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GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update

RNA interference (RNAi) represents a powerful method to systematically study loss-of-function phenotypes on a large scale with a wide variety of biological assays, constituting a rich source for the assignment of gene function. The GenomeRNAi database (http://www.genomernai.org) makes available RNAi...

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Autores principales: Schmidt, Esther E., Pelz, Oliver, Buhlmann, Svetlana, Kerr, Grainne, Horn, Thomas, Boutros, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531141/
https://www.ncbi.nlm.nih.gov/pubmed/23193271
http://dx.doi.org/10.1093/nar/gks1170
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author Schmidt, Esther E.
Pelz, Oliver
Buhlmann, Svetlana
Kerr, Grainne
Horn, Thomas
Boutros, Michael
author_facet Schmidt, Esther E.
Pelz, Oliver
Buhlmann, Svetlana
Kerr, Grainne
Horn, Thomas
Boutros, Michael
author_sort Schmidt, Esther E.
collection PubMed
description RNA interference (RNAi) represents a powerful method to systematically study loss-of-function phenotypes on a large scale with a wide variety of biological assays, constituting a rich source for the assignment of gene function. The GenomeRNAi database (http://www.genomernai.org) makes available RNAi phenotype data extracted from the literature for human and Drosophila. It also provides RNAi reagent information, along with an assessment as to their efficiency and specificity. This manuscript describes an update of the database previously featured in the NAR Database Issue. The new version has undergone a complete re-design of the user interface, providing an intuitive, flexible framework for additional functionalities. Screen information and gene-reagent-phenotype associations are now available for download. The integration with other resources has been improved by allowing in-links via GenomeRNAi screen IDs, or external gene or reagent identifiers. A distributed annotation system (DAS) server enables the visualization of the phenotypes and reagents in the context of a genome browser. We have added a page listing ‘frequent hitters’, i.e. genes that show a phenotype in many screens, which might guide on-going RNAi studies. Structured annotation guidelines have been established to facilitate consistent curation, and a submission template for direct submission by data producers is available for download.
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spelling pubmed-35311412013-01-03 GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update Schmidt, Esther E. Pelz, Oliver Buhlmann, Svetlana Kerr, Grainne Horn, Thomas Boutros, Michael Nucleic Acids Res Articles RNA interference (RNAi) represents a powerful method to systematically study loss-of-function phenotypes on a large scale with a wide variety of biological assays, constituting a rich source for the assignment of gene function. The GenomeRNAi database (http://www.genomernai.org) makes available RNAi phenotype data extracted from the literature for human and Drosophila. It also provides RNAi reagent information, along with an assessment as to their efficiency and specificity. This manuscript describes an update of the database previously featured in the NAR Database Issue. The new version has undergone a complete re-design of the user interface, providing an intuitive, flexible framework for additional functionalities. Screen information and gene-reagent-phenotype associations are now available for download. The integration with other resources has been improved by allowing in-links via GenomeRNAi screen IDs, or external gene or reagent identifiers. A distributed annotation system (DAS) server enables the visualization of the phenotypes and reagents in the context of a genome browser. We have added a page listing ‘frequent hitters’, i.e. genes that show a phenotype in many screens, which might guide on-going RNAi studies. Structured annotation guidelines have been established to facilitate consistent curation, and a submission template for direct submission by data producers is available for download. Oxford University Press 2013-01 2012-11-26 /pmc/articles/PMC3531141/ /pubmed/23193271 http://dx.doi.org/10.1093/nar/gks1170 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.
spellingShingle Articles
Schmidt, Esther E.
Pelz, Oliver
Buhlmann, Svetlana
Kerr, Grainne
Horn, Thomas
Boutros, Michael
GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update
title GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update
title_full GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update
title_fullStr GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update
title_full_unstemmed GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update
title_short GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update
title_sort genomernai: a database for cell-based and in vivo rnai phenotypes, 2013 update
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531141/
https://www.ncbi.nlm.nih.gov/pubmed/23193271
http://dx.doi.org/10.1093/nar/gks1170
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