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Related Experiment Video

Updated: Feb 18, 2026

Microarray Analysis for Saccharomyces cerevisiae
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Microarray Analysis for Saccharomyces cerevisiae

Published on: April 7, 2011

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Saccharomyces genome database informs human biology.

Marek S Skrzypek1, Robert S Nash1, Edith D Wong1

  • 1Department of Genetics, Stanford University, Stanford, CA, 94305-5120 USA.

Nucleic Acids Research
|November 16, 2017
PubMed
Summary
This summary is machine-generated.

The Saccharomyces Genome Database (SGD) provides curated functional data for budding yeast. It bridges yeast and human biology by tracking gene complementation, aiding research across species.

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Area of Science:

  • * Genomics and Bioinformatics
  • * Molecular and Cellular Biology
  • * Systems Biology

Background:

  • * The Saccharomyces Genome Database (SGD) is a comprehensive resource for functional genomics in Saccharomyces cerevisiae.
  • * SGD integrates diverse experimental data and computational predictions.
  • * Facilitating cross-species research is a key objective.

Purpose of the Study:

  • * To maintain and expand the SGD as a central hub for yeast functional information.
  • * To curate literature-derived data, including yeast-human gene complementation.
  • * To provide analysis tools that leverage integrated biological data.

Main Methods:

  • * Manual curation of published literature for functional information.
  • * Integration of experimental data and bioinformatics predictions.
  • * Development and maintenance of web-based analysis tools.

Main Results:

  • * SGD offers a continuously updated repository of Saccharomyces cerevisiae functional data.
  • * Curated yeast-human complementation data are available for download.
  • * Integrated data supports comparative genomics and functional studies.

Conclusions:

  • * SGD serves as a vital resource for yeast research and comparative biology.
  • * Yeast-human complementation data facilitates understanding of conserved biological functions.
  • * The database empowers researchers to explore gene function across evolutionary distances.