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

Quantitative analysis of gene expression is crucial for understanding the molecular
mechanisms underlying genome regulation. RNA‐seq is a powerful platform for …

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

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 …

Abstract RNA-sequencing (RNA-seq) is an essential technique for transcriptome studies,
hundreds of analysis tools have been developed since it was debuted. Although recent …

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 …

RNA-seq is a methodology for RNA profiling based on next-generation sequencing that
enables to measure and compare gene expression patterns at unprecedented resolution …

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 …

Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow
using Bioconductor packages. We will start from the FASTQ files, show how these were …