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Titlebook: Computational Biology of Transcription Factor Binding; Istvan Ladunga Book 2010 Springer Science+Business Media, LLC 2010 Annotation.ChIP-

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Regulatory Regions in DNA: Promoters, Enhancers, Silencers, and Insulators,ription: in prokaryotic organisms operators are involved; in eukaryotic organisms, proximal promoter regions, enhancers, silencers, and insulators are present. This chapter will describe the various DNA regions involved in transcription and transcriptional regulation.
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Probabilistic Peak Calling and Controlling False Discovery Rate Estimations in Transcription Factorery in the peak environments. These methods have been implemented in, among others, Valouev et al.’s Quantitative Enrichment of Sequence Tags (QuEST) software tool. We demonstrate the prediction of the human growth-associated binding protein (GABPα) based on ChIP-seq observations.
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Three-Dimensional Structures of DNA-Bound Transcriptional Regulators,cription factors. In this review, our intent is to provide a general overview of the three-dimensional structures of DNA-bound transcriptional regulators starting from the basic principles of specific DNA recognition and ending with high-order multiprotein–DNA complexes.
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,Motif Discovery Using Expectation Maximization and Gibbs’ Sampling,ple times from different initial parameters. Gibbs’ sampling is stochastic so that it may arrive at different solutions from the same initial parameters. In both cases multiple runs are advised because comparisons of the solutions after each run can indicate whether a global, optimum solution is likely to have been achieved.
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Istvan LadungaGuides scientists of all disciplines through the jungle of regulatory regions, ChIP-seq, about 200 motif discovery tools and others.Includes vital tricks-of-the-trade from experts well-versed in the t
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https://doi.org/10.1007/978-1-60761-854-6Annotation; ChIP-seq; Genome browsers; Motif discovery tools; Promoter; Statistics; Transcriptional regula
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978-1-4939-6166-5Springer Science+Business Media, LLC 2010
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