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Nucleic Acids Research 2006 34(Database Issue):D479-D483; doi:10.1093/nar/gkj038
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Nucleic Acids Research, 2006, Vol. 34, Database issue D479-D483
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

FLIGHT: database and tools for the integration and cross-correlation of large-scale RNAi phenotypic datasets

David Sims1,2, Borisas Bursteinas2, Qiong Gao2, Marketa Zvelebil2 and Buzz Baum1,*

1Morphogenesis Group, Ludwig Institute for Cancer Research UCL Branch, Courtauld Building, 91 Riding House Street, London, W1W 7BS, UK 2Bioinformatics and Systems Biology Group, Ludwig Institute for Cancer Research UCL Branch, Courtauld Building, 91 Riding House Street, London, W1W 7BS, UK

*To whom correspondence should be addressed. Tel: +44 207 878 4044; Fax: +44 207 878 4040; Email: b.baum{at}ucl.ac.uk

Received August 15, 2005. Revised September 29, 2005. Accepted September 29, 2005.

FLIGHT (www.flight.licr.org) is a new database designed to help researchers browse and cross-correlate data from large-scale RNAi studies. To date, the majority of these functional genomic screens have been carried out using Drosophila cell lines. These RNAi screens follow 100 years of classical Drosophila genetics, but have already revealed their potential by ascribing an impressive number of functions to known and novel genes. This has in turn given rise to a pressing need for tools to simplify the analysis of the large amount of phenotypic information generated. FLIGHT aims to do this by providing users with a gene-centric view of screen results and by making it possible to cluster phenotypic data to identify genes with related functions. Additionally, FLIGHT provides microarray expression data for many of the Drosophila cell lines commonly used in RNAi screens. This, together with information about cell lines, protocols and dsRNA primer sequences, is intended to help researchers design their own cell-based screens. Finally, although the current focus of FLIGHT is Drosophila, the database has been designed to facilitate the comparison of functional data across species and to help researchers working with other systems navigate their way through the fly genome.


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