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  1. ApiDB (View Publication)
    Full Name of the Resource : Apicomplexan Database
    Resource Category : Databases -> Genomic Databases (Non-Human) -> Unicellular Eukaryotes Genome Databases

    Brief Description : The ApiDB website (http://apidb.org) represents a unified entry point for the NIH-funded Apicomplexan Bioinformatics Resource Center that integrates numerous database resources. The phylum Apicomplexa comprises numerous veterinary and medically important parasitic protozoa including human pathogenic species of the genera Cryptosporidium, Plasmodium and Toxoplasma. ApiDB serves not only as a database in its own right, but as a single web-based point of entry that unifies access to three major existing individual organism databases: CryptoDB (htpp://cryptodb.org), PlasmoDB (http://plasmodb.org) and ToxoDB (http://toxodb.org), and integrates these databases with data available from additional sources. Through the ApiDB site, users may pose queries and search all available apicomplexan data and tools, or they may visit individual component organism databases.
    Subject Area : Apicomplexan


    Institute/s :
    Center for Tropical and Emerging Global Diseases, Univeristy of Georgia, Athens, USA
    Address of Institute/s :
    Center for Tropical and Emerging Global Diseases, Univeristy of Georgia, Athens, GA, USA
    Country : United States

    Associated Institutes :

    • Center for Tropical and Emerging Global Diseases, Univeristy of Georgia, Athens, GA, USA
    • Department of Computer Science, University of Georgia, Athens, GA, USA
    • Department of Genetics, Center for Bioinformatics, University of Pennsylvania, Philadelphia, PA, USA
    • Penn Genomics Institute, University of Pennsylvania, Philadelphia, PA, USA
    • Department of Genetics, Univeristy of Georgia, Athens, GA, USA

    Associated Country : USA


    Authors/Contributors : J. Kissinger
    Contact Email : jkissing@uga.edu
    Year : 2007
    Language : English

    Keywords : Animals; Apicomplexa / genetics; Computational Biology; Cryptosporidium / genetics; Databases, Genetic; Genome, Protozoan; Internet; Plasmodium / genetics; Systems Integration; Toxoplasma / genetics; User-Computer Interface