2012 | J. Michael Cherry*, Eurie L. Hong, Craig Amundsen, Rama Balakrishnan, Gail Binkley, Esther T. Chan, Karen R. Christie, Maria C. Costanzo, Selina S. Dwight, Stacia R. Engel, Dianna G. Fisk, Jodi E. Hirschman, Benjamin C. Hitz, Kalpana Karra, Cynthia J. Krieger, Stuart R. Miyasato, Rob S. Nash, Julie Park, Marek S. Skrzypek, Matt Simson, Shuai Weng and Edith D. Wong
The Saccharomyces Genome Database (SGD) is a community resource for the budding yeast Saccharomyces cerevisiae, providing high-quality manually curated information from peer-reviewed literature. The database integrates experimental results and high-throughput data, offering Locus Summary pages, a powerful query engine, and a rich genome browser. SGD facilitates experimental design and analysis by providing an encyclopedia of the yeast genome, its chromosomal features, functions, and interactions. Public access is available via web pages designed for ease of use.
Saccharomyces cerevisiae is widely used in biochemistry, molecular biology, and systems biology due to its ease of cultivation, genetic manipulation, and conservation of genes and pathways with higher organisms. Many genome-wide technologies were first developed using yeast before being applied to other organisms. SGD serves researchers studying Saccharomyces species and those exploring the genetics and cellular biology of other fungal genera. It also serves educators, students, and bioinformatics scientists.
SGD has been updated to include a rich biological model of experimental results, new query and display tools, and social media outlets for staying informed. The database uses structured controlled vocabularies to describe experimental results, ensuring consistent interpretation and integration of diverse data types. Manual literature curation provides high-quality annotations, while computational methods are used for rapid annotation of multiple genes. SGD also includes computational predictions from the Gene Ontology Annotation (GOA) project to improve annotations.
Phenotypes are described using the Ascomycete Phenotype Ontology (APO), and biochemical pathways are manually curated and provided via the Pathway Tools browser. SGD maintains the S. cerevisiae genomic nomenclature and updates the S288C reference genome sequence. The database also includes a pan-genomic representation of S. cerevisiae, including all protein-encoding genes and their variation across strains.
SGD incorporates high-throughput data sets and provides new query and display tools for integrated budding yeast information. The database includes a powerful interface for expression analysis and a tool called YeastMine for searching and retrieving diverse types of curated data. SGD also provides literature search tools, such as Textpresso, for searching approximately 50,000 papers. SGD is available on Facebook and Twitter for updates and news.
SGD is funded by the National Human Genome Research Institute and the Gene Ontology Consortium. The authors acknowledge the contributions of various researchers and institutions. The database is a valuable resource for yeast research and serves as a hub for yeast-related data.The Saccharomyces Genome Database (SGD) is a community resource for the budding yeast Saccharomyces cerevisiae, providing high-quality manually curated information from peer-reviewed literature. The database integrates experimental results and high-throughput data, offering Locus Summary pages, a powerful query engine, and a rich genome browser. SGD facilitates experimental design and analysis by providing an encyclopedia of the yeast genome, its chromosomal features, functions, and interactions. Public access is available via web pages designed for ease of use.
Saccharomyces cerevisiae is widely used in biochemistry, molecular biology, and systems biology due to its ease of cultivation, genetic manipulation, and conservation of genes and pathways with higher organisms. Many genome-wide technologies were first developed using yeast before being applied to other organisms. SGD serves researchers studying Saccharomyces species and those exploring the genetics and cellular biology of other fungal genera. It also serves educators, students, and bioinformatics scientists.
SGD has been updated to include a rich biological model of experimental results, new query and display tools, and social media outlets for staying informed. The database uses structured controlled vocabularies to describe experimental results, ensuring consistent interpretation and integration of diverse data types. Manual literature curation provides high-quality annotations, while computational methods are used for rapid annotation of multiple genes. SGD also includes computational predictions from the Gene Ontology Annotation (GOA) project to improve annotations.
Phenotypes are described using the Ascomycete Phenotype Ontology (APO), and biochemical pathways are manually curated and provided via the Pathway Tools browser. SGD maintains the S. cerevisiae genomic nomenclature and updates the S288C reference genome sequence. The database also includes a pan-genomic representation of S. cerevisiae, including all protein-encoding genes and their variation across strains.
SGD incorporates high-throughput data sets and provides new query and display tools for integrated budding yeast information. The database includes a powerful interface for expression analysis and a tool called YeastMine for searching and retrieving diverse types of curated data. SGD also provides literature search tools, such as Textpresso, for searching approximately 50,000 papers. SGD is available on Facebook and Twitter for updates and news.
SGD is funded by the National Human Genome Research Institute and the Gene Ontology Consortium. The authors acknowledge the contributions of various researchers and institutions. The database is a valuable resource for yeast research and serves as a hub for yeast-related data.