Sentence examples for microarray technology for from inspiring English sources

We have developed microarray technology for detecting autoantibodies to myelin proteins and lipids.

DNA is stable, cost-effective, environmentally benign, and easily adaptable to optical fiber and microarray technology for device manufacture.

One of the factors limiting the use of DNA microarray technology for the detection of pathogenic organisms from clinical and environmental matrices has been inadequate assay sensitivity.

Despite the general application of microarray technology for harmful algae detection is not new, a peculiar group of target species/clades has been included in this new-format assay.

Objective: The purpose of this study was to evaluate the feasibility of the DNA microarray technology for the study of the differences in gene expression between placentas of pregnancies with trisomy 21 fetuses and placentas of fetuses with a normal karyotype.

The concomitant development of microarray technology for comparative genome hybridization studies of a large set of different meningococcal isolates as well as strains from other Neisseria species has extended our understanding of meningococcal population genetics on a genome-wide scale thus bridging the gap between meningococcal epidemiology and genomics.

It includes developing and using transgenic mice, microarray technologies for expression profiling, and human population genetics.

He went on to work in Gerald Rubin's laboratory on the development of novel microarray technologies for the genome-wide study of transcription factor function in D. melanogaster.

Herein we describe the first use of fluorous-based microarrays to probe peptide sequences and begin to define the scope and limitations of fluorous microarray technologies for the screening of proteases.

Among these methods, Bayesian networks have been used since the advent of microarray technologies for GRN modeling and inference [16].

With the advent of microarray technologies for measuring genome-scale transcriptional responses, there has been a renewed interest in using computational methodologies to study systemic responses [1].