GOAT online gene set enrichment analysis

Identify enriched Gene Ontology terms within a list of gene effect sizes from e.g. proteomics or gene expression studies with the Gene set Ordinal Association Test (GOAT)

GOAT algorithm features:

Sensitive: more significant gene sets as compared to other methods
Accurate: gene set p-values are accurate under the null hypothesis
Fast: completes in seconds
No arbitrary parameters:
unlike ORA, no fiddle parameters for ">k foreground genes" or "gene significance cutoff"
Bootstrapping approach always uses the appropriate "background set":
avoids all pitfalls commonly observed for ORA, as outlined by Wijesooriya et al. (2022)
Available as an R package and online data analysis tool (GOAT online in the above menu)

*ORA: classical overrepresentation analysis (i.e. Fisher-exact or hypergeometric test)

The GOAT algorithm is described in;
Koopmans, F. (2024). GOAT: efficient and robust identification of gene set enrichment. Communications Biology, 7(1), 744.
https://doi.org/10.1038/s42003-024-06454-5

Example treemap figure generated by GOAT online

Interactive data analysis tools

Easy to use
Gene set databases from GO, SynGO, or upload your own (e.g. KEGG)
Download results in convenient Excel format
Includes Methods text tailored to your analyses
Create customized publication-ready figures

Customize your figures

Resize the figure, change text size, colors, etc.
Figures are live-updated as you change settings
High-resolution figures in SVG format

Example heatmap figure generated by GOAT online

A wide variety of data visualizations

Interactive data table
Barplots / Lollipop charts
GO relations as compact tree
Treemap of GO relations
Heatmap of gene set similarities