Sentence examples for large-scale querying from inspiring English sources

To meet this challenge, the biocuration community has taken on the task of collecting and organizing published experimental data into a format suitable for large-scale querying, comparison and computational analysis (1).

AIGA is a novel approach for developing and supporting large-scale query-driven multimedia information systems.

As interactive, large-scale query processing is a strength of the RDBMS community, it is important that lessons from that field be carried over and applied where possible in this new domain.

Drill and Dremel make large-scale, ad-hoc querying of data possible, with radically lower latencies that are especially apt for data exploration.

However, to address the bias and incompleteness of such a hypothesis-driven approach, we also implemented analyses involving large-scale data-driven queries.

In DWDIS, large-scale automatic integration of query interfaces of domain-specific Web Databases (WDBs) remains a serious challenge due to the scale of the problem and the great diversity of the WDBs' query interfaces.

Second, the performance evaluation of our proposed work is extensively evaluated under a large-scale network with multiple query sessions where traffic of different users can collide and with node mobility.

Previous work suggests that using a pre-determined seed-network of gene relationships to query large-scale expression datasets is an effective way to generate candidate genes for further study and network expansion or enrichment.

To identify candidate genes that may be involved in the gene network controlling mouse development, we used genes from the extracted seed-network (ESN; mouse homologs of fly RDGN genes whose pairwise expression correlation coefficients were >|0.65| in at least one dataset) to query large-scale gene expression datasets of the developing retina (I IV).

To quantify this tradeoff, we ran miBLAST and indexed MegaBLAST on a large-scale test of 10 000 50mer queries extracted from human chromosomes 1-5.

Although information seekers employ different strategies when querying the web, large-scale search engines adopt a common approach for serving queries: they look for indexed documents that contain the query terms.