Sentence examples for microarray research is from inspiring English sources

A potential problem with microarray research is that sequence similarity between and within these families of closely related genes may lead to cross-hybridization.

Given recent progress, however, we suggest that the major problem for current microarray research is no longer validity of expression measurements, but rather, the reliability of inferences from the data, an issue more appropriately redressed by statistical approaches than by validation with a separate method.

The trend in microarray research is towards generating larger sets of data for analyzing complex biological problems and diseases.

One approach to microarray-based genomic research is to use cross-species hybridization (CSH) by hybridizing RNA of the studied organism to a microarray chip which contains transcripts of genes of a closely related species.

smRNA-seq rather than microarrays for miRNome research is that sequencing technology can not only profile known miRNA profiles but also help to pinpoint novel and previous unidentified miRNAs.

The most common application of microarray technology in disease research is to identify genes differentially expressed in disease versus normal tissues.

A major limitation of gene expression microarrays for translational cancer research is that they rely on the availability of fresh frozen tissue and show inconsistent performance on formalin fixed paraffin embedded tissue (FFPET) [22] [27].

Kaufmann concludes that in spite of sometimes feeling overwhelmed by too many genes and the need for a bigger computer, the UNC-CH microarray research projects are producing a data-rich picture, and are spawning whole new areas of discipline to look for patterns of change.

In this review, applications of currently available protein microarray technology to cancer research are discussed including the advantages of the new solid pin architecture for opening up powerful proteomic applications.

Three established methods of measuring gene expression used in biological research are microarrays, cDNA and Serial Analysis of Gene Expression (SAGE) libraries.

To enable the latter, an approach similar to that of the microarray research community could be adopted for gene-disease association studies: the MIAME (Minimum Information About a Microarray Experiment) guidelines encourage provision of sufficient detail about a microarray experiment for it to be replicated, and offer a format for data to be held in public repositories.