Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO). Author Selina Dwight, Midori Harris, Kara Dolinski, Catherine Ball, Gail Binkley, Karen Christie, Dianna Fisk, Laurie Issel-Tarver, Mark Schroeder, Gavin Sherlock, Anand Sethuraman, Shuai Weng, David Botstein, Michael Cherry Publication Year 2002 Type Journal Article Abstract The Saccharomyces Genome Database (SGD) resources, ranging from genetic and physical maps to genome-wide analysis tools, reflect the scientific progress in identifying genes and their functions over the last decade. As emphasis shifts from identification of the genes to identification of the role of their gene products in the cell, SGD seeks to provide its users with annotations that will allow relationships to be made between gene products, both within Saccharomyces cerevisiae and across species. To this end, SGD is annotating genes to the Gene Ontology (GO), a structured representation of biological knowledge that can be shared across species. The GO consists of three separate ontologies describing molecular function, biological process and cellular component. The goal is to use published information to associate each characterized S.cerevisiae gene product with one or more GO terms from each of the three ontologies. To be useful, this must be done in a manner that allows accurate associations based on experimental evidence, modifications to GO when necessary, and careful documentation of the annotations through evidence codes for given citations. Reaching this goal is an ongoing process at SGD. For information on the current progress of GO annotations at SGD and other participating databases, as well as a description of each of the three ontologies, please visit the GO Consortium page at http://www.geneontology.org. SGD gene associations to GO can be found by visiting our site at http://genome-www.stanford.edu/Saccharomyces/. Keywords Animals, Saccharomyces cerevisiae, Chromosome Mapping, Internet, Databases, Genetic, Information Storage and Retrieval, Saccharomyces cerevisiae Proteins, Genes, Fungal, Genome, Fungal, Database Management Systems, Physiology, Comparative Journal Nucleic Acids Res Volume 30 Issue 1 Pages 69-72 Date Published 01/2002 Alternate Journal Nucleic Acids Res. Google ScholarBibTeXEndNote X3 XML