The Saccharomyces Genome Database (SGD) provides comprehensive integrated biological information for the budding yeast Saccharomyces cerevisiae along with search and analysis tools to explore these data, enabling the discovery of functional relationships between sequence and gene products in fungi and higher organisms.
Asilomar Conference Grounds, Pacific Grove, CA
Wellcome Genome Campus, Hinxton, Cambridge, UK
Macromolecular complexes, already retrievable from SGD’s YeastMine data warehouse, are now available on new pages on the SGD website. These new Complex pages (example: GAL3-GAL80 complex) provide manually curated information about the complex as well as helpful links and diagrams. Key features of Complex pages include: Manually curated summaries of the complex’s function and biology […]Read More
The alternative reference strain SK1 is a rapid and synchronously sporulating diploid constructed by Kane and Roth in the early 1970’s to study carbohydrate metabolism under sporulation conditions. Whereas the reference strain S288C is notorious for being poor at sporulation, SK1 undergoes sporulation readily, and as such has been widely used to study the genetics […]Read More
YeastRGB is a new resource for exploring protein abundance and localization. Utilizing data from the classical C-terminally tagged GFP yeast library along with new-generation collections derived from SWAp Tag (SWAT) technology, YeastRGB enables simultaneous visualization of dozens of yeast strains imaged with multiple fluorescent tags. From SGD, you can access YeastRGB through any Protein page (example: Atp12p). […]Read More
The 30th Fungal Genetics Conference takes place next year March 12-17, 2019 at Asilomar Conference Grounds in Pacific Grove, CA. The biennial Fungal Genetics Conference is a place where scientists working on any aspect of fungal genetics–such as gene regulation, evolutionary biology, cell development, fungal-host interactions and more–can come together in a common platform to share […]Read More
Fungal Pathogen Genomics is an exciting week-long course that provides experimental biologists working on fungal organisms with hands-on experience in genomic-scale data analysis. Through a collaborative teaching effort between the web-based fungal data mining resources FungiDB, EnsemblFungi, PomBase, SGD/CGD, MycoCosm, and JGI, students will learn how to utilize the unique tools provided by each database, develop […]Read More