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TRIPLES

http://ygac.med.yale.edu

Kumar, A.1, Cheung, K.-H.2, Tosches, N.2, Masiar, P.2, Liu, Y.2, Miller, P.2, Snyder, M.1

1Dept. of Mol., Cell., and Dev. Biology Yale University PO Box 208103 New Haven, CT 06520-8103, USA
2Center for Medical Informatics Yale University School of Medicine 333 Cedar Street PO Box 208009 New Haven, CT 06520-8009, USA

Contact   anuj.kumar@yale.edu


Database 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; within TRIPLES, complete data reports of each strain may be viewed in table format, or if desired, downloaded as tab- delimited text files. Each report contains external links to corresponding entries within the Saccharomyces Genome Database(SGD),Yeast protein Database (YPD), and International Nucleic Acid Sequence Data Library (GenBank). Unlike other yeast databases, TRIPLES also 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 3,500 open reading frames, TRIPLES constitutes an important medium for the distribution of useful reagents throughout the yeast scientific community. Maintained by the Yale Genome Analysis Center, TRIPLES may be accessed at http://ygac.med.yale.edu.

Recent Developments

In response to user requests, our localization data has been supplemented with 500 fluorescent micrographs of staining patterns observed by indirect immunofluorescence analysis of indicated epitope-tagged proteins -- establishing TRIPLES as one of the largest on-line visual libraries of yeast protein localization.

Acknowledgements

This work is supported by NIH grant R01-CA77808 to M.S. A.K. is supported by a post-doctoral fellowship from the American Cancer Society.

Category   Gene Expression

Go to the abstract in the NAR 2002 Database Issue.

 

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