Sentence examples for microarray technologies continue from inspiring English sources

This is of paramount significance, as new applications of microarray technologies continue to emerge, fueling their growth as an essential tool for high‐throughput proteomic studies.

As microarray technologies continue to develop, the chemistry underlying the biology will increasingly come to the forefront.

Although microarray technologies continue to make progress, genome-scale studies have been actively pursued for gene discovery and construction of biochemical and regulatory networks [ 12, 13].

As microarray technologies continue to evolve and be widely used in gene expression studies, next-generation sequencing technologies such as Illumina, 454 Life Sciences (Roche) and Applied Biosystems ABII) offer unparalleled depth, specificity and sensitivity for confident discovery of novel and rare transcripts.

Although microarray technology continues to advance, transcriptomics has expanded dramatically in the past few years because of developments in RNA sequencing (RNA-seq).

This versatility in other downstream applications helps to ensure that microarray technology continues to be relevant in crop research, despite the availability and widely recognised superiority of RNA-Seq for transcriptomic analyses.

Gene expression microarray technology continues to evolve and its use has expanded into all areas of biology.

Advances in microarray and related technologies continue to revolutionize biomedical research and are being incorporated into toxicology and risk assessment.

As microarray technologies, annotation, and techniques for analysis continue to be refined, a number of important sources of error and data misinterpretation have been identified in these early studies and are summarized in subsequent sections.

Continued development of high-throughput platforms, such as protein microarray technologies, are essential to furthering our understanding of protein function, quantitative proteomics, molecular interactions and protein profiling [1] [3].

Additionally, gene expression studies augmented by microarray technologies have been conducted to identify disease candidate genes; such efforts were made before the adoption of popular GWA studies and continue to accumulate comprehensive gene expression profiles for prostate cancer.