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Morgan, H.* ; Beck, T.* ; Blake, A.* ; Gates, H.* ; Adams, N.* ; Debouzy, G.* ; Leblanc, S.* ; Lengger, C. ; Maier, H. ; Melvin, D.* ; Meziane, H.* ; Richardson, D.* ; Wells, S.* ; White, J.* ; Wood, J.* ; EUMODIC Consortium (Hrabě de Angelis, M. ; Gailus-Durner, V. ; Fuchs, H. ; Adler, T. ; Aguilar-Pimentel, J.A. ; Becker, L. ; Beckeredjian, R ; Busch, D.H. ; Calzada-Wack, J. ; Da Silva-Buttkus, P. ; Esposito, I. ; Favor, J. ; Fleischmann, W. ; Garrett, L. ; Glasl, L. ; Götz, A. ; Graw, J. ; Hans, W, ; Hölter, S.M. ; Ivandic, B. ; Katus, H.A. ; Klingenspor, M. ; Klopstock, T. ; Lengger, C. ; Ludwig, T. ; Maier, H. ; Micklich, K. ; Minxuan, S. ; Naton, B. ; Neff, F. ; Ollert, M. ; Puk, O. ; Quintanilla-Fend, L. ; Rácz, I. ; Rathkolb, B. ; Rozman, J. ; Schäble, K.-H. ; Schiller, E. ; Schrewe, A. ; Steinkamp, R. ; Stoeger, C. ; Stöger, T. ; Schulz, S. ; Tost, M. ; Treise, I. ; Vogt Weisenhorn, D.M. ; Willershäuser, M. ; Wolf, E. ; Zimprich, A. ; Wurst, W. ; Zeh, R.M. ; Zimmer, A.) ; Hrabě de Angelis, M. ; Brown, S.* ; Hancock, J.M.* ; Mallon, A.M.*

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

Nucleic Acids Res. 38, 1, D577-D585 (2010)
Verlagsversion Volltext DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Functional annotation; Empress; Ontologies; Resource; Screens; Animals; Computational Biology/methods; Computational Biology/trends; Databases; Genetic; Information Storage and Retrieval/methods; Internet; Mice; Inbred C57BL; Inbred Strains; Knockout; Phenotype; Software; FUNCTIONAL ANNOTATION; EMPRESS; ONTOLOGIES; RESOURCE; SCREENS
Sprache englisch
Veröffentlichungsjahr 2010
HGF-Berichtsjahr 2010
ISSN (print) / ISBN 0305-1048
e-ISSN 1362-4962
Zeitschrift Nucleic Acids Research
Quellenangaben Band: 38, Heft: Database Issue, Seiten: D577-D585, Artikelnummer: , Supplement: 1
Verlag Oxford University Press
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Experimental Genetics (IEG)
Institute of Lung Health and Immunity (LHI)
Institute of Developmental Genetics (IDG)
Institute of Human Genetics (IHG)
Institute of Virology (VIRO)
Institute of Molecular Immunology (IMI)
Institute of Pathology (PATH)
POF Topic(s) 30201 - Metabolic Health
30202 - Environmental Health
30204 - Cell Programming and Repair
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er) Genetics and Epidemiology
Lung Research
Immune Response and Infection

Enabling and Novel Technologies
PSP-Element(e) G-500600-003
G-505000-001
G-505000-004
G-500500-002
G-500500-001
G-500700-002
G-520100-001
G-501700-003
G-500300-001
PubMed ID 19933761
DOI 10.1093/nar/gkp1007
WOS ID 000276399100093
Scopus ID 75549084662
Erfassungsdatum 2010-03-16
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