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PROPHECY--a yeast phenome database, update 2006.

Luciano Fernandez-Ricaud1, Jonas Warringer, Elke Ericson

  • 1Department of Cell and Molecular Biology, Lundberg Laboratory, Göteborg University, Medicinaregatan 9c SE-41390 Göteborg, Sweden.

Nucleic Acids Research
|December 7, 2006
PubMed
Summary

The PROPHECY database now includes all yeast genes and new data types, enhancing phenome bioinformatics. New visualization tools aid in interpreting quantitative phenotypic data for disease research.

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Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Yeast Genetics

Background:

  • Connecting genotype to phenotype is crucial for understanding disease.
  • Phenomics involves large-scale quantitative phenotypic analysis across the genome.
  • Databases are essential for integrating, mining, and visualizing phenotype data.

Purpose of the Study:

  • To expand the yeast phenomics database PROPHECY to include all yeast genes.
  • To incorporate new phenotypic data, including gene overexpression of membrane proteins.
  • To develop enhanced tools for interpreting and visualizing quantitative phenotypic data.

Main Methods:

  • Phenotyping of 984 heterozygous diploids for all essential genes.
  • Inclusion of phenotypic data from gene overexpression of 574 membrane-spanning proteins.

Related Experiment Videos

  • Development of Comparative Growth Curve Display and dynamic chromosome visualization.

    • Main Results:

    • PROPHECY now encompasses all genes in the yeast genome.
    • New datasets include gene overexpression phenotypes for membrane proteins.
    • Enhanced visualization tools (Comparative Growth Curve Display, chromosome view) improve data interpretation.

    Conclusions:

    • PROPHECY is a valuable resource for phenome bioinformatics, supporting genotype-phenotype research.
    • The expanded database and new tools facilitate the interpretation of complex phenotypic data.
    • This initiative advances the field of quantitative trait analysis in model organisms.