Sentence examples for data processing burden from inspiring English sources

Unbiased sequencing not only poses an enormous data processing burden, but also impedes deep sequencing.

However the sequencing and data processing burden is still the bottleneck for widespread use of unbiased sequencing.

Whole-exome sequencing (WES) is presently one of the most efficient means of identifying aetiological genetic mutations [ 1], minimising some of the challenges associated with whole-genome sequencing, such as high cost and data processing burden, analysis and interpretation.

Electronic medical records provide a number of advantages in terms of medical care, including decreased paperwork, improved administrative efficiency, reduction of time-consuming medical record data collection, and decreased data processing burden [ 4].

Browser-based storage increases the flexibility of apps to collect and manipulate data by shifting some processing burden from servers to the browser.

With the rapid increase in the numbers of new generation Global Navigation Satellite Systems (GNSS) satellites, signal frequencies and ground tracking stations, the burden on data processing increases significantly, especially for those real-time or near real-time applications, e.g. generating ultra-rapid satellite orbit and Earth rotation parameters (ERP) products.

Our natural senses and functions are supplemented by computers and mobile phones (which relieve our brains of some of their data storage and processing burdens).

Hadoop is a popular technology for big data processing on cloud to offload computing burden from terminals.

During the course of designing and validating the pipeline, we have learned that shifting the burden of the data processing from the CAs to a few trained PAs with a set of custom scripts at their disposal greatly enhances the efficiency of the submission process and stimulates greater CA participation.

Chemical processes > Data processing.

The cost of monitors, complexity of data processing and analysis, problems with compliance and burden on participants also limit their use in large population-based studies [ 14].