EuroPhenome: A repository for high-throughput mouse phenotyping data

Hugh Morgan, Tim Beck, Andrew Blake, Hilary Gates, Niels Adams, Guillaume Debouzy, Sophie Leblanc, Christoph Lengger, Holger Maier, David Melvin, Hamid Meziane, Dave Richardson, Sara Wells, Jacqui White, Joe Wood, Martin Hrabé De Angelis, Steve D.M. Brown, John M. Hancock, Ann Marie Mallon, Fatima BoschJesús Ruberte, Tura Ferre, Anna Pujol, Pedro Otaegui, Sylvie Franckhauser, Jacqueline Marvel, Veronique Queste, Romain Dacquin, Sophia Djebali, Pierre Jurdic, George Kollias, Christina Chandras, Eleni Douni, Vassilis Aidinis, Mariano Barbacid, Marta Cañamero, Pierre Dubus, Glauco Tocchini-Valentini, Silvia Mandillo, Elisabetta Golini, Daniela Marazziti, Giancarlo Deidda, Nicoletta Rossi, Rafaele Matteoni, Marcello Raspa, Ferdinando Scavizzi, Richard Hugh Butler, Gianfranco Di Segni, Paolo Fruscoloni, Patrizia Calandra, Cecilia Mannironi, Daniela Scarabino, Giuseppe D. Tocchini-Valentini, Michela Zamboni, Sabrina Putti, Chiara Di Pietro, Serena Gastaldi, Yann Herault, Bernard Ryffel, Marc Le Bert, Patricia Lopes Pereirea, Véronique Brault, Emilie Dalloneau, Stéphanie Pothion, Nadia Rosenthal, Mumna Al Banchaabouchi, Raffaele Migliozzi, Ekaterina Salimova, Rudi Balling, Hansjörg Hauser, Bastian Pasche, Werner Müller, Andreas Lengeling, Valérie Gailus-Durner, Helmut Fuchs, Thure Adler, Antonio Aguilar-Pimentel, Lore Becker, Raffi Bekeredjian, Dirk H. Busch, Julia Calzada-Wack, Patricia Da Silva-Buttkus, Irene Esposito, Jack Favor, Wolfgang Fleischmann, Lilian Garrett, Lisa Glasl, Alexander Götz, Jochen Graw, Wolfgang Hans, Sabine M. Hölter-Koch, Boris Ivandic, Hugo A. Katus, Martin Klingenspor, Thomas Klopstock, Tonia Ludwig, Kateryna Micklich, Sun Minxuan, Beatrix Naton, Frauke Neff

Research output: Contribution to journalArticleResearchpeer-review

70 Citations (Scopus)


© The Author(s) 2009. The broad aim of biomedical science in the postgenomic era is to link genomic and phenotype information to allow deeper understanding of the processes leading from genomic changes to altered phenotype and disease. The EuroPhenome project ( is a comprehensive resource for raw and annotated highthroughput phenotyping data arising from projects such as EUMODIC. EUMODIC is gathering data from the EMPReSSslim pipeline ( which is performed on inbred mouse strains and knock-out lines arising from the EUCOMM project. The EuroPhenome interface allows the user to access the data via the phenotype or genotype. It also allows the user to access the data in a variety of ways, including graphical display, statistical analysis and access to the raw data via web services. The raw phenotyping data captured in EuroPhenome is annotated by an annotation pipeline which automatically identifies statistically different mutants from the appropriate baseline and assigns ontology terms for that specific test. Mutant phenotypes can be quickly identified using two EuroPhenome tools: PhenoMap, a graphical representation of statistically relevant phenotypes, and mining for a mutant using ontology terms. To assist with data definition and cross-database comparisons, phenotype data is annotated using combinations of terms from biological ontologies.
Original languageEnglish
Pages (from-to)D577-D585
JournalNucleic Acids Research
Publication statusPublished - 1 Jan 2010


Dive into the research topics of 'EuroPhenome: A repository for high-throughput mouse phenotyping data'. Together they form a unique fingerprint.

Cite this