Detalle de: FUN-L: gene prioritization for RNAi screens
| Title | FUN-L: gene prioritization for RNAi screens |
| Abstract |
Motivation: Most biological processes remain only partially characterized with many components still to be identified. Given that a whole genome can usually not be tested in a functional assay, identifying the genes most likely to be of interest is of critical importance to avoid wasting resources. Results: Given a set of known functionally related genes and using a state-of-the-art approach to data integration and mining, our Functional Lists (FUN-L) method provides a ranked list of candidate genes for testing. Validation of predictions from FUN-L with independent RNAi screens confirms that FUN-L-produced lists are enriched in genes with the expected phenotypes. In this article, we describe a website front end to FUN-L. Availability and implementation: The website is freely available to use at http://funl.org Contact: ucbcjle@live.ucl.ac.uk |
| Apa Reference | Lees, J.G., Hériché, J., Morilla, I., Fernández, J.M., Adler, P., Krallinger, M., Vilo, J., Valencia, A., Ellenberg, J., Ranea, J.A. & Orengo, C. (2015). FUN-L: gene prioritization for RNAi screens. Bioinformatics, 31(12), 2052-2053. 10.1093/bioinformatics/btv073 |
| Doi | 10.1093/bioinformatics/btv073 |
| Publication Date | 8 Feb 2015 |
| Publication Type | Article |
| Researcher | Ian Morilla |
| Ontology | Resources |
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