RNA sequencing (RNA-Seq) uses the capabilities of high-throughput sequencing methods
to provide insight into the transcriptome of a cell. Compared to previous Sanger sequencing …

Deep sequencing has been revolutionizing biology and medicine in recent years, providing
single base‐level precision for our understanding of nucleic acid sequences in high …

Abstract RNA-sequencing (RNA-seq) has a wide variety of applications, but no single
analysis pipeline can be used in all cases. We review all of the major steps in RNA-seq data …

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 …

In the few years since its initial application, massively parallel cDNA sequencing, or RNA-
seq, has allowed many advances in the characterization and quantification of …

Next-generation sequencing technologies have revolutionarily advanced sequence-based
research with the advantages of high-throughput, high-sensitivity, and high-speed. RNA-seq …

Gene expression is the fundamental level at which the results of various genetic and
regulatory programs are observable. The measurement of transcriptome-wide gene …

The transcriptome encompasses a range of species including messenger RNA, and other
noncoding RNA such as rRNA, tRNA, and short and long noncoding RNAs. Due to the huge …

Ribonucleic acid sequencing (RNA-seq) identifies and quantifies RNA molecules from a
biological sample. Transformation from raw sequencing data to meaningful gene or isoform …

RNA‐seq is widely used to determine differential expression of genes or transcripts as well
as identify novel transcripts, identify allele‐specific expression, and precisely measure …