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  1. HAGR (View Publication)
    Full Name of the Resource : Human ageing genomic resources: Genes related to ageing in humans and model organisms
    Resource Category : Databases -> Human Genes and Diseases -> General Human Genetics Databases

    Brief Description : The Human Ageing Genomic Resources (HAGR) are a collection of databases and tools designed to help researchers understand the genetics of human ageing. A major resource in HAGR is GenAge, a curated database of genes related to human ageing. Another major database available in HAGR is AnAge. Featuring over 2,000 species, AnAge provides a basis for the comparative biology of ageing. In GenAge, each entry includes, where available, protein, ORF, and promoter sequences, chromosomal location, protein-protein interactions, function, tissue expression, protein functional domains, and a description of the gene?s relevance to human ageing. To permit a rough quantification of the impact of a given gene on human ageing, each entry also includes a brief explanation of why the gene was chosen for the database. Although GenAge is not a literature database, it contains a selection of literature references for a total of over 1,000 references. In addition, hyperlinks in each entry point the user to a variety of additional sources of information. Our goal is to provide the most relevant information about each entry in the context of human ageing but also make it easy for researchers to find additional online information.

    Institute/s :
    School of Biological Sciences, University of Liverpool,Liverpool, United Kingdom
    Address of Institute/s :
    Joao Pedro de Magalhaes, School of Biological Sciences, Biosciences Building, Room 245, University of Liverpool,Crown Street, Liverpool L69 7ZB, United Kingdom
    Country : United Kingdom

    Associated Institutes :

    • School of Biological Sciences, University of Liverpool,Liverpool, United Kingdom

    Associated Country : United Kingdom

    Authors/Contributors : de Magalhaes J.P.
    Contact Email :
    Year : 2005
    Language : English

    Keywords : Aging / genetics; Animals; Database Management Systems; Databases, Genetic; Genomics; Humans; Phenotype; User-Computer Interface