GO-Elite: a flexible solution for pathway and ontology over-representation

AC Zambon, S Gaj, I Ho, K Hanspers, K Vranizan… - …, 2012 - academic.oup.com
AC Zambon, S Gaj, I Ho, K Hanspers, K Vranizan, CT Evelo, BR Conklin, AR Pico
Bioinformatics, 2012academic.oup.com
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 (eg 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 …
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 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