RNA sequencing (RNAseq) can reveal gene fusions, splicing variants, mutations/indels in
addition to differential gene expression, thus providing a more complete genetic picture than …

RNA sequencing (RNAseq) is one of the most commonly used techniques in life sciences,
and has been widely used in cancer research, drug development, and cancer diagnosis and …

Over the past few decades, RNA sequencing has significantly progressed, becoming a
paramount approach for transcriptome profiling. The revolution from bulk RNA sequencing …

Single-cell RNA sequencing (scRNA-seq) is a tool for studying gene expression at the
single-cell level that has been widely used due to its unprecedented high resolution. In the …

Single cell sequencing (SCS) can be harnessed to acquire the genomes, transcriptomes
and epigenomes from individual cells. Next generation sequencing (NGS) technology is the …

Cancers are a group of heterogeneous diseases characterized by the acquisition of
functional capabilities during the transition from a normal to a neoplastic state. Powerful …

Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of
complex tissues at single-cell levels, can identify differential gene expression and epigenetic …

As an emerging sequencing technology, single-cell RNA sequencing (scRNA-Seq) has
become a powerful tool for describing cell subpopulation classification and cell …

Unlike population-level approaches, single-cell RNA sequencing enables transcriptomic
analysis of an individual cell. Through the combination of high-throughput sequencing and …

Background Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform
to study heterogeneity at the single-cell level. Computational methods to process scRNA …