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  1. AGNS (View Publication)
    Full Name of the Resource : Arabidopsis GeneNet supplementary
    Resource Category : Databases -> Plant databases -> Arabidopsis thaliana

    Brief Description : AGNS (Arabidopsis GeneNet supplementary) database is an Internet-available resource that provides access to description of the functions of the known Arabidopsis genes at various levels-the levels of mRNA, protein, cell, tissue, and ultimately at the levels of organs and the organism in both wild type and mutant backgrounds. AGNS annotates published papers on gene expression and function and by this way integrates, systematizes, and classifies this heterogeneous, disparate, and scattered information. AGNS consists of three databases-the Expression Database (ED), the Phenotype Database (PD), and the Reference Database (RD)-and two controlled vocabularies. ED describes gene expression in wild type, mutants, and transgenic plants; PD contains information on phenotypic abnormalities in mutant and transgenic plants; and RD includes references to the papers and description of plant growth conditions with an indication of the ecotypes used as control in the experiments. Detailed controlled vocabularies on growth stages and morphology were developed around the annotated data. AGNS makes possible the search for genes expressed in particular organs, at particular stages, for genes whose expression is altered in particular mutants, for alleles causing particular phenotypic abnormalities, and for pleiotropic effect of particular mutations. Navigation table and search tools are used to browse the informational content of the database and controlled vocabularies.
    Subject Area : Arabidopsis Thaliana


    Institute/s :
    Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
    Address of Institute/s :
    Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
    Country : Russia


    Contact Email : nadya@bionet.nsc.ru; emj@uci.edu
    Year : 2002
    Language : English

    Keywords : Algorithms; Computational Biology; *Computer Simulation; DNA/*metabolism; *Databases, Genetic; Gene Expression Regulation; *Genes; Humans; Information Storage and Retrieval; Internet; Lymphocyte Activation/physiology; Macrophages/physiology; Proteins/metabolism; RNA/metabolism; User-Computer Interface