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Differentially expressed genes were categorized in GeneOntology groups using the DAVID tool (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/
The biologic data from investigations of genome-wide scale of Bartels' proteomic assay [1] and Nakagamas' gene-expression microarray assay [24] were analyzed for functional annotation clustering, using the David tool (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/
The enrichment analysis was performed using the DAVID tool [ 21, 22].
For the cow genes, we also performed a functional clustering analysis using the DAVID tool.
GO term enrichment analysis was performed using the DAVID tool (http://david.abcc.ncifcrf.gov, [ Huang et al., 2009]).
Functional gene set analysis was conducted using the DAVID tool (Huang da et al., 2009).
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The ERA genes were analyzed using the "DAVID" tools which test for over-representation of gene ontologies, pathways and protein domains.
Functional enrichment pattern of specific subsets of genes was assessed using the DAVID tools (http://david.abcc.ncifcrf.gov/) [ 80].
In our second analysis, we used the DAVID tool and determined the available annotations for this gene set.
We used the DAVID tool [ 50] to analyse the Gene Ontology (GO) functional categories of the protein coding genes located in CNVs (Table 2).
On these lists we used the DAVID tool (Huang et al., 2009a, b) to identify statistically significantly enriched KEGG pathways (Kanehisa et al., 2012) for each of the three lists of proteins connecting miRNAs and diseases relative to the background set.
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