Sentence examples for more large datasets from inspiring English sources

Track data hubs provide the power and flexibility to organize, configure and fully integrate one or more large datasets into the browser and allow efficient worldwide access to the data through the familiar Genome Browser interface.

Due to the availability of more and more large-scale datasets from modern pyro-sequencing techniques, high-throughput analysis methods for thousands of RNAs are needed.

Such systematic explorations raise the possibility for targeted interventions and will become a growing trend in the future as more large-scale datasets like the CMap will become available.

We investigate N ^ e across a range of Pcrit values because low-frequency alleles are more common in large datasets.

This is more feasible with large datasets because removing a part of the data will theoretically leave enough informative positions to recover confidence and consistency.

The continuing decline in the cost of high throughput "Next Generation" sequencing methods ensures that many more large scale transcriptome datasets will become available in the near future for these and other genome-enabled approaches to plant phylogenetics.

More large-scale dataset with more complex notion of causality can also be incorporated into our methodology as they become available in the future.

The more people who investigate these large datasets, the more likely these new concepts will emerge – biological research needs them.

The developed algorithms allow the processing on user-grade machines, preventing the need for more powerful devices on large datasets.

In order to be more efficient in processing large datasets, the function also provides a parallel processing option, which may speed up the processing time significantly if the input data contains millions of data points.

Secondly, processing such large datasets more efficiently remains difficult.