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In the spring of 2011, a diverse group of scientists gathered at Cornell University to discuss their research into the nature and origin of biological information. This symposium brought together experts in information theory, computer science, numerical simulation, thermodynamics, evolutionary theory, whole organism biology, developmental biology, molecular biology, genetics, physics, biophysics, mathematics, and linguistics. This volume presents new research by those invited to speak at the conference. The contributors to this volume use their wide-ranging expertise in the area of biological information to bring fresh insights into the explanatory difficulties that biological information raises. Going beyond the conventional scientific wisdom, which attempts to explain biological information reductionistically via chemical, genetic, and natural selective determinants, the work represented here develops novel non-reductionist approaches to biological information, looking notably to telic and self-organizational processes. Several clear themes emerged from these research papers: 1) Information is indispensable to our understanding of what life is. 2) Biological information is more than the material structures that embody it. 3) Conventional chemical and evolutionary mechanisms seem insufficient to fully explain the labyrinth of information that is life. By exploring new perspectives on biological information, this volume seeks to expand, encourage, and enrich research on the nature and origin of biological information.
In the spring of 2011, a diverse group of scientists gathered at Cornell University to discuss their research into the nature and origin of biological information. This symposium brought together experts in information theory, computer science, numerical simulation, thermodynamics, evolutionary theory, whole organism biology, developmental biology, molecular biology, genetics, physics, biophysics, mathematics, and linguistics. This volume presents new research by those invited to speak at the conference. The contributors to this volume use their wide-ranging expertise in the area of biological information to bring fresh insights into the many explanatory difficulties associated with biological information. These authors raise major challenges to the conventional scientific wisdom, which attempts to explain all biological information exclusively in terms of the standard mutation/selection paradigm. Several clear themes emerged from these research papers: 1) Information is indispensable to our understanding of what life is; 2) Biological information is more than the material structures that embody it; 3) Conventional chemical and evolutionary mechanisms seem insufficient to fully explain the labyrinth of information that is life. By exploring new perspectives on biological information, this volume seeks to expand, encourage, and enrich research into the nature and origin of biological information.
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.
Highlighted with individual contributions from eminent specialists, these multiauthored volumes combine authority, inspiration and state-of-the-art knowledge. Both informative and inspiring they are designed to appeal to scientists and interested laypeople alike. Volume 2 complements and extends the scope of the first, with the biological viewpoint being stressed. Following an introductory chapter on design as understood in biology, the various aspects of the biological information revolution are addressed. Areas discussed include molecular structure, the genome, development, and neural networks. A section on information theory provides a link with engineering, and the scope is also broadened to include the implications of motion in nature and engineering.
This book is a self-contained, tutorial-based introduction to quantum information theory and quantum biology. It serves as a single-source reference to the topic for researchers in bioengineering, communications engineering, electrical engineering, applied mathematics, biology, computer science, and physics. The book provides all the essential principles of the quantum biological information theory required to describe the quantum information transfer from DNA to proteins, the sources of genetic noise and genetic errors as well as their effects. Integrates quantum information and quantum biology concepts; Assumes only knowledge of basic concepts of vector algebra at undergraduate level; Provides a thorough introduction to basic concepts of quantum information processing, quantum information theory, and quantum biology; Includes in-depth discussion of the quantum biological channel modelling, quantum biological channel capacity calculation, quantum models of aging, quantum models of evolution, quantum models on tumor and cancer development, quantum modeling of bird navigation compass, quantum aspects of photosynthesis, quantum biological error correction.
Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional. In all cases, there is constant communication and information flow at many levels.This book focuses on information processing by life forms and the use of information technology in understanding them. Readers are first given a comprehensive overview of biocomputing before navigating the complex terrain of natural processing of biological information using physiological and analogous computing models. The remainder of the book deals with “artificial” processing of biological information as a human endeavor in order to derive new knowledge and gain insight into life forms and their functioning. Specific innovative applications and tools for biological discovery are provided as the link and complement to biocomputing.Since “artificial” processing of biological information is complementary to natural processing, a better understanding of the former helps us improve the latter. Consequently, readers are exposed to both domains and, when dealing with biological problems of their interest, will be better equipped to grasp relevant ideas.
This novel, interdisciplinary text presents biological understanding in terms of general underlying principles, treating energy as the overarching theme and emphasizing the all-pervading influence of energy transformation in every process, both living and non-living. Key processes and concepts are explained in turn, culminating in a description of the overall functioning and regulation of a living cell. The book rounds off the story of life with a brief account of the endosymbiotic origins of eukaryotic cells, the development of multicellularity, and the emergence of modern plants and animals. Multidisciplinary research in science is becoming commonplace. However, as traditional boundaries start to break down, researchers are increasingly aware of the deficiencies in their knowledge of related disciplines. Introducing Biological Energetics redresses the reciprocal imbalance in the knowledge levels of physical and biological scientists in particular. Its style of presentation and depth of treatment has been carefully designed to unite these two readerships.
A Top 25 CHOICE 2016 Title, and recipient of the CHOICE Outstanding Academic Title (OAT) Award. How much energy is released in ATP hydrolysis? How many mRNAs are in a cell? How genetically similar are two random people? What is faster, transcription or translation?Cell Biology by the Numbers explores these questions and dozens of others provid
The relationship between law and chance in the early evolution of life is the guidingtheme of this provocative study. The author explores modern ideas about the origin of life from thestandpoint of philosophy of science, emphasizing the contribution made by information theory.Küppersasserts that all life phenomena are steered by information and that this information is alreadydefined materially in a universal form at the level of the biological macromolecule. The question ofthe origin of life turns out to be the question of the origin of biological informationInformationand the Origin of Life takes up the fundamental problems of whether and, if so, to what extent theorigin of semantic information during evolution can be explained as a general phenomenon within theframework of physics and chemistry. The results could have far-reaching consequences for such fieldsas the philosophy of mind and artificial intelligence.Bernd-Olaf Küppers has long focused hisattention on basic questions of natural science and the philosophy of science at the borders ofphysics, chemistry, and biology. He has been engaged since 1971 in research at the Max PlanckInstitute for Biophysical Chemistry, and from 1979 to 1984 he held lecture courses in philosophy atthe University of Göttingen