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Related Experiment Video

Updated: Jun 18, 2026

Mouse Eye Enucleation for Remote High-throughput Phenotyping
05:30

Mouse Eye Enucleation for Remote High-throughput Phenotyping

Published on: November 19, 2011

EuroPhenome: a repository for high-throughput mouse phenotyping data.

Hugh Morgan1, Tim Beck, Andrew Blake

  • 1MRC Harwell, Mammalian Genetics Unit, MRC Harwell, Mary Lyon Centre, Harwell Science and Innovation Campus, Oxfordshire OX11 0RD, UK.

Nucleic Acids Research
|November 26, 2009
PubMed
Summary

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The EuroPhenome project provides a resource for high-throughput phenotyping data, linking genomic and phenotype information. This aids in understanding how genomic changes lead to disease.

Area of Science:

  • Biomedical Science
  • Genomics
  • Phenomics

Background:

  • The postgenomic era requires linking genomic and phenotype data for disease understanding.
  • High-throughput phenotyping generates vast amounts of complex biological data.
  • Integrating diverse data sources is crucial for comprehensive analysis.

Purpose of the Study:

  • To present the EuroPhenome project as a resource for raw and annotated high-throughput phenotyping data.
  • To describe the data acquisition pipeline involving EUMODIC, EMPReSSslim, and EUCOMM projects.
  • To highlight the functionalities of the EuroPhenome interface for data access and analysis.

Main Methods:

  • Data collection from EUMODIC using the EMPReSSslim pipeline on mouse strains and knock-out lines.

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Last Updated: Jun 18, 2026

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  • Development of an annotation pipeline to identify statistically different mutants and assign ontology terms.
  • Implementation of user-friendly interfaces for data retrieval via phenotype or genotype, including graphical display and web services.

    • Main Results:

    • EuroPhenome provides access to raw and annotated phenotyping data.
    • An automated annotation pipeline identifies significant phenotypic differences and assigns ontology terms.
    • Tools like PhenoMap facilitate rapid identification of mutant phenotypes through graphical representation and ontology mining.

    Conclusions:

    • The EuroPhenome project serves as a valuable resource for biomedical research by integrating genomic and phenotyping data.
    • Automated annotation and user-friendly tools enhance the accessibility and utility of complex phenotyping datasets.
    • Standardized annotation using biological ontologies supports data definition and cross-database comparisons, advancing the understanding of genotype-phenotype relationships.