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, Markus Ollert, The EUMODIC Consortiumy

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

72 Citations (Scopus)


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 - 2010
Externally publishedYes


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