Nucleic Acids Research Advance Access originally published online on December 5, 2006
Nucleic Acids Research 2007 35(Database issue):D463-D467; doi:10.1093/nar/gkl1029
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Nucleic Acids Research, 2007, Vol. 35, Database issue D463-D467
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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PROPHECY—a yeast phenome database, update 2006
Department of Cell and Molecular Biology, Lundberg Laboratory, Göteborg University Medicinaregatan 9c SE-41390 Göteborg, Sweden 1 Department of Mathematical Statistics, Chalmers University of Technology SE-41296 Göteborg, Sweden 2 Department of Computer Science and Engineering, Chalmers University of Technology SE-41296 Göteborg, Sweden
*To whom correspondence should be addressed. Tel: +46 31 7732588; Fax: +46 31 7732599; Email: anders.blomberg{at}gmm.gu.se
Received September 15, 2006. Revised October 16, 2006. Accepted October 17, 2006.
Connecting genotype to phenotype is fundamental in biomedical research and in our understanding of disease. Phenomics—the large-scale quantitative phenotypic analysis of genotypes on a genome-wide scale—connects automated data generation with the development of novel tools for phenotype data integration, mining and visualization. Our yeast phenomics database PROPHECY is available at http://prophecy.lundberg.gu.se. Via phenotyping of 984 heterozygous diploids for all essential genes the genotypes analysed and presented in PROPHECY have been extended and now include all genes in the yeast genome. Further, phenotypic data from gene overexpression of 574 membrane spanning proteins has recently been included. To facilitate the interpretation of quantitative phenotypic data we have developed a new phenotype display option, the Comparative Growth Curve Display, where growth curve differences for a large number of mutants compared with the wild type are easily revealed. In addition, PROPHECY now offers a more informative and intuitive first-sight display of its phenotypic data via its new summary page. We have also extended the arsenal of data analysis tools to include dynamic visualization of phenotypes along individual chromosomes. PROPHECY is an initiative to enhance the growing field of phenome bioinformatics.
Present address: Elke Ericson, Terrence Donelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto M5S 3E1, Canada
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