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  1. TRIPLES
    Full Name of the Resource : Transposon-insertion phenotypes, localization, and expression in Saccharomyces
    Resource Category : Databases -> Genomic Databases (Non-Human) -> Fungal Genome Gatabases

    Brief Description : Using a novel multipurpose mini-transposon, we have generated a collection of defined mutant alleles for the analysis of disruption phenotypes, protein localization, and gene expression in Saccharomyces cerevisiae. To catalog this unique data set, we have developed TRIPLES, a Web-accessible database of TRansposon-Insertion Phenotypes, Localization, and Expression in Saccharomyces. Encompassing over 500,000 data points, TRIPLES provides convenient access to information from nearly 28,000 transposon-mutagenized yeast strains; complete data reports of each strain may be viewed in table format, or if desired, downloaded as tab-delimited text files. Protein localization data within TRIPLES has been supplemented with over 500 fluorescent micrographs of staining patterns observed by indirect immunofluorescence analysis of indicated epitope-tagged proteins. The TRIPLES web site also provides access to similar micrographs of an additional 2,000 immunolocalized yeast proteins, generated as part of our large-scale analysis defining the subcellular localization of the yeast proteome. In total, TRIPLES now represents one of the largest on-line visual libraries of yeast protein localization to date. In addition, each report within TRIPLES contains external links to corresponding entries within the Saccharomyces Genome Database (SGD), and International Nucleic Acid Sequence Data Library (GenBank). Unlike other yeast databases, TRIPLES provides on-line order forms linked to each clone report; users may immediately request any desired strain free-of-charge by submitting a completed form. In addition to presenting a wealth of information for over 3,750 open reading frames, TRIPLES constitutes an important medium for the distribution of useful reagents throughout the yeast scientific community. Maintained by Michael Snyder's lab at Yale University, TRIPLES may be accessed at http://ygac.med.yale.edu.
    Subject Area : Saccharomyces Genome Database;


    Institute/s :
    Department of Molecular, Cell and Developmental Biology, Yale University, USA
    Address of Institute/s :
    Dept. of Mol., Cell., and Dev. Biology Yale University PO Box 208103 New Haven, CT 06520-8103, USA
    Country : United States

    Associated Institutes :

    • Dept. of Mol., Cell., and Dev. Biology Yale University PO Box 208103 New Haven, CT 06520-8103, USA
    • Center for Medical Informatics Yale University School of Medicine 333 Cedar Street PO Box 208009 New Haven, CT 06520-8009, USA

    Associated Country : USA


    Authors/Contributors : Kumar, Anuj
    Contact Email : anuj.kumar@yale.edu
    Year : 2001
    Language : English

    Keywords : Computer Graphics; DNA Transposable Elements; Database Management Systems; *Databases, Genetic; Fluorescent Antibody Technique, Indirect; Gene Expression Profiling; *Genes, Fungal; Information Storage and Retrieval; Internet; Microscopy, Fluorescence; Mutagenesis; Phenotype; Saccharomyces cerevisiae/*genetics/physiology; Saccharomyces cerevisiae Proteins/genetics/*physiology


  2. TRIPLES
    Full Name of the Resource : Transposon-insertion phenotypes, localization, and expression in Saccharomyces
    Resource Category : Databases -> Genomic Databases (Non-Human) -> Yeasts

    Brief Description : Using a novel multipurpose mini-transposon, we have generated a collection of defined mutant alleles for the analysis of disruption phenotypes, protein localization, and gene expression in Saccharomyces cerevisiae. To catalog this unique data set, we have developed TRIPLES, a Web-accessible database of TRansposon-Insertion Phenotypes, Localization, and Expression in Saccharomyces. Encompassing over 500,000 data points, TRIPLES provides convenient access to information from nearly 28,000 transposon-mutagenized yeast strains; complete data reports of each strain may be viewed in table format, or if desired, downloaded as tab-delimited text files. Protein localization data within TRIPLES has been supplemented with over 500 fluorescent micrographs of staining patterns observed by indirect immunofluorescence analysis of indicated epitope-tagged proteins. The TRIPLES web site also provides access to similar micrographs of an additional 2,000 immunolocalized yeast proteins, generated as part of our large-scale analysis defining the subcellular localization of the yeast proteome. In total, TRIPLES now represents one of the largest on-line visual libraries of yeast protein localization to date. In addition, each report within TRIPLES contains external links to corresponding entries within the Saccharomyces Genome Database (SGD), and International Nucleic Acid Sequence Data Library (GenBank). Unlike other yeast databases, TRIPLES provides on-line order forms linked to each clone report; users may immediately request any desired strain free-of-charge by submitting a completed form. In addition to presenting a wealth of information for over 3,750 open reading frames, TRIPLES constitutes an important medium for the distribution of useful reagents throughout the yeast scientific community. Maintained by Michael Snyder's lab at Yale University, TRIPLES may be accessed at http://ygac.med.yale.edu.
    Subject Area : Sacchromyces cerevisiae


    Institute/s :
    Dept. of Mol., Cell., and Dev. Biology Yale University PO Box 208103 New Haven, CT 06520-8103, USA
    Center for Medical Informatics Yale University School of Medicine 333 Cedar Street PO Box 208009 New Haven, CT 06520-8009, USA

    Country : United States

    Associated Institutes :

    • Department of Molecular, Cellular and Developmental Biology, Yale University, PO Box 208103, New Haven, CT 06520-8103, USA
    • Center for Medical Informatics, Yale University School of Medicine, 333 Cedar Street, PO Box 208009, New Haven, CT 06520-8009, USA

    Associated Country : USA


    Authors/Contributors : Kumar, A.
    Contact Email : anuj.kumar@yale.edu
    Year : 2002
    Language : English