Sentence examples for database were generated in from inspiring English sources

The sample locations were digitized as points and database were generated in association with physico-chemical properties derived from the survey points.

For RScan search, the hash tables of the structural database were generated in advance.

First, a draping knowledge database is generated in which combinations of seed points and reference angles are evaluated in terms of fiber angle deviation, scrap, ultrasonic cuts and material shear.

The contribution of proteasome expression level to the variability can be removed and in this way a database is generated in which the individual libraries have the same mean proteasome expression level.

Sequence databases were generated in Geneious Pro 5.0.4 (Biomatters, Auckland, New Zealand).

These test databases were generated in such a way that low resolution statistics can not make distinction between the real and the faked variants.

Briefly, the databases are generated in a hierarchical fashion; UniRef100 clusters are generated first using sequences from UniProtKB and UniParc, UniRef90 clusters are then generated using UniRef100 clusters and UniRef50 clusters are generated using UniRef90 clusters.

Protein databases for 'parasitic nematodes' and 'non-nematodes' were generated in-house for similarity searches.

Protein databases for 'other nematode' and 'non-nematodes' were generated in-house for similarity searches.

Since secondary structures in the structural database are generated via prediction, the composition of the structural symbols is not sufficiently credible for a statistical evaluation.

The entries of this database were generated for the chemical registration in the EU under the REACH regulation.