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GO-Elite: a flexible solution for pathway and ontology over-representation
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 annotat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413395/ https://www.ncbi.nlm.nih.gov/pubmed/22743224 http://dx.doi.org/10.1093/bioinformatics/bts366 |
_version_ | 1782240054175858688 |
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author | Zambon, Alexander C. Gaj, Stan Ho, Isaac Hanspers, Kristina Vranizan, Karen Evelo, Chris T. Conklin, Bruce R. Pico, Alexander R. Salomonis, Nathan |
author_facet | Zambon, Alexander C. Gaj, Stan Ho, Isaac Hanspers, Kristina Vranizan, Karen Evelo, Chris T. Conklin, Bruce R. Pico, Alexander R. Salomonis, Nathan |
author_sort | Zambon, Alexander C. |
collection | PubMed |
description | 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 visualized on WikiPathways or as networks. Built-in support is provided for over 60 species and 50 ID systems, covering gene, disease and phenotype ontologies, multiple pathway databases, biomarkers, and transcription factor and microRNA targets. GO-Elite is available as a web interface, GenMAPP-CS plugin and as a cross-platform application. Availability: http://www.genmapp.org/go_elite Contact: nsalomonis@gladstone.ucsf.edu Supplementary Information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3413395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34133952012-08-07 GO-Elite: a flexible solution for pathway and ontology over-representation Zambon, Alexander C. Gaj, Stan Ho, Isaac Hanspers, Kristina Vranizan, Karen Evelo, Chris T. Conklin, Bruce R. Pico, Alexander R. Salomonis, Nathan Bioinformatics Applications Note 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 visualized on WikiPathways or as networks. Built-in support is provided for over 60 species and 50 ID systems, covering gene, disease and phenotype ontologies, multiple pathway databases, biomarkers, and transcription factor and microRNA targets. GO-Elite is available as a web interface, GenMAPP-CS plugin and as a cross-platform application. Availability: http://www.genmapp.org/go_elite Contact: nsalomonis@gladstone.ucsf.edu Supplementary Information: Supplementary data are available at Bioinformatics online. Oxford University Press 2012-08-15 2012-06-27 /pmc/articles/PMC3413395/ /pubmed/22743224 http://dx.doi.org/10.1093/bioinformatics/bts366 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Zambon, Alexander C. Gaj, Stan Ho, Isaac Hanspers, Kristina Vranizan, Karen Evelo, Chris T. Conklin, Bruce R. Pico, Alexander R. Salomonis, Nathan GO-Elite: a flexible solution for pathway and ontology over-representation |
title | GO-Elite: a flexible solution for pathway and ontology over-representation |
title_full | GO-Elite: a flexible solution for pathway and ontology over-representation |
title_fullStr | GO-Elite: a flexible solution for pathway and ontology over-representation |
title_full_unstemmed | GO-Elite: a flexible solution for pathway and ontology over-representation |
title_short | GO-Elite: a flexible solution for pathway and ontology over-representation |
title_sort | go-elite: a flexible solution for pathway and ontology over-representation |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413395/ https://www.ncbi.nlm.nih.gov/pubmed/22743224 http://dx.doi.org/10.1093/bioinformatics/bts366 |
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