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Systems Evolutionary Biology
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Book Synopsis Evolutionary Systems Biology by : Orkun S. Soyer
Download or read book Evolutionary Systems Biology written by Orkun S. Soyer and published by Springer Science & Business Media. This book was released on 2012-07-23 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to introduce the reader to the emerging field of Evolutionary Systems Biology, which approaches classical systems biology questions within an evolutionary framework. An evolutionary approach might allow understanding the significance of observed diversity, uncover “evolutionary design principles” and extend predictions made in model organisms to others. In addition, evolutionary systems biology can generate new insights into the adaptive landscape by combining molecular systems biology models and evolutionary simulations. This insight can enable the development of more detailed mechanistic evolutionary hypotheses.
Book Synopsis Evolutionary Systems Biology by : Anton Crombach
Download or read book Evolutionary Systems Biology written by Anton Crombach and published by Springer Nature. This book was released on 2021-08-05 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition captures the advances made in the field of evolutionary systems biology since the publication of the first edition. The first edition focused on laying the foundations of evolutionary systems biology as an interdisciplinary field, where a way of thinking and asking questions is combined with a wide variety of tools, both experimental and theoretical/computational. Since publication of the first edition, evolutionary systems biology is now a well-known term describing this growing field. The new edition provides an overview of the current status and future developments of this interdisciplinary field. Chapters highlight several key achievements from the last decade and outline exciting new developments, including an understanding of the interplay between complexity and predictability in evolutionary systems, new viewpoints and methods to study organisms in evolving populations at the level of the genome, gene regulatory network, and metabolic network, and better analysis and modeling techniques that will open new avenues of scientific inquiry.
Book Synopsis Evolutionary Genomics and Systems Biology by : Gustavo Caetano-Anollés
Download or read book Evolutionary Genomics and Systems Biology written by Gustavo Caetano-Anollés and published by Wiley-Blackwell. This book was released on 2010-07-08 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, authoritative look at an emergent area in post-genomic science, Evolutionary genomics is an up-and-coming, complex field that attempts to explain the biocomplexity of the living world. Evolutionary Genomics and Systems Biology is the first full-length book to blend established and emerging concepts in bioinformatics, evolution, genomics, and structural biology, with the integrative views of network and systems biology. Three key aspects of evolutionary genomics and systems biology are covered in clear detail: the study of genomic history, i.e., understanding organismal evolution at the genomic level; the study of macromolecular complements, which encompasses the evolution of the protein and RNA machinery that propels life; and the evolutionary and dynamic study of wiring diagrams—macromolecular components in interaction—in the context of genomic complements. The book also features: A solid, comprehensive treatment of phylogenomics, the evolution of genomes, and the evolution of biological networks, within the framework of systems biology A special section on RNA biology—translation, evolution of structure, and micro RNA and regulation of gene expression Chapters on the mapping of genotypes to phenotypes, the role of information in biology, protein architecture and biological function, chromosomal rearrangements, and biological networks and disease Contributions by leading authorities on each topic Evolutionary Genomics and Systems Biology is an ideal book for students and professionals in genomics, bioinformatics, evolution, structural biology, complexity, origins of life, systematic biology, and organismal diversity, as well as those individuals interested in aspects of biological sciences as they interface with chemistry, physics, and computer science and engineering.
Book Synopsis Encyclopedia of Evolutionary Biology by :
Download or read book Encyclopedia of Evolutionary Biology written by and published by Academic Press. This book was released on 2016-04-14 with total page 2138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Evolutionary Biology, Four Volume Set is the definitive go-to reference in the field of evolutionary biology. It provides a fully comprehensive review of the field in an easy to search structure. Under the collective leadership of fifteen distinguished section editors, it is comprised of articles written by leading experts in the field, providing a full review of the current status of each topic. The articles are up-to-date and fully illustrated with in-text references that allow readers to easily access primary literature. While all entries are authoritative and valuable to those with advanced understanding of evolutionary biology, they are also intended to be accessible to both advanced undergraduate and graduate students. Broad topics include the history of evolutionary biology, population genetics, quantitative genetics; speciation, life history evolution, evolution of sex and mating systems, evolutionary biogeography, evolutionary developmental biology, molecular and genome evolution, coevolution, phylogenetic methods, microbial evolution, diversification of plants and fungi, diversification of animals, and applied evolution. Presents fully comprehensive content, allowing easy access to fundamental information and links to primary research Contains concise articles by leading experts in the field that ensures current coverage of each topic Provides ancillary learning tools like tables, illustrations, and multimedia features to assist with the comprehension process
Book Synopsis The Character Concept in Evolutionary Biology by : Günter P. Wagner
