Long-read technologies are overcoming early limitations in accuracy and throughput,
broadening their application domains in genomics. Dedicated analysis tools that take into …

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 …

Single-nuclei RNA sequencing characterizes cell types at the gene level. However,
compared to single-cell approaches, many single-nuclei cDNAs are purely intronic, lack …

High-throughput amplicon sequencing of large genomic regions remains challenging for
short-read technologies. Here, we report a high-throughput amplicon sequencing approach …

Full-length RNA sequencing (RNA-Seq) has been applied to bulk tissue, cell lines and
sorted cells to characterize transcriptomes,,,,,,,,,,, but applying this technology to single cells …

Understanding gene regulation and function requires a genome-wide method capable of
capturing both gene expression levels and isoform diversity at the single-cell level. Short …

Single-cell RNA sequencing is at the forefront of high-resolution phenoty** experiments
for complex samples. Although this methodology requires specialized equipment and …

Genes encoding cell-surface proteins control nervous system development and are
implicated in neurological disorders. These genes produce alternative mRNA isoforms …

The combination of pervasive transcription and prolific alternative splicing produces a
mammalian transcriptome of great breadth and diversity. The majority of transcribed …

Long-read sequencing has become a widely employed technology that enables a
comprehensive view of RNA transcripts. Here, we discuss the importance of long-read …