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REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms

PLoS ONE · 2011 · Vol. 6(7) · pp. e21800–e21800
Fran SupekMatko BošnjakNives ŠkuncaTomislav Šmuc

Abstract

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/.

Bioinformatics and Genomic NetworksGene expression and cancer classificationBiomedical Text Mining and OntologiesComputer scienceCluster analysisInformation retrievalSemantic similaritySet (abstract data type)Multidimensional scalingGene ontologyOntologyVisualizationGraph

MeSH terms

AlgorithmsGene Expression RegulationHumansSoftwareTranscription FactorsUser-Computer InterfaceComputational BiologyInternetMolecular Sequence Annotation
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References
Semantic Similarity in Biomedical Ontologies
PLoS Computational Biology · 2009 · 793 citations
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
Molecular Biology and Evolution · 1987 · 60,290 citations
Gene Ontology: tool for the unification of biology
Nature Genetics · 2000 · 43,975 citations
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