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Saccharomyces Genome Database

Tutorial and training materials by OpenHelix

Learn to use Saccharomyces Genome Database (SGD), a collection of data and tools for genetic and proteomic analyses of the bakers' or budding yeast, Saccharomyces cerevisiae. As the first eukaryotic genome to be fully sequenced, Saccharomyces cerevisiae, has a unique history. Yeast is a widely used model organism for molecular biology, genetics and genomics analysis and this resource contains a tremendous amount of knowledge with extensive depth. Learn how to use this resource, so you too can effectively use the tools and mine the voluminous data available in this database.
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You'll learn:

  • to navigate the SGD site, locate Basic and Advanced Search options, and use the site map to access additional search tools
  • to perform the two Basic SGD Quick and Text Search types and understand the displays
  • to navigate the SGD Locus Page and access data from a variety of tools, tabs, and links
  • to investigate many related resources associated with SGD


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Recent BioMed Central research articles citing this resource

Peng Jiajie et al., Towards integrative gene functional similarity measurement Selected articles from the Twelfth Asia Pacific Bioinformatics Conference (APBC 2014): Bioinformatics The Twelfth Asia Pacific Bioinformatics Conference (APBC 2014). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-S2-S5

Magraner-Pardo Lorena et al., Dynamic remodeling of histone modifications in response to osmotic stress in Saccharomyces cerevisiae Eukaryote microbial genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-247

Hu Ji-Jie et al., Proteomic analysis on effectors involved in BMP-2-induced osteogenic differentiation of beagle bone marrow mesenchymal stem cells. Proteome Science (2014) doi:10.1186/1477-5956-12-13

Wang Yijie et al., Joint clustering of protein interaction networks through Markov random walk Selected articles from the Twelfth Asia Pacific Bioinformatics Conference (APBC 2014): Systems Biology The Twelfth Asia Pacific Bioinformatics Conference (APBC 2014). BMC Systems Biology (2014) doi:10.1186/1752-0509-8-S1-S9

Roobsoong Wanlapa et al., A rapid sensitive, flow cytometry-based method for the detection of Plasmodium vivax -infected blood cells. Malaria Journal (2014) doi:10.1186/1475-2875-13-55

More about the resource:

SGD is a public resource that offers an amazing wealth of data and tools to advance biological and biomedical research. The unique position of Saccharomyces cerevisiae as a model eukaryotic genetic organism with a small, well-characterized genome enhances comparative genetic analysis of humans and other model organisms. The SGD Locus Page, the basic organizing unit of SGD, is a stepping point for viewing mutant phenotype, interaction, structure-function, and expression data. All of this information can be easily analyzed by utilizing the wide variety of tools and resources that SGD provides. The SGD project is located in the Department of Genetics at the School of Medicine, Stanford University.


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