Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns Export

@article{citeulike:5176517, 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.}, author = {Christie, Karen R. and Hong, Eurie L. and Cherry, J. Michael}, citeulike-article-id = {5176517}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.tim.2009.04.005}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0966842X09001139}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19577472}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19577472}, doi = {10.1016/j.tim.2009.04.005}, issn = {0966842X}, journal = {Trends in Microbiology}, keywords = {annotation, saccharomyces}, month = {July}, number = {7}, pages = {286--294}, posted-at = {2009-09-13 19:20:31}, priority = {2}, title = {Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns}, url = {http://dx.doi.org/10.1016/j.tim.2009.04.005}, volume = {17}, year = {2009} }

TY - JOUR ID - citeulike:5176517 L3 - citeulike-article-id:5176517 N2 - 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. IS - 7 JF - Trends in Microbiology SN - 0966842X EP - 294 TI - Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns VL - 17 SP - 286 KW - annotation KW - saccharomyces AU - Christie, Karen AU - Hong, Eurie AU - Cherry, Michael PY - 2009/07// UR - http://dx.doi.org/10.1016/j.tim.2009.04.005 ER -