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  1. CGED - Cancer Gene Expression Database
    Resource Category : Databases -> Human Genes and Diseases -> Cancer gene databases

    Brief Description : CGED (Cancer Gene Expression Database) is a database containing gene expression profiles and accompanying clinical information. The data in CGED have been obtained through collaborative efforts made at the Nara Institute of Science and Technology and Osaka University School of Medicine to identify genes of clinical importance. The expression data have been obtained by a high-throughput RT-PCR technique (adaptor-tagged competitive PCR) (1), and patients were recruited mainly from a single hospital. The quality of the data has been demonstrated by successful identification of diagnostic genes (2-3). In CGED, the expression and clinical data are presented in a way useful for scientists interested in specific genes or biological functions. The data can be retrieved either using gene identifiers or by functional categories defined by Gene Ontology terms or the SwissProt annotation. Gene expression data are displayed in mosaic plots, and expression patterns of multiple genes, selected by names or similarity search of the patterns, can be compared. The sorting function enables users for easy recognition of relationships between gene expression and clinical parameters. Currently, data on breast, colorectal, and hepatocellular cancers are available.

    Country : Japan


    Authors/Contributors : Kato K; Yamashita R; Takagi T; Nakai K
    Language : English



  2. CGED - Cancer Gene Expression Database
    Resource Category : Databases -> Human Genes and Diseases -> Cancer gene databases

    Brief Description : CGED (Cancer Gene Expression Database) is a database containing gene expression profiles and accompanying clinical information. The data in CGED have been obtained through collaborative efforts made at the Nara Institute of Science and Technology and Osaka University School of Medicine to identify genes of clinical importance. The expression data have been obtained by a high-throughput RT-PCR technique (adaptor-tagged competitive PCR) (1), and patients were recruited mainly from a single hospital. The quality of the data has been demonstrated by successful identification of diagnostic genes (2-3). In CGED, the expression and clinical data are presented in a way useful for scientists interested in specific genes or biological functions. The data can be retrieved either using gene identifiers or by functional categories defined by Gene Ontology terms or the SwissProt annotation. Gene expression data are displayed in mosaic plots, and expression patterns of multiple genes, selected by names or similarity search of the patterns, can be compared. The sorting function enables users for easy recognition of relationships between gene expression and clinical parameters. Currently, data on breast, colorectal, and hepatocellular cancers are available.

    Institute/s :
    Taisho Laboratory of Functional Genomics, Japan.
    Address of Institute/s :
    Nara Institute of Science and Technology, 8916-5, Takayama, Nara 630-0101,
    Country : Japan

    Associated Institutes :

    • Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
    • Department of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan

    Associated Country : Japan


    Authors/Contributors : Kato K.; Yamashita R.; Takagi T.; Nakai K.
    Contact Email : kkato@bs.aist-nara.ac.jp
    Year : 1997