Sentence examples for databases has revealed from inspiring English sources

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Recent progress in genome and expressed sequence tag (EST) databases has revealed that many transporters and channels exist in plant genome.

A search of the national and international clinical trials databases has revealed that there is only one other trial that is being carried out in the USA [ 7].

NAT1 is represented on most microarray chips, so interrogation of public databases has revealed changes in NAT1 mRNA levels associated with different cancers and cancer subtypes [ 7].

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Together, the wealth of information stored in the AD&FTLD and PD Mutation Databases have revealed interesting observations.

Data derived from the DARTS-MEMO databases have revealed that 7.3% of patients with Type 2 diabetes treated with insulin suffered at least one episode of severe hypoglycaemia a comparable figure to patients with Type 1 diabetes treated with insulin (7.1%) [ 22].

Among the 300 macrophage genes undergoing expression variation upon LPS stimulation, the pathway analysis knowledge database has revealed that 178 gene products could be defined as "Top Bio Functions" thanks to their score (data not shown).

Mining of the E. tenella genome database has revealed over 40 protease transcripts distributed over 13 clans and 18 families of aspartic, cysteine, metallo and serine proteases.

A computational analysis by miRWalk database has revealed that 68 out of 159 upregulated miRNAs in fMBC had RASSF1A as a predicted or validated target, whereas 92 miRNAs had NORE1A.

A search for potential functions of the identified TFs of these tree crops by analysis of published papers on PubMed database has revealed that the majority of their TFs are functionally unknown.

A search for potential functions of the identified TFs of B. distachyon, maize, sorghum, and rice by literature analysis of published papers on PubMed database has revealed that although the sequences of B. distachyon, maize, sorghum, and rice have been completed, the majority of their TFs remain experimentally uncharacterized.

Analyses of this database have revealed risks in a range of clinical areas, 9 10 but what has been lacking are high-level, valid summary metrics to allow surveillance of harm across a whole healthcare system in a way that allows, for example: comparison between hospitals; monitoring of time trends and a baseline for assessing and evaluating interventions.

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