Gene Ontology annotations at SGD: new data sources and annotation methods

作者：Eurie L. Hong, Rama Balakrishnan, Qing Dong, Karen Christie, J. Park, Gail Binkley, Maria Cristina Costanzo, Selina S. Dwight, Stacia R. Engel, D. G. Fisk, Jodi Hirschman, B. C. Hitz, Cynthia J. Krieger, Michael S. Livstone, Stuart R. Miyasato, Robert S Nash, Rose Oughtred, Marek S. Skrzypek, Shuai Weng, Edith D. Wong, Kevin Zhu, Kara J. Dolinski, David Botstein, J. Michael Cherry · 发表于：Nucleic Acids Research · 年份：2007 · DOI：10.1093/nar/gkm909 · 被引用次数：244 · 研究领域：Bioinformatics and Genomic Networks、Fungal and yeast genetics research、Microbial Metabolic Engineering and Bioproduction

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.