title: Phenoclustering: online mining of cross-species phenotypes.
abstract: CONCLUSIONS
  Recently, several methods for analyzing phenotype data have been published, but only few are able to cope with data sets generated in different studies, with different methods, or for different species. We developed an online system in which more than 300 000 phenotypes from a wide variety of sources and screening methods can be analyzed together. Clusters of similar phenotypes are visualized as networks of highly similar phenotypes, inducing gene groups useful for functional analysis. This system is part of PhenomicDB, providing the world's largest cross-species phenotype data collection with a tool to mine its wealth of information.
  
  
  BACKGROUND
  Freely available at http://www.phenomicdb.de
authors.affiliation: Research Laboratories of Bayer Schering Pharma AG, Berlin, Germany.
authors.forename: Philip
authors.initials: P
authors.lastname: Groth
authors.forename: Ivan
authors.initials: I
authors.lastname: Kalev
authors.forename: Ivaylo
authors.initials: I
authors.lastname: Kirov
authors.forename: Borislav
authors.initials: B
authors.lastname: Traikov
authors.forename: Ulf
authors.initials: U
authors.lastname: Leser
authors.forename: Bertram
authors.initials: B
authors.lastname: Weiss
mesh_terms: D016000:Cluster Analysis; D057225:Data Mining / Q000379:methods*; D020407:Internet; D010641:Phenotype