Titlebook: Regulatory Genomics; RECOMB 2004 Internat Eleazar Eskin,Christopher Workman Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 2

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推延

Using Expression Data to Discover RNA and DNA Regulatory Sequence Motifs,ion between them. Our approach discovers . (potentially degenerate) phrases that are statistically significant with respect to their distribution in a ranked list of sequences under either a non-parametric model or a Student t based model. In order to allow the identification of phrases consisting o

configuration

adhesive

barium-study

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overwrought

Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response,hypothesis that in simple organisms such as ., we can learn a decision rule for predicting whether a gene is up- or down-regulated in a particular experiment based on (1) the presence of binding site subsequences (“motifs”) in the gene’s regulatory region and (2) the expression levels of regulators

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Fishing for Proteins in the Pacific Northwest,studies, it has the potential of providing valuable guidance for experimental biologists. We use the novel IL28A,B and IL29 cytokine family to illustrate an approach to the computational identification and characterization of putative transcriptional regulatory regions that utilizes a combination of

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PhyloGibbs: A Gibbs Sampler Incorporating Phylogenetic Information,sely related species. Since much conservation here arises not from the existence of functional sites but simply from the lack of sufficient evolutionary divergence between the species, a conventional Gibbs sampler will fail. We compare the effectiveness against conventional methods on closely-relate