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)
The GOAT algorithm is described in the preprint manuscript;
Koopmans, F. (2023). GOAT: efficient and robust identification of gene set enrichment.
https://doi.org/10.1101/2023.12.10.570979
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
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