REVIGO summarizes and visualizes long lists of gene ontology terms

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 tha...

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Bibliographic Details
Published in:PloS one 2011-07, Vol.6 (7), p.e21800-e21800
Main Authors: Supek, Fran, Bošnjak, Matko, Škunca, Nives, Šmuc, Tomislav
Format: Article
Language:English
Subjects:
Acids
Algorithms
Bioinformatics
Biology
Breast cancer
Clouds
Clustering
Computational Biology - methods
Computer Science
Experiments
Gene expression
Gene Expression Regulation
Genes
Genomes
Genomics
Graphical representations
Humans
Internet
Lists
Molecular Sequence Annotation
Multidimensional scaling
Ontology
Prokaryotes
Researchers
Semantics
Servers
Software
Subdivisions
Transcription Factors - genetics
Transcription Factors - metabolism
User-Computer Interface
Visualization (Computer)
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Description
Summary: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/.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0021800