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Gene Ontology term enrichment in up and down regulated gene sets were assessed using the GOstat web tool [37].
The differentially expressed genes were analyzed using the GOstat program (available at www.gostat.wehi.edu.au), which identifies enriched functional groups of genes based on Gene-Ontology (GO) annotations.
p-values were calculated by hypergeometric test using the GOstat module from Bioconductor.
In the first one, GO enrichment analysis was performed using the GOStat tool [ 24].
Over- and under-represented ontologies, with respect to the Drosophila genome, were Drosophila melanogaster homologies using the GOstat tool [ 38].
Functional annotation of differentially expressed genes was performed using the DAVID web-server [ 69] and GOstat [ 70]..For GOStat analysis, all significantly down-regulated transcripts with at least one associated GO description (39), previously obtained with Blast2GO, were compared against a background of 4,692 GO-annotated DLPD entries, using the GOStat program with default settings.
We analyzed the functional enrichment of genes contained in the CNVRs from the Korean population using the GOstat tool (Table 4 and 5) [ 29].
Using the GOStat program for gene ontology analysis (, [ 31]), the most overrepresented GO category for the green module was in response to temperature stimulus (GO 0009408, p = 4.4 × 10-22).
A statistical analysis using the GOstat program [ 18] confirmed the enrichment of Chinese chestnut transcritpome in these functional categories (p-value < 0.01).
Enrichment of a gene ontology annotation in a dataset of differentially expressed genes compared to the genes present on the array was determined using the GOStat program [ 62].
Statistical support was computed using the GoStat web server (Beissbarth and Speed 2004), employing a stringent cutoff of P ≤ 0.001 and Benjamini correction for false positive detection.
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