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 …

Abstract Sequencing of RNA (RNA-Seq) was invented approximately 1 decade ago and has
since revolutionized biological research. This update provides a brief historic perspective on …

Next-generation RNA-sequencing (RNA-Seq) is rapidly outcompeting microarrays as the
technology of choice for whole-transcriptome studies. However, the bioinformatics skills …

Next generation DNA sequencing technologies are driving increasingly rapid, affordable
and high resolution analyses of plant transcriptomes through sequencing of their associated …

Background The genome-wide expression profile of genes in different tissues/cell types and
developmental stages is a vital component of many functional genomic studies …

The majority of transcriptome sequencing (RNA-seq) expression studies in plants remain
underutilized and inaccessible due to the use of disparate transcriptome references and the …

Sequencing costs are falling, but the cost of data analysis remains high, often because
unforeseen problems arise, such as insufficient depth of sequencing or batch effects …

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 …

Motivation: RNA-seq techniques generate massive amounts of expression data. Several
pipelines (eg Tophat and Cufflinks) are broadly applied to analyse these datasets. However …

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