Information Processing and Biological Systems

Living beings are required to process information constantly just to survive, yet how this is achieved and how information is coded is still poorly understood. This book maps the current state of our knowledge in this field, from gene regulation to language.

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. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.

Well structured collection of Information Processing and Biological Systems Overview on the state-of-art on how information processing relates to biological systems organized in a handbook style Written by leading experts in this field

Contenu

Biological Information and Natural Selection.- Swarm-based Simulations for Immunobiology.- Biological Limits of Hand Preference Learning Hiding Behind the Genes.- Stochastic Gene Expression and the Processing and Propagation of Noisy Signals in Genetic Networks.- Boolean Threshold Networks: Virtues and Limitations for Biological Modeling.- Structure-dynamics relationships in biological networks.- Large-scale statistical inference of gene regulatory networks: Local network-based measures.- Information Propagation in the Long-Term Behavior of Gene Regulatory Networks.- Natural Language and Biological Information Processing.