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EuroPhenome: a repository for high-throughput mouse phenotyping data

Authors: Morgan, Hugh; Beck, Tim; Blake, Andrew; Gates, Hilary; Adams, Niels; Debouzy, Guillaume; Leblanc, Sophie; +17 Authors

EuroPhenome: a repository for high-throughput mouse phenotyping data

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 high-throughput 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.

Countries
Italy, United Kingdom
Keywords

EMPRESS, Biochemistry & Molecular Biology, Protein Structure, 570, EUMODIC Consortium, Knockout, Inbred Strains, Information Storage and Retrieval, Mice, Inbred Strains, Inbred C57BL, Animals; Computational Biology/methods; Computational Biology/trends; Databases, Genetic; Databases, Protein; Information Storage and Retrieval/methods; Internet; Mice; Mice, Inbred C57BL; Mice, Inbred Strains; Mice, Knockout; Phenotype; Programming Languages; Protein Structure, Tertiary; Software, 576, Databases, Mice, Genetic, Databases, Genetic, Animals, Databases, Protein, Mice, Knockout, Internet, Science & Technology, Protein, Computational Biology, Articles, ONTOLOGIES, Protein Structure, Tertiary, Mice, Inbred C57BL, Phenotype, Programming Languages, Life Sciences & Biomedicine, FUNCTIONAL ANNOTATION, Tertiary, Software

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    67
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Top 10%
Top 10%
Top 1%
Green
gold