GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update.
GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update.
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DOI:
10.1093/nar/gks1170
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发表时间:
2013-01
影响因子:
14.9
通讯作者:
Boutros M
中科院分区:
文献类型:
--
作者:
Schmidt EE;Pelz O;Buhlmann S;Kerr G;Horn T;Boutros M
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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影响因子:
14.9
作者:
Kozomara A;Griffiths-Jones S
通讯作者:
Griffiths-Jones S
影响因子:
14.9
作者:
Keshava Prasad TS;Goel R;Kandasamy K;Keerthikumar S;Kumar S;Mathivanan S;Telikicherla D;Raju R;Shafreen B;Venugopal A;Balakrishnan L;Marimuthu A;Banerjee S;Somanathan DS;Sebastian A;Rani S;Ray S;Harrys Kishore CJ;Kanth S;Ahmed M;Kashyap MK;Mohmood R;Ramachandra YL;Krishna V;Rahiman BA;Mohan S;Ranganathan P;Ramabadran S;Chaerkady R;Pandey A
通讯作者:
Pandey A
影响因子:
14.9
作者:
Wilming, L. G.;Gilbert, J. G. R.;Harrow, J. L.
通讯作者:
Harrow, J. L.
影响因子:
3.9
作者:
Amberger, Joanna;Bocchini, Carol;Hamosh, Ada
通讯作者:
Hamosh, Ada
影响因子:
14.9
作者:
Gilsdorf, Moritz;Horn, Thomas;Boutros, Michael
通讯作者:
Boutros, Michael