Sentence examples for using the david data from inspiring English sources

The functional classification of these genes using the DAVID data base further revealed that most of them belong to Gene Ontology categories corresponding to signal transduction, regulation of metabolic processes and gene transcription (Table 2).

We examined the composition of the group of consistent precursor cell (fNSC as model) to BTSC changes (changed in every BTSC cell) for each epigenetic mark using the DAVID server (full data in Additional files 26, 27, 28, 29, 30, 31, 32 and 33).

Data mining using the DAVID database revealed that differentially expressed genes were highly involved in inflammation-related pathways (such as Cytokine-cytokine receptor interaction pathway, Chemokine signaling pathway, and Toll-like receptor signaling pathway) (Additional file 1: Table S2).

A gene ontology (GO) analysis was performed using the DAVID website.

Using the DAVID functional annotation clustering tool, the up- and down-regulated genes can be categorized into 176 and 146 overlapping functional gene clusters, respectively.

Differentially expressed genes were categorized in GeneOntology groups using the DAVID tool (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/

Functional clustering was performed using the DAVID database.

We analyzed the 1,817 genes that were hypermethylated only in RL cells using the DAVID interface (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/

Functional annotation and enrichment analyses were done using the DAVID platform version 6.7 (http://david.abcc.ncifcrf.gov/home.jsp) [36], [37].

KEGG pathway enrichment analysis was performed using the DAVID web server (http://david.abcc.ncifcrf.gov/home.jsp).jsp

Functional classification of differentially expressed proteins was performed using the DAVID software (http://david.abcc.ncifcrf.gov/).abcc.ncifcrf.gov/