Sentence examples for large scale databases such from inspiring English sources

Finally, usage of the KOOS in large scale databases such as the Scandinavian ACL registries (Granan et al. 2009) and in the US MOON database (Dunn et al. 2010) enables not only cross cultural comparisons but also provides reference data (Ageberg et al. 2010).

Technology for collecting high-throughput data, such as genomic technology, mass spectrometry, and MRI imaging, and the development of large-scale databases, such as those for genomes, epidemiology, and compilations of biological information types, have made available unprecedented amounts of detailed information that require computationally intensive methodologies to access and analyze.

Several efforts have been made to explore data relevant for end-of-life care in existing large-scale databases such as disease registries, hospital discharge registers, disease-specific registers or healthcare billing data [ 7, 16, 17, 47].

Large-scale databases such as BrainMap have facilitated the assessment of such task-based functional connectivity analyses, which should present an optimal complement to resting-state functional connectivity analyses.

Also, research exploring large-scale databases such as disease registries or healthcare billing data, or once-only population-based surveys studying quality end-of-life care is primarily restricted to the UK, Canada and US [ 14- 17].

Several efforts have been made to explore data relevant for end-of-life care in existing large-scale databases such as disease registries or healthcare billing data, and newly developed population-based surveys have shed light on important aspects of quality in end-of-life care, mainly in the UK and US [ 8- 14].

This is currently done by surveying available large-scale databases, such as the 1000 Genomes Project, the Exome Variant Server, and local institutional catalogs, on the presumption that a patient with a very rare or undiagnosed condition likely has a private or even unique variant.

Nevertheless, the majority of CNVs called in our data should be present in a large-scale database such as the Database of Genomic Variants (DGV), (Zhang et al., 2006).

This trend towards higher availability of data has also seen the advent of large scale databases holding chemical reaction information, such as Reaxys (Elsevier), the CAS databases accessed through SciFinder (American Chemical Society) or ChemSpider (Royal Society of Chemistry).

However, in existing large-scale publication databases – such as Thomson Reuter's Web of Science (WoS) – metadata is often sparse, especially for older publications.

All large-scale integrative databases, such as CMRegNet, are facing the same challenge of integrating data from various sources derived by different techniques.