GO-Elite
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionA flexible solution for pathway and ontology over-representation
Homepagehttp://www.genmapp.org/go_elite
Publications
GO-Elite: a flexible solution for pathway and ontology over-representation
Alexander C. Zambon; Stan Gaj; Isaac Ho; Kristina Hanspers; Karen Vranizan; Chris T. Evelo; Bruce R. Conklin; Alexander R. Pico; Nathan Salomonis
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.
Metrics:
68
Canned Analyses generated by the tool
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Datasets analyzed by the tool
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