Sentence examples for massively parallel transcriptome from inspiring English sources

The extent of reprogramming of the adopted genome in fusion experiments has been a long standing question that can now be answered using massively parallel transcriptome sequencing combined with genome-wide single nucleotide polymorphism (SNP) analysis.

On the other hand, it is becoming increasingly apparent that massively parallel transcriptome sequencing has distinct advantages over arrays.

With the development of next-generation sequencing, a massively parallel transcriptome sequencing technology called RNA-Seq has been developed and widely applied in transcriptome profiling.

Our results demonstrate the efficiency of massively parallel transcriptome sequencing in a comparative framework as an approach for developing genomic resources in diverse groups of non-model organisms.

Studies in Arabidopsis thaliana, a model species of the Brassicaceae family, have demonstrated the power of massively parallel transcriptome sequencing in providing high-quality representation of transcripts needed for gene discovery [ 17].

In contrast to microarrays which are traditionally restricted to models organism with rich genomic resources, massively parallel transcriptome sequencing yields sequence information and concomitantly provides a digital measure of gene expression for basically any species [ 24].

Massively parallel whole transcriptome sequencing, commonly referred as RNA-Seq, is quickly becoming the technology of choice for gene expression profiling.

Massively parallel whole transcriptome sequencing, commonly referred to as RNA-Seq, is quickly replacing microarrays as the technology of choice for performing GE due to their wider dynamic range and digital quantitation capabilities [ 8].

However, many recent reports have been published on massively parallel approaches to transcriptome sequencing [ 11- 13], largely using model organisms with available draft genomes to assist assembly [ 14, 15].

Massively parallel sequencing for transcriptome profiling generates digital counts of gene expression levels compared to the "analog" hybridization signals from the traditional microarray or quantitative PCR methods.

The recent advent of RNA-Seq, a massively parallel sequencing method for transcriptome analysis, provides an opportunity to expand the identification of alfalfa genes and polymorphisms, and conduct in-depth transcript profiling.