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Titlebook: Information Processing in Cells and Tissues; 9th International Co Michael A. Lones,Stephen L. Smith,Martin A. Trefze Conference proceedings

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Jacques Colinge,Uwe Rix,Keiryn L. Bennett,Giulio Superti-Furga
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Antje Beyer,Ralf Eberhard,Nir Piterman,Michael O. Hengartner,Alex Hajnal,Jasmin Fisher
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Using Artificial Epigenetic Regulatory Networks to Control Complex Tasks within Chaotic Systemsr inception they have been used to infer knowledge about gene regulation and as methods of computation. These computational models have been shown to possess properties typically found in the biological world such as robustness and self organisation. Recently, it has become apparent that epigenetic
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A Gene Regulatory Network Simulation of Heterosisfspring of crosses from separate populations often perform better than inbreds with respect to growth rate, fertility and disease resistance. Because of its great economic importance, the genetic and molecular basis of heterosis has been subject of many scientific studies. However, attempts to model
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Automatic Inference of Regulatory and Dynamical Properties from Incomplete Gene Interaction and Exprontrol cellular processes. Since available data are predominantly qualitative or semi-quantitative, discrete (logical) modeling approaches are increasingly used to model these networks. Here, relying on the multilevel logical formalism developed by R. Thomas .. [7,9,8], we propose a computational ap
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CRISPR Transcript Processing: An Unusual Mechanism for Rapid Production of Desired Moleculesich is followed by processing of the resulting long transcript (pre-crRNA) into small RNA molecules (crRNA) that recognize invading viruses. We model CRISPR transcript processing, and show that the system functions as a strong amplifier, which can rapidly generate a large number of crRNAs from only
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A Comprehensive Computational Model to Simulate Transcription Factor Binding in Prokaryotesbe both sequence- and conformation-specific. However, also non-specific binding with lower affinity can be observed [3]. The number of specific target sites is significantly smaller compared to the number of non-specific sites and, consequently, TF molecules bind, in a first instance, non-specifical
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