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EuroPhenome: A repository for high-throughput mouse phenotyping data

  • The EUMODIC Consortiumy
  • Medical Research Council Mammalian Genetics Unit
  • Medical Research Council
  • ICS
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • Wellcome Sanger Institute
  • Wellcome Trust
  • Technische Universität München
  • Universitat Autònoma de Barcelona
  • IFR128
  • Alexander Fleming Biomedical Sciences Research Center
  • Spanish National Cancer Research Centre (CNIO)
  • Université de Bordeaux
  • IMM-CNR
  • IEM
  • EMBL Monterotondo
  • Helmholtz Centre for Infection Research (HZI)
  • University of Manchester
  • University of Edinburgh, Roslin Institute
  • Ludwig-Maximilians-Universität München
  • University Hospital Heidelberg
  • University of Bonn
  • University of Munich
  • University of Lausanne
  • Western General Hospital
  • Tel Aviv University
  • Telethon Institute of Genetics and Medicine
  • University of Cambridge

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

72 Zitate (Scopus)

Abstract

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 (http://www.EuroPhenome.org) 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 (http://www.empress.har.mrc.ac.uk/) 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.

OriginalspracheEnglisch
Seiten (von - bis)D577-D585
FachzeitschriftNucleic Acids Research
Jahrgang38
DOIs
PublikationsstatusVeröffentlicht - 2010

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