Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization Export

@article{citeulike:2247309, abstract = {Chromatin immunoprecipitation combined with microarray technology (Chip2) allows genome-wide 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'.}, author = {Gibbons, Francis and Proft, Markus and Struhl, Kevin and Roth, Frederick}, citeulike-article-id = {2247309}, citeulike-linkout-0 = {http://dx.doi.org/10.1186/gb-2005-6-11-r96}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/16277751}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=16277751}, doi = {10.1186/gb-2005-6-11-r96}, issn = {1465-6906}, journal = {Genome Biology}, number = {11}, pages = {R96+}, posted-at = {2009-10-03 03:54:58}, priority = {2}, title = {Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization}, url = {http://dx.doi.org/10.1186/gb-2005-6-11-r96}, volume = {6}, year = {2005} }

TY - JOUR ID - citeulike:2247309 L3 - citeulike-article-id:2247309 N2 - Chromatin immunoprecipitation combined with microarray technology (Chip2) allows genome-wide 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'. IS - 11 JF - Genome Biology SN - 1465-6906 TI - Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization VL - 6 SP - R96 AU - Gibbons, Francis AU - Proft, Markus AU - Struhl, Kevin AU - Roth, Frederick PY - 2005/// UR - http://dx.doi.org/10.1186/gb-2005-6-11-r96 ER -