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      REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms

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          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/.

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          Most cited references14

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Integration of biological networks and gene expression data using Cytoscape.

            Cytoscape is a free software package for visualizing, modeling and analyzing molecular and genetic interaction networks. This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest. Five major steps are described: (i) obtaining a gene or protein network, (ii) displaying the network using layout algorithms, (iii) integrating with gene expression and other functional attributes, (iv) identifying putative complexes and functional modules and (v) identifying enriched Gene Ontology annotations in the network. These steps provide a broad sample of the types of analyses performed by Cytoscape.
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              Cytoscape Web: an interactive web-based network browser

              Summary: Cytoscape Web is a web-based network visualization tool–modeled after Cytoscape–which is open source, interactive, customizable and easily integrated into web sites. Multiple file exchange formats can be used to load data into Cytoscape Web, including GraphML, XGMML and SIF. Availability and Implementation: Cytoscape Web is implemented in Flex/ActionScript with a JavaScript API and is freely available at http://cytoscapeweb.cytoscape.org/ Contact: gary.bader@utoronto.ca Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                18 July 2011
                : 6
                : 7
                : e21800
                Affiliations
                [1 ]Division of Electronics, Rudjer Boskovic Institute, Zagreb, Croatia
                [2 ]Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, Barcelona, Spain
                University of North Carolina at Charlotte, United States of America
                Author notes

                Conceived and designed the experiments: FS TS. Performed the experiments: FS MB. Analyzed the data: FS MB NS. Wrote the paper: FS NS.

                Article
                PONE-D-11-04111
                10.1371/journal.pone.0021800
                3138752
                21789182
                e84d8d10-4069-432b-bc6e-d9ff9dce2181
                Supek et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 2 March 2011
                : 7 June 2011
                Page count
                Pages: 9
                Categories
                Research Article
                Biology
                Genetics
                Gene Function
                Genomics
                Genome Analysis Tools
                Gene Ontologies
                Functional Genomics
                Genome Expression Analysis
                Computer Science
                Computer Applications
                Web-Based Applications

                Uncategorized
                Uncategorized

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