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Gene Ontology annotations at SGD: new data sources and annotation methods

The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) collects and organizes biological information about the chromosomal features and gene products of the budding yeast Saccharomyces cerevisiae. Although published data from traditional experimental methods are the primary sources of...

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Autores principales: Hong, Eurie L., Balakrishnan, Rama, Dong, Qing, Christie, Karen R., Park, Julie, Binkley, Gail, Costanzo, Maria C., Dwight, Selina S., Engel, Stacia R., Fisk, Dianna G., Hirschman, Jodi E., Hitz, Benjamin C., Krieger, Cynthia J., Livstone, Michael S., Miyasato, Stuart R., Nash, Robert S., Oughtred, Rose, Skrzypek, Marek S., Weng, Shuai, Wong, Edith D., Zhu, Kathy K., Dolinski, Kara, Botstein, David, Cherry, J. Michael
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238894/
https://www.ncbi.nlm.nih.gov/pubmed/17982175
http://dx.doi.org/10.1093/nar/gkm909
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author Hong, Eurie L.
Balakrishnan, Rama
Dong, Qing
Christie, Karen R.
Park, Julie
Binkley, Gail
Costanzo, Maria C.
Dwight, Selina S.
Engel, Stacia R.
Fisk, Dianna G.
Hirschman, Jodi E.
Hitz, Benjamin C.
Krieger, Cynthia J.
Livstone, Michael S.
Miyasato, Stuart R.
Nash, Robert S.
Oughtred, Rose
Skrzypek, Marek S.
Weng, Shuai
Wong, Edith D.
Zhu, Kathy K.
Dolinski, Kara
Botstein, David
Cherry, J. Michael
author_facet Hong, Eurie L.
Balakrishnan, Rama
Dong, Qing
Christie, Karen R.
Park, Julie
Binkley, Gail
Costanzo, Maria C.
Dwight, Selina S.
Engel, Stacia R.
Fisk, Dianna G.
Hirschman, Jodi E.
Hitz, Benjamin C.
Krieger, Cynthia J.
Livstone, Michael S.
Miyasato, Stuart R.
Nash, Robert S.
Oughtred, Rose
Skrzypek, Marek S.
Weng, Shuai
Wong, Edith D.
Zhu, Kathy K.
Dolinski, Kara
Botstein, David
Cherry, J. Michael
author_sort Hong, Eurie L.
collection PubMed
description The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) collects and organizes biological information about the chromosomal features and gene products of the budding yeast Saccharomyces cerevisiae. Although published data from traditional experimental methods are the primary sources of evidence supporting Gene Ontology (GO) annotations for a gene product, high-throughput experiments and computational predictions can also provide valuable insights in the absence of an extensive body of literature. Therefore, GO annotations available at SGD now include high-throughput data as well as computational predictions provided by the GO Annotation Project (GOA UniProt; http://www.ebi.ac.uk/GOA/). Because the annotation method used to assign GO annotations varies by data source, GO resources at SGD have been modified to distinguish data sources and annotation methods. In addition to providing information for genes that have not been experimentally characterized, GO annotations from independent sources can be compared to those made by SGD to help keep the literature-based GO annotations current.
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spelling pubmed-22388942008-02-12 Gene Ontology annotations at SGD: new data sources and annotation methods Hong, Eurie L. Balakrishnan, Rama Dong, Qing Christie, Karen R. Park, Julie Binkley, Gail Costanzo, Maria C. Dwight, Selina S. Engel, Stacia R. Fisk, Dianna G. Hirschman, Jodi E. Hitz, Benjamin C. Krieger, Cynthia J. Livstone, Michael S. Miyasato, Stuart R. Nash, Robert S. Oughtred, Rose Skrzypek, Marek S. Weng, Shuai Wong, Edith D. Zhu, Kathy K. Dolinski, Kara Botstein, David Cherry, J. Michael Nucleic Acids Res Articles The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) collects and organizes biological information about the chromosomal features and gene products of the budding yeast Saccharomyces cerevisiae. Although published data from traditional experimental methods are the primary sources of evidence supporting Gene Ontology (GO) annotations for a gene product, high-throughput experiments and computational predictions can also provide valuable insights in the absence of an extensive body of literature. Therefore, GO annotations available at SGD now include high-throughput data as well as computational predictions provided by the GO Annotation Project (GOA UniProt; http://www.ebi.ac.uk/GOA/). Because the annotation method used to assign GO annotations varies by data source, GO resources at SGD have been modified to distinguish data sources and annotation methods. In addition to providing information for genes that have not been experimentally characterized, GO annotations from independent sources can be compared to those made by SGD to help keep the literature-based GO annotations current. Oxford University Press 2008-01 2007-11-03 /pmc/articles/PMC2238894/ /pubmed/17982175 http://dx.doi.org/10.1093/nar/gkm909 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Hong, Eurie L.
Balakrishnan, Rama
Dong, Qing
Christie, Karen R.
Park, Julie
Binkley, Gail
Costanzo, Maria C.
Dwight, Selina S.
Engel, Stacia R.
Fisk, Dianna G.
Hirschman, Jodi E.
Hitz, Benjamin C.
Krieger, Cynthia J.
Livstone, Michael S.
Miyasato, Stuart R.
Nash, Robert S.
Oughtred, Rose
Skrzypek, Marek S.
Weng, Shuai
Wong, Edith D.
Zhu, Kathy K.
Dolinski, Kara
Botstein, David
Cherry, J. Michael
Gene Ontology annotations at SGD: new data sources and annotation methods
title Gene Ontology annotations at SGD: new data sources and annotation methods
title_full Gene Ontology annotations at SGD: new data sources and annotation methods
title_fullStr Gene Ontology annotations at SGD: new data sources and annotation methods
title_full_unstemmed Gene Ontology annotations at SGD: new data sources and annotation methods
title_short Gene Ontology annotations at SGD: new data sources and annotation methods
title_sort gene ontology annotations at sgd: new data sources and annotation methods
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238894/
https://www.ncbi.nlm.nih.gov/pubmed/17982175
http://dx.doi.org/10.1093/nar/gkm909
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