Hong Eurie L, Balakrishnan Rama, Dong Qing, Christie Karen R, Park Julie, Binkley Gail, Costanzo Maria C, Dwight Selina S, Engel Stacia R, Fisk Dianna G, Hirschman Jodi E, Hitz Benjamin C, Krieger Cynthia J, Livstone Michael S, Miyasato Stuart R, Nash Robert S, Oughtred Rose, Skrzypek Marek S, Weng Shuai, Wong Edith D, Zhu Kathy K, Dolinski Kara, Botstein David, Cherry J Michael
Department of Genetics, Stanford University, Stanford, CA, USA.
Nucleic Acids Res. 2008 Jan;36(Database issue):D577-81. doi: 10.1093/nar/gkm909. Epub 2007 Nov 3.
The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) collects and organizes biological information about the chromosomal features and gene products of the budding yeast Saccharomyces cerevisiae. Although published data from traditional experimental methods are the primary sources of evidence supporting Gene Ontology (GO) annotations for a gene product, high-throughput experiments and computational predictions can also provide valuable insights in the absence of an extensive body of literature. Therefore, GO annotations available at SGD now include high-throughput data as well as computational predictions provided by the GO Annotation Project (GOA UniProt; http://www.ebi.ac.uk/GOA/). Because the annotation method used to assign GO annotations varies by data source, GO resources at SGD have been modified to distinguish data sources and annotation methods. In addition to providing information for genes that have not been experimentally characterized, GO annotations from independent sources can be compared to those made by SGD to help keep the literature-based GO annotations current.
酵母基因组数据库（SGD；http://www.yeastgenome.org/）收集并整理了有关芽殖酵母酿酒酵母染色体特征和基因产物的生物学信息。尽管来自传统实验方法的已发表数据是支持基因产物的基因本体论（GO）注释的主要证据来源，但在缺乏大量文献的情况下，高通量实验和计算预测也能提供有价值的见解。因此，SGD现有的GO注释包括高通量数据以及GO注释项目（GOA UniProt；http://www.ebi.ac.uk/GOA/）提供的计算预测。由于用于分配GO注释的注释方法因数据源而异，SGD的GO资源已进行修改，以区分数据源和注释方法。除了为尚未通过实验表征的基因提供信息外，来自独立来源的GO注释还可以与SGD所做的注释进行比较，以帮助使基于文献的GO注释保持最新。
