Sentence examples for microarrays and next-generation from inspiring English sources
Thus, these projects typically comprise Systems Biology Markup Language (SBML) models as well as nuclear magnetic resonance data, proteomics data, microarrays and next-generation sequencing data generated in the experimental phase only naming the most prominent ones.
With recent advancements in miRNA microarrays and next-generation sequencing, miRNA expression profiles of many species are being generated at a rapid pace.
Newer technologies of measurement — microarrays and next-generation sequencing — may be capable of seeing staggering amounts of data, but figuring out how to analyze their results and model them dynamically is more difficult.
In addition, the new frontier of genomic technologies, including chromosome microarrays and next-generation sequencing, improved our understanding of the genetic architecture of epilepsies.
Some recent reports, which systematically compare microarrays and next-generation sequencing, have clearly proven the superiority of the latter, both with respect to low frequency of false positive signals and high reproducibility of the method [12], [13].
These include approaches based on quantitative PCR (qPCR), microarrays and next-generation sequencing (Table 1).
The huge amount of gene expression data generated by microarray and next-generation sequencing technologies present challenges to exploit their biological meanings.
Recent technologies such as microarray and next-generation sequencing have paved the way for computational methods and techniques to play critical roles in this regard.
Microarray and next-generation sequencing technologies have the potential to provide this information.
In the past five years, comprehensive genomic variations, which cannot be visualized by microscope, have been revealed using high-density microarray and next-generation sequencing (NGS) platforms [9], [10].
Recent technique developments in high-density promoter microarray and next-generation sequencing have enabled the genome-wide monitoring of alternative promoter activity and transcriptome change under different conditions [5], [6], [40], [41], [42].
