Sentence examples for volumes of data produced from inspiring English sources

With Run II of the Fermilab Tevatron well underway, many computing challenges inherent to analyzing large volumes of data produced in particle physics research will need to be met.

A Big Data scenario can be envisaged in which computational analytic techniques can extract innovative knowledge from the large volumes of data produced by these quantum calculations so that they can be predicted in new situations 5 6 orders of magnitude faster.

The SegSeq implementation can not effectively handle the large volumes of data produced here due to memory limitations, so we divided our original datasets (∼50M reads per sample, ∼0.8x sequence coverage) into random subsets (∼12M reads each, ∼0.2x sequence coverage).

The remaining challenge is to process the massive volumes of data produced by such approaches.

Classification of large volumes of data produced in a microarray experiment allows for the extraction of important clues as to the nature of a disease.

Often there is a trade-off between speed and sensitivity at the read alignment stage with speed sometimes prioritized due to the volumes of data produced by NGS technologies and the corresponding time required for analysis.

In order to generate a list of winners for Forbes, this research firm looked at the enormous volume of data produced by over 2,700 sell-side security analysts.

Various computational tools have been created to facilitate the analysis of the large volume of data produced in DNA microarray experiments.

The computational layer needs to exploit the improvements and benefits offered by the latest Big Data frameworks in order to be able to handle the sheer volume of data produced by the physical layer.

However, like my smart home products, the volume of data produced greatly exceeds the amount of useful information, and the usefulness declines over time.

While much has been written on the data deluge in genomics, biodiversity research has undergone a similar explosion in the throughput and volume of data produced.