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 a...

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Bibliographic Details
Published in:Trends in microbiology (Regular ed.) 2009-07, Vol.17 (7), p.286-294
Main Authors: Christie, Karen R, Hong, Eurie L, Cherry, J. Michael
Format: Article
Language:English
Subjects:
Computational Biology - methods
Genome, Fungal
Internal Medicine
Saccharomyces cerevisiae
Saccharomyces cerevisiae - genetics
Saccharomyces cerevisiae Proteins - genetics
Saccharomyces cerevisiae Proteins - physiology
Vocabulary, Controlled
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Summary: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.
ISSN:0966-842X
1878-4380
DOI:10.1016/j.tim.2009.04.005