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- W2023805910 endingPage "294" @default.
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- W2023805910 abstract "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." @default.
- W2023805910 created "2016-06-24" @default.
- W2023805910 creator A5025391746 @default.
- W2023805910 creator A5028991602 @default.
- W2023805910 creator A5032016778 @default.
- W2023805910 date "2009-07-01" @default.
- W2023805910 modified "2023-10-15" @default.
- W2023805910 title "Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns" @default.
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- W2023805910 doi "https://doi.org/10.1016/j.tim.2009.04.005" @default.
- W2023805910 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3057094" @default.
- W2023805910 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19577472" @default.
- W2023805910 hasPublicationYear "2009" @default.
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