Sentence examples for microarray applications and from inspiring English sources

From each experimental group, 2.5 μg of combined total RNA was used for microarray applications and 2 μg was used for real-time RT-PCR.

The degree to which the pool of amplified RNA generated by these methods reflects the unamplified sample from which it is derived is an obvious concern for microarray applications and other downstream analyses, and the history of attempts to validate RNA amplification methods is summarized by Nygaard et al. [ 22].

In addition, the development of features for normalization within, and between arrays is critical for all microarray applications, and is particularly relevant to the application of small focused arrays where a relatively large portion of the pathways may show changes in gene expression.

Because the sample size is much smaller than the size of genes under most circumstances in the microarray application, and the small sample size makes the law of large number invalid [24], [25], it indicates that the mean and variance contain insufficient information of the data when the sample size is small.

Only recently, private enterprises embarked on this novel microarray application, and several companies are now offering microarrays for genomic copy-number profiling.

The high binding specificity of short 10 to 30 mer oligonucleotide probes enables single base mismatch (MM) discrimination and thus provides the basis for genotyping and resequencing microarray applications.

It could be directly applicable to other types of labeling dyes, such as Alexa Fluor dyes (Life Technologies, NY), which becomes available for microarray applications with high quantum yield and low photobleaching.

The variety of microarray applications allows for multiple, creative microarray designs and detection strategies.

The majority of archival tumour specimens exist as routinely prepared formalin-fixed and paraffin-embedded tissue (FFPET), which is generally regarded as being unsuitable for microarray applications due to the presence of degraded and chemically modified RNA.

We propose a set of 23 functions to facilitate the analysis of gene sets and we give two microarray applications to show how MADGene can be used to conduct meta-analyses.

In the clinical setting, some targeted microarray applications have now been approved by the U.S. Food and Drug Administration and the European Union for diagnostic use.