Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO)
By S. Dwight, M. Harris, Kara Dolinski, C. Ball, G. Binkley, Karen R. Christie, D. Fisk, L. Issel-Tarver, Mark D. Schroeder, Gavin Sherlock and 4 more. Nucleic Acids Res., 2002
387 citations recorded by the source corpus.
Subfields: Food Science, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/b26947024853c3d33315968d1dd03c056f794fc3
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In Food Science
In Molecular Biology
- Kuo-Chen Chou
- Vladimir N Uversky
- Liam J. McGuffin
- Peter N. Robinson
- Sudhir Kumar
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Citations in the corpus
- Improved detection of overrepresentation of Gene-Ontology annotations with parent-child analysis (2007, methodology): “The associations for yeast and human used in this article were provided by the Saccharomyces Genome Database (Dwight et al., 2002) and by the EBI (Camon et al., 2004b).”
- Comparative Genomics in Eukaryotes (2005, methodology): “cerevisiae genes were verified not only by the PATHWAY database, but also by using gene ontology (GO) annotations (Ashburner et al., 2000; Dwight et al., 2002).”
- The Gene Ontology Annotation (GOA) project: implementation of GO in SWISS-PROT, TrEMBL, and InterPro. (2003, background): “As these entries come from a wide range of organisms (50,000 different species), they also continue to contribute to the expansion of the ontologies by requesting new terms when necessary, thus extending the scope of the GO ontologies beyond those terms required to describe the proteins of the model”
- The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology (2004, background): “Guidelines for GO annotation have been detailed before (10) and are published on the GO home page (http://www.”
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life. (2004, methodology): “cerevisiae using the GO annotations(16) supplied with the Saccharomyces genome database (SGD).(17) The proteins in the subset containing long Figure 3.”
- Computational approaches for detecting protein complexes from protein interaction networks: a survey (2010, methodology): “This benchmark set consists of 428 gold standard protein complexes, which are from three main sources: (I) MIPS [90], (II) Aloy et al. [91] and (III) SGD database [ 92 ] based on Gene Ontology (GO) annotations.”
- Sequencing and comparison of yeast species to identify genes and regulatory elements (2003, background): “Given the biological role of Gal4, we considered the set of genes annotated to be involved in carbohydrate metabolism (126 genes according to the Gene Ontology (GO”