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


ABSTRACT: 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.

SUBMITTER: Sims D 

PROVIDER: S-EPMC1347401 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature

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

Sims David D   Bursteinas Borisas B   Gao Qiong Q   Zvelebil Marketa M   Baum Buzz B  

Nucleic acids research 20060101 Database issue


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 simplif  ...[more]

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