Biological Evolution and Statistical Physics PDF Download
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Author: M. Lassig
Publisher:
ISBN: 9783662143698
Category :
Languages : en
Pages : 356
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Book Description
Author: M. Lassig
Publisher:
ISBN: 9783662143698
Category :
Languages : en
Pages : 356
Get Book
Book Description
Author: M. Lässig
Publisher: Springer
ISBN: 9783642077432
Category : Science
Languages : en
Pages : 342
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Book Description
People have always asked what distinguishes the living from the inanimate world and what uni?es the two. The ?elds of biology and physics have a long history of exchange. Milestones at the molecular level were the discoveries of the structure ofDNA,RNA,andproteins. It is not by coincidence that this exchange has intensi?ed in recent years. Laboratory experiments reach down to the level of single molecules. Moreover, thereisnowavastamountofgenomicinformation,whichisstillgrowingex- nentially due to the various sequencing projects. Biologists increasingly feel the need for theoretical models to interpret these data in a quantitative way. At the sametime,theoreticalphysicshasmadesigni?cantprogressinareaslikelyto be relevant for the understanding of biological systems. Some important ex- plesarecooperativephenomena,statisticsfarfromthermodynamicequilibrium, systemswithquencheddisorder,andsoftmatter. Some forms of biological matter have indeed become established areas of - searchwithinphysics,suchasbiomembranes,heteropolymers,molecularmotors, microtubules,neuralsystemsetc.Thisvolumeisfocusedonadi?erentaspect of the living world that can be calledbiologicalinformation,itscoding,rep- duction,andevolution.Biologicalinformationistranslatedintostructuresand patternsoveranenormousrangeofscales,fromsinglebiomoleculestospecies networks coupled over entire continents. Thestatisticaltheory of biological information lives not only in three-dim- sional space. It involves various abstract spaces in which this information is encodedandevolves,suchasnucleotidesequences,genenetworks,ortopologies of the ‘tree of life’. The articles collected highlight a few directions of research that may become important parts of this emerging ?eld. The ?rst part of the book,MolecularInformationandEvolution,startswith twoarticlesonsequencesimilarityanalysis,acentralthemeinbioinformatics which has surprisingly deep connections to statistical physics. The genetic code, RNA,andproteinsarethreeexamplesoftheintricateinterplayofsequence, structure,andfunctioninevolution.
Author: Barbara Drossel
Publisher:
ISBN:
Category :
Languages : en
Pages : 87
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Book Description
Author: Sunny Y. Auyang
Publisher: Cambridge University Press
ISBN: 9780521778268
Category : Business & Economics
Languages : en
Pages : 422
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Book Description
Analyzes approaches to the study of complexity in the physical, biological, and social sciences.
Author: M. Lässig
Publisher: Springer
ISBN: 3540456929
Category : Science
Languages : en
Pages : 342
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Book Description
This set of lecture notes gives a first coherent account of a novel aspect of the living world that can be called biological information. The book presents both a pedagogical and state-of-the art roadmap of this rapidly evolving area and covers the whole field, from information which is encoded in the molecular genetic code to the description of large-scale evolution of complex species networks. The book will prove useful for all those who work at the interface of biology, physics and information science.
Author: Robert U. Ayres
Publisher: Springer Science & Business Media
ISBN: 9780883189115
Category : Science
Languages : en
Pages : 324
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Book Description
Market: Those in economics, especially thermodynamics, statistical mechanics, cybernetics, information theory, resource use, and evolutionary economic behavior. This book presents an innovative and challenging look at evolution on several scales, from the earth and its geology and chemistry to living organisms to social and economic systems. Applying the principles of thermodynamics and the concepts of information gathering and self- organization, the author characterizes the direction of evolution in each case as an accumulation of "distinguishability" information--a type of universal knowledge.
Author: Paulo Murilo C. de Oliveira
Publisher: Springer Science & Business Media
ISBN: 3322910091
Category : Technology & Engineering
Languages : en
Pages : 156
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Book Description
This book for physicists, biologists, computer scientists, economists or social scientists shows in selected examples how computer simulation methods which are typical to statistical physics have been applied in other areas outside of physics. Our main part deals with the biology of ageing, while other examples are the functioning of the immune system, the structure of DNA, the fluctuations on the stock market, theories for sociology and for World War II. Are leaky water faucets similar to our heartbeats? Throughout the book we emphasize microscopic models dealing with the action of individuals, whether they are cells of the immune system or traders speculating on the currency market. Complete computer programs are given and explained for biological ageing. The references try to introduce the expert from the covered other fields to the relevant physics literature; and they also show the physicists the way into the biological literature on ageing.
Author: Eric Bertin
Publisher:
ISBN: 9783030799502
Category :
Languages : en
Pages : 0
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Book Description
This third edition of Statistical Physics of Complex Systems has been expanded to provide more examples of applications of concepts and methods from statistical physics to the modeling of complex systems. These include avalanche dynamics in materials, models of social agents like road traffic or wealth repartition, the real space aspects of biological evolution dynamics, propagation phenomena on complex networks, formal neural networks and their connection to constraint satisfaction problems. This course-tested textbook provides graduate students and non-specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of complex system sciences, including selected aspects of theoretical modeling in biology and the social sciences. It covers topics such as non-conserved particles, evolutionary population dynamics, networks, properties of both individual and coupled simple dynamical systems, and convergence theorems, as well as short appendices that offer helpful hints on how to perform simple stochastic simulations in practice. The original spirit of the book is to remain accessible to a broad, non-specialized readership. The format is a set of concise, modular, and self-contained topical chapters, avoiding technicalities and jargon as much as possible, and complemented by a wealth of worked-out examples, so as to make this work useful as a self-study text or as textbook for short courses.
Author: John Avery
Publisher: World Scientific
ISBN: 9789812384003
Category : Science
Languages : en
Pages : 236
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Book Description
This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution (and also human cultural evolution), against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. This paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources, as the author shows. The role of information in human cultural evolution is another focus of the book. One of the final chapters discusses the merging of information technology and biotechnology into a new discipline ? bio-information technology.
Author: Ralf Blossey
Publisher: CRC Press
ISBN: 0429994613
Category : Computers
Languages : en
Pages : 285
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Book Description
Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics. This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics. Material has been reorganized to clarify equilbrium and nonequilibrium aspects of biomolecular systems Content has been expanded, in particular in the treatment of the electrostatic interactions of biomolecules and the application of non-equilibrium statistical mechanics to biomolecules New network-based approaches for the study of proteins are presented. All treated topics are put firmly in the context of the current research literature, allowing the reader to easily follow an individual path into a specific research field. Exercises and Tasks accompany the presentations of the topics with the intention of enabling the readers to test their comprehension of the developed basic concepts.
