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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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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. |
format | Online Article Text |
id | pubmed-3531141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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