Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3611
Title: Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization
Publisher: BioMed Central
Description: The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2005/6/11/R96
Chromatin immunoprecipitation combined with microarray technology (Chip2) allows genomewide determination of protein-DNA binding sites. The current standard method for analyzing Chip2 data requires additional control experiments that are subject to systematic error. We developed methods to assess significance using variance stabilization, learning error-model parameters without external control experiments. The method was validated experimentally, shows greater sensitivity than the current standard method, and incorporates false-discovery rate analysis. The corresponding software ('Chipper') is freely available. The method described here should help reveal an organism's transcription-regulatory 'wiring diagram'.
F.D.G. and F.P.R. were supported in part by Funds for Discovery provided by John Taplin and by an institutional grant from the HHMI Biomedical Research Support Program for Medical Schools. M.P., F.D.G., and K.S. were supported by NIH/NIGMS grants GM30186, GM53720, and NIH/NHGRI grant HG003147. M.P. was supported by an EMBO Long Term Fellowship and the 'Ramón y Cajal' program of the Spanish Ministry of Science.
Peer reviewed
URI: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3611
Other Identifiers: Genome Biol. 2005; 6(11): R96
1465-6914
http://hdl.handle.net/10261/3611
10.1186/gb-2005-6-11-r96
Appears in Collections:Digital Csic

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