Titlebook: Information Processing and Biological Systems; Samuli Niiranen,Andre Ribeiro Book 2011 Springer-Verlag Berlin Heidelberg 2011 Biological N

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1868-4394 es to biological systems organized in a handbook style.Writt.Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment.

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Introduction,ous levels of detail, such as within gene regulatory networks, within chemical pathways in cells, between cells in a tissue, and between organisms of a population, how this occurs and how information is processed in living systems is still poorly understood. For example, it is not yet entirely under

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Biological Information and Natural Selection,ne, or are there two kinds of complexity in nature, only one of which involves the transmission of ’information’? An account of biological information as a set of simplifying conventions used to coordinate the division of labor within cells is offered, and the question of why natural selection might

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Swarm-Based Simulations for Immunobiology,orchestrated over multiple scales of time and space: the immune system. We consider the human body and its environment as a well-orchestrated system of interacting swarms: swarms of cells, swarms of messenger molecules, swarms of bacteria, and swarms of viruses. Utilizing swarm intelligence techniqu

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Stochastic Gene Expression and the Processing and Propagation of Noisy Signals in Genetic Networks, networks are one example where molecular-level fluctuations are of particular importance. Here stochasticity in the expression of gene products can result in genetically identical cells displaying significant variation in biochemical or physical attributes. This variation can influence individual a

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Boolean Threshold Networks: Virtues and Limitations for Biological Modeling,y applied to describe the cell cycles of . and .. Threshold networks assume that gene regulation processes are additive. This, however, contrasts with the mechanism proposed by S. Kauffman in which each of the logic functions must be carefully constructed to accurately take into account the combinat

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Structure-Dynamics Relationships in Biological Networks,n a variable environment and to process information for mounting diverse, yet specific responses. Such emergent macroscopic behaviors are governed by complex systems of interactions. Understanding how the structure of such interactions determines global dynamics is a major challenge in complex syste