Sentence examples for technology for analysis from inspiring English sources
We report the first use of this technology for analysis of gene expression in filarial male and female worms.
As TXRF is a new technology for analysis of heavy metals, this study focused more on results obtained by ICP-MS methods for discussions to compare the effect of different sonication frequencies and power inputs on heavy metal concentration in bitumen.
These results show the utility of chip technology for analysis of rheumatoid disease.
It shows a versatility of the cell array technology for analysis of gene sets at various levels of genetic information flow.
Similarly, FTA technology (fast technology for analysis of nucleic acids, i.e., a paper-based system designed to fix and store nucleic acids directly from fresh tissues) represents an alternative method when field conditions limit the ability to properly store or ship traditional sample materials.
Basic and translational research have provided new tools for molecular characterization of blood and tumor samples including high-throughput technologies for analysis of DNA, mRNAs, microRNAs and other non-coding RNAs, as well as proteins and epigenetic markers.
Performing whole genome association (WGA) scans in ALS, as well as in other disorders, depends on robust technologies for analysis of individual SNP variants.
Normalized datasets for each array were subsequently loaded into GeneSpring software (v.7·3·1; Agilent Technologies) for analysis.
With the advances in technologies for analysis and characterization of genetic information from stored samples, this issue may become even more challenging.
The development of an ever-expanding armamentarium of technologies for analysis of gene structure and function, referred to as recombinant DNA (deoxyribonucleic acid) technology, has created unprecedented opportunities for significantly improving the treatment and prevention of human diseases.
Illumina's GoldenGate [ 11], one of the most popular technologies for analysis of SNP markers, is based on BeadArray/Chips and offers genotyping with low costs per data point when large numbers of markers are assayed in parallel, but unlike DArT requires previous sequence knowledge.
