Phenoclustering: online mining of cross-species phenotypes.
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
Groth
Philip
P
Research Laboratories of Bayer Schering Pharma AG, Berlin, Germany.
Kalev
Ivan
I
Kirov
Ivaylo
I
Traikov
Borislav
B
Leser
Ulf
U
Weiss
Bertram
B
D016000:Cluster Analysis; D057225:Data Mining / Q000379:methods*; D020407:Internet; D010641:Phenotype