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

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Sequence Analysis of Chromatin Immunoprecipitation Data for Transcription Factors,f the sequences of the identified regions allows binding to be localized at a higher resolution than can be achieved by current high-throughput experiments without sequence analysis and may provide important insight into the regulatory programs enacted by the protein of interest. In this chapter we

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,Inferring Protein–DNA Interaction Parameters from SELEX Experiments,f oligonucleotides, of the oligomers with a high binding affinity for a given molecular target. The highest affinity binding sequences isolated through SELEX can have numerous research, diagnostic, and therapeutic applications. Recently, important new modifications of the SELEX protocol have been pr

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毗鄰

Computing Chromosome Conformation,n vivo. 3C studies indicate that genomes are likely organized into dynamic networks of physical contacts between genes and regulatory DNA elements. These interactions are mediated by proteins and are important for the regulation of genes. For these reasons, mapping physical connectivity networks wit

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一夫一妻制

Evolution of ,-Regulatory Sequences in ,,r, we review probabilistic models of evolution of transcription factor binding sites, which provide the theoretical basis for a number of new bioinformatics tools for comparative sequence analysis. We illustrate how important functional and evolutionary insights on binding site gain and loss can be

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