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Ali Khan, A. ; Valera Vazquez, G.* ; Gustems, M.* ; Matteoni, R.* ; Song, F.* ; Gormanns, P.* ; Fessele, S.* ; Raess, M.* ; Hrabě de Angelis, M.

INFRAFRONTIER: Mouse model resources for modelling human diseases.

Mamm. Genome 34, 408-417 (2023)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Over the last decade, INFRAFRONTIER has positioned itself as a world-class Research Infrastructure for the generation, phenotyping, archiving, and distribution of mouse models in Europe. The INFRAFRONTIER network consists of 22 partners from 15 countries, and is continuously enhancing and broadening its portfolio of resources and services that are offered to the research community on a non-profit basis. By bringing together European rodent model expertise and providing valuable disease model services to the biomedical research community, INFRAFRONTIER strives to push the accessibility of cutting-edge human disease modelling technologies across the European research landscape. This article highlights the latest INFRAFRONTIER developments and informs the research community about its extensively utilised services, resources, and technical developments, specifically the intricacies of the INFRAFRONTIER database, use of Curated Disease Models, overview of the INFRAFRONTIER Cancer and Rare Disease resources, and information about its main state-of-the-art services.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Microbiome
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 0938-8990
e-ISSN 1432-1777
Zeitschrift Mammalian Genome
Quellenangaben Band: 34, Heft: 3, Seiten: 408-417 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort One New York Plaza, Suite 4600, New York, Ny, United States
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Experimental Genetics (IEG)
POF Topic(s) 30201 - Metabolic Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-500600-001
G-500692-001
DOI 10.1007/s00335-023-10010-7
WOS ID 001033426700001
Scopus ID 85165201454
PubMed ID 37468728
Erfassungsdatum 2023-10-06
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