Sentence examples for microarrays has generated from inspiring English sources

Widespread use of microarrays has generated large amounts of data, the interrogation of the public microarray repositories, identifying similarities between microarray experiments is now one of the major challenges.

This set of microarrays has generated a vast amount of data and further work is needed to identify those genes that are most important.

High-throughput genomic technologies such as microarrays have generated gene expression data at the transcription level.

The analysis of microarray data has generated several gene expression signatures that improve diagnosis and allow risk assessment.

But, while the advent of microarrays and protein profiling has generated a lot of information on gene expression during stress response, conventional gene-by-gene analysis is needed to validate these claims.

Microarray and quantitative PCR analysis has generated an expression profile for the Type I MADS-box genes in rice [ 9].

The importance of microarray data for the biological sciences has generated a large number of sophisticated analysis methods.

The advent of high-throughput technologies including microarray experiments and RNA-Seq technologies has generated terabytes of gene expression data for systematically identifying transcriptional regulation and interactions through the reconstruction of gene networks on genome-wide scale.

Recent global transcriptome studies with microarrays, however, have generated a more complex picture in the sense that not all HSA21 genes have an elevated expression level as expected [ 9, 10].

Nevertheless, microarray studies have generated new and interesting insights.

In the process of development of the marmoset microarray we have generated a set of 3215 marmoset 3' ESTs which have been submitted to GenBank.