The agriGO platform, which has been serving the scientific community for> 10 years,
specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural …

Abstract Gene Set Enrichment Analysis (GSEA) is a powerful method for interpreting
biological meaning of a list of genes by computing the overlaps with various previously …

Gene Ontology (GO) analysis has become a commonly used approach for functional studies
of large-scale genomic or transcriptomic data. Although there have been a lot of software …

Background Functional enrichment of genes and pathways based on Gene Ontology (GO)
has been widely used to describe the results of various-omics analyses. GO terms …

The biological interpretation of gene lists with interesting shared properties, such as up-or
down-regulation in a particular experiment, is typically accomplished using gene ontology …

In genome-scale datasets, Gene Ontology (GO) enrichment is a common analysis to
highlight functions over-represented or under-represented in a subset of differentially …

Abstract WEGO (Web Gene Ontology Annotation Plot), created in 2006, is a simple but
useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results …

Background Biological interpretation of gene/protein lists resulting from-omics experiments
can be a complex task. A common approach consists of reviewing Gene Ontology (GO) …

Background The increased accessibility of gene expression tools has enabled a wide
variety of experiments utilizing transcriptomic analyses. As these tools increase in …

Outcomes of high-throughput biological experiments are typically interpreted by statistical
testing for enriched gene functional categories defined by the Gene Ontology (GO). The …