Long-read single-cell RNA sequencing (scRNA-seq) enables the quantification of RNA
isoforms in individual cells. However, long-read scRNA-seq using the Oxford Nanopore …

Single-cell RNA sequencing allows for characterizing the gene expression landscape at the
cell type level. However, because of its use of short-reads, it is severely limited at detecting …

The current ecosystem of single-cell RNA-seq platforms is rapidly expanding, but robust
solutions for single-cell and single-molecule full-length RNA sequencing are virtually …

Motivation In single-cell RNA-sequencing (scRNA-seq) data, stratification of sequencing
reads by cellular barcode is necessary to study cell-specific features. However, apart from …

Background Single-cell RNA sequencing (scRNA-seq) provides high-resolution
transcriptome data to understand the heterogeneity of cell populations at the single-cell …

Background Single-cell RNA sequencing (scRNA-seq) enables the high-throughput
quantification of transcriptional profiles in single cells. In contrast to bulk RNA-seq, additional …

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

We present STARsolo, a comprehensive turnkey solution for quantifying gene expression in
single-cell/nucleus RNA-seq data, built into RNA-seq aligner STAR. Using simulated data …

Advances in single-cell RNA sequencing (scRNA-seq) have furthered the simultaneous
classification of thousands of cells in a single assay based on transcriptome profiling. In …

Single-cell RNA-seq (scRNA-seq) is increasingly used in a range of biomedical studies.
Nonetheless, current RNA-seq analysis tools are not specifically designed to efficiently …