Sentence examples for database assays from inspiring English sources

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The training sets for the benchmarked models were obtained from PubChem BioAssay database (assays AID410, AID883, AID899, AID884 and AID891 for CYP1A2, 2C9, 2C19, 3A4 and 2D6, respectively).

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Databases assayed for enrichment include gene ontology, PANTHER, KEGG pathway, and SP-PIR keywords of functional category and tissue expression (Huang da et al. 2009a, b).

The detailed target annotations in the PubChem BioAssay database (assay identifier: AID) made this step very straightforward.

In his plenary lecture, John Butler noted that the mini-satellite marker systems have stood the test of time and the high levels of polymorphisms continue to contribute to the DNA profile database that assays a set of 15 simple tandem repeats (STRs).

Assay count for each assay-type category in the PubChem BioAssay database: (a) for assays that have at least one tested molecule with 3-D information (as of January 28 , 2010, (b) for assays that have at least one noninactive-noninactive (NN) pair and one noninactive-inactive (NI) pair, and (c) for assays that have at least six NN pairs and six NI pairs.

GO, BBID, Biocarta, KEGG, Panther, and Reactome databases were assayed for affected terms.

This software and database provide assays that can rapidly genotype CNV, cost-effectively, on a large number of samples and will enable the widespread adoption of PRT.

For the quantitative RT-PCR experiments we considered 14 genes mapped on Mmu17, between the Abcg1 and U2af1 genes (mm9 database, ENSEMBL); assays for the Umodl1, Abcg1, U2af1, and Cryaa genes were also designed to check the expression of genes located at the borders of the interval.

To this end, we first performed database searches and RT-PCR andays and identified PB000869.01.0 (PBabbreviated, abbrevinted in plasmid and parasite names as 869), as being expressed at a low level in the liver relative to other stages (data not shown).

This then leads to purposeful intervention into the databases, including rejecting low quality data, abandoning some assays from the database, and clustering certain end points as repetitive rather that independent of each other.

We then present four major fronts where the evolutionary perspective is most developed, namely laboratory and clinical models, mathematical models, databases, and techniques and assays.

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