GoBean: a Java GUI application for visual exploration of GO term enrichments
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초록
We have developed a biologist-friendly, Java GUI application (GoBean) for GO term enrichment analysis. It was designed to be a comprehensive and flexible GUI tool for GO term enrichment analysis, combining the merits of other programs and incorporating extensive graphic exploration of enrichment results. An intuitive user interface with multiple panels allows for extensive visual scrutiny of analysis results. The program includes many essential and useful features, such as enrichment analysis algorithms, multiple test correction methods, and versatile filtering of enriched GO terms for more focused analyses. A unique graphic interface reflecting the GO tree structure was devised to facilitate comparisons of multiple GO analysis results, which can provide valuable insights for biological interpretation. Additional features to enhance user convenience include built in ID conversion, evidence code-based gene-GO association filtering, set operations of gene lists and enriched GO terms, and user -provided data files. It is available at http://neon.gachon.ac.kr/GoBean/. [BMB reports 2012; 45(2):120-125]
Abstract
We have developed a biologist-friendly, Java GUI application (GoBean) for GO term enrichment analysis. It was designed to be a comprehensive and flexible GUI tool for GO term enrichment analysis, combining the merits of other programs and incorporating extensive graphic exploration of enrichment results. An intuitive user interface with multiple panels allows for extensive visual scrutiny of analysis results. The program includes many essential and useful features, such as enrichment analysis algorithms, multiple test correction methods, and versatile filtering of enriched GO terms for more focused analyses. A unique graphic interface reflecting the GO tree structure was devised to facilitate comparisons of multiple GO analysis results, which can provide valuable insights for biological interpretation. Additional features to enhance user convenience include built in ID conversion, evidence code-based gene-GO association filtering, set operations of gene lists and enriched GO terms, and user -provided data files. It is available at http://neon.gachon.ac.kr/GoBean/. [BMB reports 2012; 45(2):120-125]
참고문헌 (28)
- "Gene Ontology Tools"[URL]
- Khatri, P., "Ontological analysis of gene expression data: current tools, limitations, and open problems", Bioinformatics, 21, pp.3587~3595 (2005)
- Huang da, W., "Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists", Nucleic Acids Res., 37, pp.1~13 (2009)
- Rhee, S. Y., "Use and misuse of the gene ontology annotations", Nature reviews. Genetics., 9, pp.509~515 (2008)
- "GO Slim and Subset Guide"[URL]
- Flicek, P., "Ensembl 2011", Nucleic Acids Res., 39, pp.D800~D806 (2011)
- Zeeberg, B. R., "GoMiner: a resource for biological interpretation of genomic and proteomic data", Genome Biology, 4, pp.R28~ (2003)
- Zheng, Q., "GOEAST: a web-based software toolkit for Gene Ontology enrichment analysis", Nucleic Acids Res., 36, pp.W358~W363 (2008)
- Beissbarth, T., "GOstat: find statistically overrepresented Gene Ontologies within a group of genes", Bioinformatics, 20, pp.1464~1465 (2004)
- Huang da, W., "Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources", Nat. Protoc., 4, pp.44~57 (2009)
- Al-Shahrour, F., "FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes", Bioinformatics, 20, pp.578~580 (2004)
- Draghici, S., "Onto-Tools, the toolkit of the modern biologist: Onto-Express, Onto-Compare, Onto-Design and Onto-Translate", Nucleic Acids Res., 31, pp.3775~3781 (2003)
- Bauer, S., "Ontologizer 2.0-a multifunctional tool for GO term enrichmentanalysis and data exploration", Bioinformatics, 24, pp.1650~1651 (2008)
- Eden, E., "GOrilla: a tool for discovery and visualization of enrichedGO terms in ranked gene lists", BMC Bioinformatics, 10, pp.48~ (2009)
- Sun, H., "GOFFA: gene ontology for functional analysis--a FDA gene ontology tool for analysis of genomic and proteomic data", BMC Bioinformatics, 7(Suppl 2), pp.S23~ (2006)
- "topGO - Enrichment analysis for Gene Ontology"[URL]
- "Graphviz - Graph Visualization Software"[URL]
- "NetBeans Platform"[URL]
- Rivals, I., "Enrichment or depletion of a GO category within a class of genes: which test?", Bioinformatics, 23, pp.401~407 (2007)
- "The R Project for Statistical Computing"[URL]
- Grossmann, S., "Improved detection of overrepresentation of Gene-Ontology annotations with parent child analysis", Bioinformatics, 23, pp.3024~3031 (2007)
- Alexa, A., "Improved scoring of functional groups from gene expression data by decorrelating GO graph structure", Bioinformatics, 22, pp.1600~1607 (2006)
- Noble, W. S., "How does multiple testing correction work?", Nature Biotechnology, 27, pp.1135~1137 (2009)
- "Eclipse RCP"[URL]
- "SwingsLabs Swing Component Extensions"[URL]
- "NetBeans Visual Library"[URL]
- "High-performance JSON processor"[URL]
- "Batik SVG Toolkit"[URL]
