biology of living cells requires …

Single-cell transcriptomics (SCT) is a tour de force in the era of big omics data that has led to
the accumulation of massive cellular transcription data at an astounding resolution of single …

Motivation Gene expression is characterized by stochastic bursts of transcription that occur
at brief and random periods of promoter activity. The kinetics of gene expression burstiness …