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 …

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 …

Characterizing the transcriptome of individual cells is fundamental to understanding
complex biological systems. We describe a droplet-based system that enables 3′ mRNA …

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 …

Rapid progress in the development of next-generation sequencing (NGS) technologies in
recent years has provided many valuable insights into complex biological systems, ranging …

Large-scale single-cell RNA sequencing (scRNA-seq) data sets that are produced in
different laboratories and at different times contain batch effects that may compromise the …

Cells, the basic units of biological structure and function, vary broadly in type and state.
Single-cell genomics can characterize cell identity and function, but limitations of ease and …

Spatial localization is a key determinant of cellular fate and behavior, but methods for
spatially resolved, transcriptome-wide gene expression profiling across complex tissues are …

Abstract RNA-sequencing (RNA-seq) has a wide variety of applications, but no single
analysis pipeline can be used in all cases. We review all of the major steps in RNA-seq data …

It has long been the dream of biologists to map gene expression at the single-cell level. With
such data one might track heterogeneous cell sub-populations, and infer regulatory …