High‐throughput RNA sequencing has proven invaluable not only to explore gene
expression but also for both gene prediction and genome annotation. However, RNA …

Next‐generation sequencing (NGS) technologies have revolutionized the study of genomics
with an ever‐expanding list of applications. RNA‐Seq has emerged as a powerful method …

The development of next-generation sequencing technology has led to a burst of data in a
single assay. Management of a large dataset requires high demands on bioinformatic skills …

The availability of RNA-Seq method allows researchers to capture the spatial or temporal
profile of transcriptomes from various types of biological samples. The transcriptome data …

Transcriptome deep sequencing (RNA‐seq) has become a routine method for global gene
expression profiling. However, its application to large‐scale experiments remains limited by …

The recent advances in high throughput RNA sequencing (RNA-Seq) have generated huge
amounts of data in a very short span of time for a single sample. These data have required …

Sequencing of mRNA using next-generation sequencing (NGS) technologies (RNA-seq)
has the potential to reveal unprecedented complexity of the transcriptomes. The …

The field of genomics has grown rapidly with the advent of massively parallel sequencing
technologies, allowing for novel biological insights with regards to genomic, transcriptomic …

Recent progress in sequencing technologies facilitates plant science experiments through
the availability of genome and transcriptome sequences. Genome assemblies provide …

Improvements in next‐generation sequencing technologies have resulted in dramatically
reduced sequencing costs. This has led to an explosion of '‐seq'‐based methods, of which …