Next-generation sequencing technologies are now being exploited not only to analyse static
genomes, but also dynamic transcriptomes in an approach termed RNA-seq. Although these …

Dear Editor, The advancement of single-cell RNA-seq technologies based on third-
generation sequencing (TGS) platforms has accelerated biological researches. Several TGS …

RNA-seq is an effective method for studying the transcriptome, but it can be difficult to apply
to scarce or degraded RNA from fixed clinical samples, rare cell populations or cadavers …

Advances in genomic technology have enabled the faithful detection and measurement of
mutations and the gene expression profile of cancer cells at the single-cell level. Recently …

Single-nucleus RNA sequencing (sNuc-seq) profiles RNA from tissues that are preserved or
cannot be dissociated, but it does not provide high throughput. Here, we develop DroNc …

Current approaches to single-cell transcriptomic analysis are computationally intensive and
require assay-specific modeling, which limits their scope and generality. We propose a …

Many methods have been used to determine differential gene expression from single-cell
RNA (scRNA)-seq data. We evaluated 36 approaches using experimental and synthetic …

RNA-seq protocols that focus on transcript termini are well suited for applications in which
template quantity is limiting. Here we show that, when applied to end-sequencing data …

Single-cell RNASeq (scRNASeq) has emerged as a powerful method for quantifying the
transcriptome of individual cells. However, the data from scRNASeq experiments is often …

Cells secrete numerous bioactive molecules that are essential for the function of healthy
organisms. However, scalable methods are needed to link individual cell secretions to their …