Whole transcriptome analysis plays an essential role in deciphering genome structure and
function, identifying genetic networks underlying cellular, physiological, biochemical and …

RNA sequencing using next-generation sequencing technologies (NGS) is currently the
standard approach for gene expression profiling, particularly for large-scale high-throughput …

Advances in transcriptomics have provided an exceptional opportunity to study functional
implications of the genetic variability. Technologies such as RNA-Seq have emerged as …

Background RNA-seq enables gene expression profiling in selected spatiotemporal
windows and yields massive sequence information with relatively low cost and time …

The development of DNA sequencing more than 30 years ago has profoundly impacted
biological research. In the last couple of years, remarkable technological innovations have …

Advances in genome sequencing have progressed at a rapid pace, with increased
throughput accompanied by plunging costs. But these advances go far beyond faster and …

Abstract The Long-read RNA-Seq Genome Annotation Assessment Project Consortium was
formed to evaluate the effectiveness of long-read approaches for transcriptome analysis …

Genome‐wide analyses and high‐throughput screening was long reserved for biomedical
applications and genetic model organisms. With the rapid development of massively parallel …

Up to date research in biology, biotechnology, and medicine requires fast genome and
transcriptome analysis technologies for the investigation of cellular state, physiology, and …

High-throughput sequencing has revolutionized biology by enhancing our ability to perform
genome-wide studies. However, due to lack of bioinformatics expertise, modern …