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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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X-Ray and Neutron InstrumentationHence, we developed Jstacs, an object-oriented Java framework for sequence analysis, which allows the user to combine different statistical models and different learning principles in a modular manner with little effort. In this chapter we explain how Jstacs can be used for the recognition of transcription factor binding sites.
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L. A. Feigin,D. I. Svergun,George W. Tayloror binding specificity, which allows accurate predictions of binding sites for any transcription factor of interest. In this chapter we discuss how to accurately determine protein–DNA interaction parameters from SELEX experiments. The chapter addresses experimental and computational procedure needed to generate and analyze appropriate data.
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Index of symbols and abbreviations,inding sites to a more holistic study of regulatory evolution. We point out common technical challenges, such as reliable sequence alignment and binding site prediction, when doing comparative regulatory sequence analysis and note some potential solutions thereof.
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Components and Mechanisms of Regulation of Gene Expression, players participating in these processes, the transcription factors and co-regulators, the .-regulatory elements that often function as transcription factor docking sites, and the emerging role of small RNAs in the regulation of gene expression.
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The Motif Tool Assessment Platform (MTAP) for Sequence-Based Transcription Factor Binding Site Predr families. This chapter introduces the TFBS detection problem and reviews current strategies for evaluating algorithm effectiveness. In this chapter, a novel and robust assessment tool, the Motif Tool Assessment Platform (MTAP), is introduced and discussed.
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