Sentence examples for database are categorized from inspiring English sources

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The analysis tools provided with the database are categorized either as generic or specialized.

Articles retained in the GPHIN database are categorized into one or more of the GPHIN's taxonomy categories (animal or human infectious diseases, plant diseases, natural disasters, chemical incidents, radiological incidents, nuclear incidents, and unsafe products).

The ~1,500 known IS elements in ISfinder [ 12], the most comprehensive IS database, are categorized into 20 families and some of them are further categorized into 27 groups [ 12] based on the similarities of their genetic organizations, transposase sequences and the TIR signals [ 9, 13] [see Additional file 1, Table S1].

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Those not recorded in MitoMap database were categorized as novel mtDNA variations, and those appear in the database were categorized as reported polymorphisms or mutations.

Genes, which mapped to the ingenuity pathway database, were categorized based on molecular functions, gene ontology and biological processes.

Based on sequence homology, the 32,074 unigenes annotated in the GO database were categorized into 47 functional groups.

The 32920 unigenes annotated in GO database were categorized into 57 functional groups, belonging to three main GO ontologies: biological process, cellular component, and molecular function (Fig.  3).

Confirmed introns from the database were categorized as "alternative" if they overlapped with another intron of the same locus or were involved in a "retention" event (i.e., the entire intron was part of an exon in an alternate transcript).

Exposure settings in the surveillance database were categorized as: international travel (i.e., travelled outside of Canada), private home, food premises (e.g., restaurant, grocery store, bakery, deli, caterer, mobile food premise), other (e.g., institution, hospital, farm, petting zoo, child care centre), or unknown (if the only exposure reported was "unknown").

NoSQL databases are categorized by many types such as Wide Column Store/Column Families, Document Store, Key Value/Tuple Store among many others.

In the GO-database, proteins are categorized into three networks according to different annotations, ranking known gene products after respectively: P) biological process, F) functional ability/design of the protein and C) cellular components where the protein is physically located.

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