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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...

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Autores principales: Zambon, Alexander C., Gaj, Stan, Ho, Isaac, Hanspers, Kristina, Vranizan, Karen, Evelo, Chris T., Conklin, Bruce R., Pico, Alexander R., Salomonis, Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
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
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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.
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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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