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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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Detalles Bibliográficos
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
Descripción
Sumario: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.