Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns.
The quest to characterize each of the genes of the yeast Saccharomyces cerevisiae has propelled the development and application of novel high-throughput (HTP) experimental techniques. To handle the enormous amount of information generated by these techniques, new bioinformatics tools and resources are needed. Gene Ontology (GO) annotations curated by the Saccharomyces Genome Database (SGD) have facilitated the development of algorithms that analyze HTP data and help predict functions for poorly characterized genes in S. cerevisiae and other organisms. Here, we describe how published results are incorporated into GO annotations at SGD and why researchers can benefit from using these resources wisely to analyze their HTP data and predict gene functions.
Christie
Karen R
KR
Department of Genetics, Stanford University Medical School, Stanford, CA 94305-5120, USA.
Hong
Eurie L
EL
Cherry
J Michael
JM
D019295:Computational Biology / Q000379:methods*; D016681:Genome, Fungal; D012441:Saccharomyces cerevisiae / Q000235:genetics*; D029701:Saccharomyces cerevisiae Proteins / Q000235:genetics* / Q000502:physiology*; D018875:Vocabulary, Controlled
D029701:Saccharomyces cerevisiae Proteins