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This approach led to the definition of 18,250 transcriptional signatures (TS) that were tested for functional enrichment using the DAVID knowledgebase.
The Refseq identifiers were converted to DAVID identifiers (IDs), using the DAVID knowledgebase [ 59].
The 770 Refseq accession numbers were first converted to DAVID IDs using the DAVID knowledgebase, and then compared to the DAVID mouse-background list of genes [ 50, 59].
Gene ontology enrichment analysis using the DAVID knowledgebase [ 39] and Ingenuity Pathway Analysis IPAA) [ 40], demonstrated that the affected genes were highly enriched in genes involved in DNA damage, cell cycle arrest, and apoptosis (Tables 1 and 2).
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We used the DAVID knowledgebase [12] for functional enrichment analysis as it provided a practical mean to gain access to a wide range of heterogeneous sources of gene annotation (152,543 annotation terms were used for human, 105,207 for mouse and 39,787 for rat).
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].
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