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http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3611Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Gibbons, Francis D. | - |
| dc.creator | Proft, Markus | - |
| dc.creator | Struhl, Kevin | - |
| dc.creator | Roth, Frederick P. | - |
| dc.date | 2008-04-16T09:24:15Z | - |
| dc.date | 2008-04-16T09:24:15Z | - |
| dc.date | 2005-11-01 | - |
| dc.date.accessioned | 2017-01-31T01:02:26Z | - |
| dc.date.available | 2017-01-31T01:02:26Z | - |
| dc.identifier | Genome Biol. 2005; 6(11): R96 | - |
| dc.identifier | 1465-6914 | - |
| dc.identifier | http://hdl.handle.net/10261/3611 | - |
| dc.identifier | 10.1186/gb-2005-6-11-r96 | - |
| dc.identifier.uri | http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3611 | - |
| dc.description | The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2005/6/11/R96 | - |
| dc.description | 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'. | - |
| dc.description | 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. | - |
| dc.description | Peer reviewed | - |
| dc.format | 68043 bytes | - |
| dc.format | 11531 bytes | - |
| dc.format | 366410 bytes | - |
| dc.format | 263828 bytes | - |
| dc.format | 63353 bytes | - |
| dc.format | 51617 bytes | - |
| dc.format | 3119 bytes | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.format | text/plain | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.format | text/plain | - |
| dc.language | eng | - |
| dc.publisher | BioMed Central | - |
| dc.relation | Publisher’s version | - |
| dc.rights | openAccess | - |
| dc.title | Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization | - |
| dc.type | Artículo | - |
| Appears in Collections: | Digital Csic | |
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