title: GO-Elite: a flexible solution for pathway and ontology over-representation.
abstract: 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.
  
  
  BACKGROUND
  http://www.genmapp.org/go_elite
authors: Departments of Pharmacology and Medicine, University of California at San Diego, La Jolla, CA 92093, USA.
authors: Alexander C
authors: AC
authors: Zambon
authors: Stan
authors: S
authors: Gaj
authors: Isaac
authors: I
authors: Ho
authors: Kristina
authors: K
authors: Hanspers
authors: Karen
authors: K
authors: Vranizan
authors: Chris T
authors: CT
authors: Evelo
authors: Bruce R
authors: BR
authors: Conklin
authors: Alexander R
authors: AR
authors: Pico
authors: Nathan
authors: N
authors: Salomonis
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled