Recent technical improvements in single-cell RNA sequencing (scRNA-seq) have enabled
massively parallel profiling of transcriptomes, thereby promoting large-scale studies …

Single-cell RNA sequencing (scRNA-seq) is the leading technique for characterizing the
transcriptomes of individual cells in a sample. The latest protocols are scalable to thousands …

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 …

Recent years have seen a revolution in single-cell RNA-sequencing (scRNA-seq)
technologies, datasets, and analysis methods. Since 2016, the scRNA-tools database has …

Single-cell RNA-sequencing (scRNA-seq) is being used extensively to measure the mRNA
expression of individual cells from deconstructed tissues, organs and even entire organisms …

Single-cell RNA sequencing (scRNA-seq) has emerged as a central genome-wide method
to characterize cellular identities and processes. Consequently, improving its sensitivity …

During the last decade, high‐throughput sequencing methods have revolutionized the entire
field of biology. The opportunity to study entire transcriptomes in great detail using RNA …

Single-cell RNA sequencing (scRNA-seq) methods generate sparse gene expression
profiles for thousands of single cells in a single experiment. The information in these profiles …

Motivation In recent years, improvements in throughput of single cell RNA-seq have resulted
in a significant increase in the number of cells profiled. The generation of single cell RNA …

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 …