Ultra-high-throughput sequencing is emerging as an attractive alternative to microarrays for
genotyping, analysis of methylation patterns, and identification of transcription factor binding …

The transcriptome is the complete set of transcripts for certain type of cells or tissues in a
specific developmental stage or physiological condition. Transcriptome analysis can provide …

Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide
researchers with unprecedentedly large data sets and open new perspectives in …

Motivation: RNA-seq is replacing microarrays as the primary tool for gene expression
studies. Many RNA-seq studies have used insufficient biological replicates, resulting in low …

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 …

Next-generation sequencing (NGS) technologies are revolutionizing genome research, and
in particular, their application to transcriptomics (RNA-seq) is increasingly being used for …

RNA-seq is an effective method for studying the transcriptome, but it can be difficult to apply
to scarce or degraded RNA from fixed clinical samples, rare cell populations or cadavers …

Background RNA-Seq has supplanted microarrays as the preferred method of transcriptome-
wide identification of differentially expressed genes. However, RNA-Seq analysis is still …

Transcriptional profiling using RNA sequencing (RNAseq) has emerged as a powerful
methodology to quantify global gene expression patterns in various contexts from single …

Background High throughput DNA sequencing technology has enabled quantification of all
the RNAs in a cell or tissue, a method widely known as RNA sequencing (RNA-Seq) …