Outcomes of high-throughput biological experiments are typically interpreted by 
statistical testing for enriched gene functional categories defined by the Gene 
Ontology (GO). The resulting lists of GO terms may be large and highly 
redundant, and thus difficult to interpret.REVIGO is a Web server that 
summarizes long, unintelligible lists of GO terms by finding a representative 
subset of the terms using a simple clustering algorithm that relies on semantic 
similarity measures. Furthermore, REVIGO visualizes this non-redundant GO term 
set in multiple ways to assist in interpretation: multidimensional scaling and 
graph-based visualizations accurately render the subdivisions and the semantic 
relationships in the data, while treemaps and tag clouds are also offered as 
alternative views. REVIGO is freely available at http://revigo.irb.hr/.