2012
DOI: 10.1093/bioinformatics/bts366
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GO-Elite: a flexible solution for pathway and ontology over-representation

Abstract: Summary: We introduce GO-Elite, a flexible and powerful pathway analysis tool for a wide array of species, identifiers (IDs), pathways, ontologies and gene sets. In addition to the Gene Ontology (GO), GO-Elite allows the user to perform over-representation analysis on any structured ontology annotations, pathway database or biological IDs (e.g. gene, protein or metabolite). GO-Elite exploits the structured nature of biological ontologies to report a minimal set of non-overlapping terms. The results can be visu… Show more

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Cited by 250 publications
(238 citation statements)
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“…To gain functional insight into the pattern of regulated genes, we applied an automated unbiased functional clustering using GOElite software (33) and gene ontology annotations to determine which functional clusters among regulated genes were statistically overrepresented (Supplemental Table III). In addition to the GO nomenclature, we identified functional clusters among regulated genes by detailed research of published literature, analyzing the occurrence of subject headings related to the functional cluster in the National Center for Biotechnology Information's gene-centric "Gene" database using an algorithm described previously (8).…”
Section: Genome-wide Expression Screening and Phenotypic Characterizamentioning
confidence: 99%
“…To gain functional insight into the pattern of regulated genes, we applied an automated unbiased functional clustering using GOElite software (33) and gene ontology annotations to determine which functional clusters among regulated genes were statistically overrepresented (Supplemental Table III). In addition to the GO nomenclature, we identified functional clusters among regulated genes by detailed research of published literature, analyzing the occurrence of subject headings related to the functional cluster in the National Center for Biotechnology Information's gene-centric "Gene" database using an algorithm described previously (8).…”
Section: Genome-wide Expression Screening and Phenotypic Characterizamentioning
confidence: 99%
“…Functional enrichment analysis was assessed using GOElite Pathway Analysis [44]. Two enrichment analyses were performed on the genes of interest by assessing: (1) enriched Gene Ontology (GO) categories, and (2) enriched KEGG pathways.…”
Section: Functional Enrichment Analysismentioning
confidence: 99%
“…Probability values were adjusted for multiple testing using the Benjamini Hochberg method for false discovery rate control. Apparent functional relationships between genes identified through these analyses were investigated further using DAVID Bioinformatic Resources 6.7 (da Huang et al 2009a, b), GO-Elite (Zambon et al 2012) to test for enrichment of pathways included in Wikipathways (www. wikipathways.org) using Cytoscape (www.cytoscape.org) for visualisation and BiblioSphere literature mining software (Genomatix Software GmbH, Munich, Germany).…”
Section: Array Data Analysismentioning
confidence: 99%