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 …

Background As genomes of many eukaryotic species, especially plants, are large and
complex, their de novo sequencing and assembly is still a difficult task despite progress in …

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

Transcriptomic sequence resources represent invaluable assets for research, in particular
for non-model species without a sequenced genome. To date, the Next Generation …

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

Transcriptome assembly using next-generation sequencing data is an important step in a
wide range of biological studies at the molecular level. The quality of computationally …

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 …

Plant natural product research can be facilitated through genome and transcriptome
sequencing approaches that generate informative sequence and expression datasets that …

RNA sequencing (RNA-seq) has opened up the possibility of studying virtually any organism
at the whole transcriptome level. Nevertheless, the absence of a sequenced and accurately …

The application of next‐generation sequencing (NGS) to transcriptomics, commonly called
RNA‐seq, allows the nearly complete characterization of transcriptomic events occurring in …