Sentence examples for microarrays has made from inspiring English sources

So far, the advent of protein microarrays has made flexible, high-throughput screening of multiple targets in different analytes come true.

Utilization of gene expression microarrays has made it clear that for a given gene investigated in a large enough data set other genes exist that display high similarity in expression pattern across samples.

The advent of DNA microarrays has made it easier to identify these beneficial genes.

The development of novel molecular technologies such as cDNA microarrays has made it possible to identify genes involved in chemosensitivity.

The expansion of molecular oncology, and in particular the development of cDNA microarrays, has made this a clinical reality.

The relatively new technology of DNA microarrays has made it feasible to measure the expression levels of thousands of genes in small biological samples [ 1].

High-throughput molecular technologies, including large-scale RT-PCR and cDNA microarrays, have made possible to study the gene expression profiles of tumours.

DNA microarrays have made gene expression measurements at the whole genome scale affordable for routine clinical diagnostics, and this has led to the development of gene expression signatures that may inform prognosis or treatment [ 5– 8].

Just as microarrays have made it possible to conduct DNA analysis across the entire genome, microarrays have also made it possible to study profiles of gene expression (as assessed by RNA transcripts) transcribed from all coding genes in the genome (called the transcriptome) and profiles of DNA methylation of all coding genes in the genome (called the methylome or epigenome).

Recent developments in genomic technology, particularly high-throughput cDNA sequencing and development of expressed sequence microarrays, have made possible the profiling of global gene expression in experimental fish tissues.

SNP microarrays have made it possible to conduct genome-wide association scans for complex traits and common disorders whose genetic influence is likely to be due to many genes of small effect, called quantitative trait loci (QTLs) (Hirschhorn & Daly, 2005).