Sentence examples for datasets of more than from inspiring English sources

Triple stores are capable of handling very large datasets of more than one billion triples [25], which continuously grows with new hardware and better optimized triple stores.

Next-generation high-throughput sequencers are capable of producing large datasets of more than a million reads from a single plate [5].

For large datasets of more than hundred millions of short reads, De Bruijn graph-based assemblers could have commendable resolutions due to their short runtime and low RAM occupancy, of which SOAPdenovo performs well on very short reads, while ALLPATHS-LG could be a good choice for ∼100 bp short reads assembly, as it was described [6].

For large datasets of more than hundred millions of short reads, De Bruijn graph-based assemblers would be more appropriate.

We find that datasets of more than 100 individual values can be used without decreasing the robustness of statistical analysis, and that independently generated random subsets of data have statistically indistinguishable global properties.

This mutation, absent from population surveys and public datasets of more than ten thousand complete mtDNAs (GenBank database was searched on March 2nd 2012), was previously detected in a patient with fatal infantile LS with bilateral brainstem lesions [7].

Researchers, from Exeter University and York University, have secured funding from the Natural Environment Research Council (NERC) to analyse a dataset of more than 550 killer whales recorded over 30 years.

This instrument features a dataset of more than 150,000 images, the result of more than five years of experiments performed by dozens of users.

Our model uses a dataset of more than 30 million customers, advanced network features and prediction algorithms to model educational gender disparities accurately.

We find strong empirical support to these implications, based on a new dataset of more than 1100 licensing contracts by Japanese manufacturing firms.

Average AUC results of close to 90% are shown for categorization of 6 different pathologies in a dataset of more than 600 radiographs.