For one study comparing microarrays and RNA-seq, each Affymetrix array produced 5 megabytes of raw data. RNA-seq on the same immune-cell sample using 100 million reads—admittedly extraordinarily high ...

A cross-platform comparison of differential gene expression analysis. RNA-Seq is a powerful sequencing method that enables researchers to discover, profile and quantifyRNA transcripts across the ...

Although they have their differences, RNA-Seq and microarrays are not mutually exclusive. In many instances the two technologies can be combined for a more accurate assessment of the transcriptome.

A second advantage of RNA-Seq relative to DNA microarrays is that RNA-Seq has very low, if any, background signal because DNA sequences can been unambiguously mapped to unique regions of the genome.

Microarrays and RNA-seq “RNA has always been a challenging molecule due to its limited stability,” cautions Raymond Miller, PhD, global product manager, Diagnostic and Genomic Group, ...

Prior to the invention of RNA-seq, gene expression microarrays were used to analyze the transcriptome. Now, with the invention of NGS, RNA-seq has many benefits over gene expression arrays, including: ...

To demonstrate the utility of RNA-Seq technology in predicting patient outcomes, the FDA, BGI and the University Children's Hospital of Cologne have been conducting together a study of cancer ...

What is the most appropriate technology to empower your research? Next generation sequencing (NGS) for RNA (RNA-Seq) has advanced significantly over the last decade having gained popularity for ...

Their research combined immune cell-enriched single-cell RNA sequencing (scRNA-seq), microarray analysis, and immunohistochemistry to evaluate the impact of IL-17A blockades on human psoriasis ...