Download or read book The Character Concept in Evolutionary Biology written by Günter P. Wagner and published by Elsevier. This book was released on 2000-10-31 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Almost all evolutionary biologists, indeed all biologists, use particular features to study life. These characteristics or features used by evolutionary biologists are used in a particular way to unravel a tangled evolutionary history, document the rate of evolutionary change, or as evidence of biodiversity. "Characters" are the "data" of evolutionary biology and they can be employed differently in research providing both opportunities and limitations. The Character Concept in Evolutionary Biology is about characters, their use, how different sorts of characters are limited, and what are appropriate methods for character analysis. Leading evolutionary biologists from around the world are contributors to this authoritative review of the "character concept." Because characters and the conception of characters are central to all studies of evolution, and because evolution is the central organizing principle of biology, this book will appeal to a wide cross-section of biologists. - Focuses upon "characters" -- fundamental data for evolutionary biology - Covers the myriad ways in which characters are defined, described, and distinguished - Includes historical, morphological, molecular, behavioral, and philosophical perspectives
Book Synopsis Biology's First Law by : Daniel W. McShea
Download or read book Biology's First Law written by Daniel W. McShea and published by University of Chicago Press. This book was released on 2010-07-15 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Life on earth is characterized by three striking phenomena that demand explanation: adaptation—the marvelous fit between organism and environment; diversity—the great variety of organisms; and complexity—the enormous intricacy of their internal structure. Natural selection explains adaptation. But what explains diversity and complexity? Daniel W. McShea and Robert N. Brandon argue that there exists in evolution a spontaneous tendency toward increased diversity and complexity, one that acts whether natural selection is present or not. They call this tendency a biological law—the Zero-Force Evolutionary Law, or ZFEL. This law unifies the principles and data of biology under a single framework and invites a reconceptualization of the field of the same sort that Newton’s First Law brought to physics. Biology’s First Law shows how the ZFEL can be applied to the study of diversity and complexity and examines its wider implications for biology. Intended for evolutionary biologists, paleontologists, and other scientists studying complex systems, and written in a concise and engaging format that speaks to students and interdisciplinary practitioners alike, this book will also find an appreciative audience in the philosophy of science.
Book Synopsis Inheritance Systems and the Extended Evolutionary Synthesis by : Eva Jablonka
Download or read book Inheritance Systems and the Extended Evolutionary Synthesis written by Eva Jablonka and published by Cambridge University Press. This book was released on 2020-06-04 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current knowledge of the genetic, epigenetic, behavioural and symbolic systems of inheritance requires a revision and extension of the mid-twentieth-century, gene-based, 'Modern Synthesis' version of Darwinian evolutionary theory. We present the case for this by first outlining the history that led to the neo-Darwinian view of evolution. In the second section we describe and compare different types of inheritance, and in the third discuss the implications of a broad view of heredity for various aspects of evolutionary theory. We end with an examination of the philosophical and conceptual ramifications of evolutionary thinking that incorporates multiple inheritance systems.
Book Synopsis Foundations of Complex-system Theories by : Sunny Y. Auyang
Download or read book Foundations of Complex-system Theories written by Sunny Y. Auyang and published by Cambridge University Press. This book was released on 1998 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzes approaches to the study of complexity in the physical, biological, and social sciences.
Book Synopsis Cycles of Contingency by : Susan Oyama
Download or read book Cycles of Contingency written by Susan Oyama and published by MIT Press. This book was released on 2003-01-24 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nature/nurture debate is not dead. Dichotomous views of development still underlie many fundamental debates in the biological and social sciences. Developmental systems theory (DST) offers a new conceptual framework with which to resolve such debates. DST views ontogeny as contingent cycles of interaction among a varied set of developmental resources, no one of which controls the process. These factors include DNA, cellular and organismic structure, and social and ecological interactions. DST has excited interest from a wide range of researchers, from molecular biologists to anthropologists, because of its ability to integrate evolutionary theory and other disciplines without falling into traditional oppositions.The book provides historical background to DST, recent theoretical findings on the mechanisms of heredity, applications of the DST framework to behavioral development, implications of DST for the philosophy of biology, and critical reactions to DST.
Book Synopsis Systems Evolutionary Biology by : Bor-Sen Chen
Download or read book Systems Evolutionary Biology written by Bor-Sen Chen and published by Academic Press. This book was released on 2018-02-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks under random genetic variations and environmental disturbances and their application to systematic synthetic biology design. The book provides more realistic stochastic biological system models to mimic the real biological systems in evolutionary process and then introduces network evolvability, stochastic evolutionary game theory and strategy based on nonlinear stochastic networks in evolution. Readers will find remarkable, revolutionary information on genetic evolutionary biology that be applied to economics, engineering and bioscience. - Explains network fitness, network evolvability and network robustness of biological networks from the systematic perspective - Discusses the evolutionary noncooperative and cooperative game strategies of biological networks - Offers detailed diagrams to help readers understand biological networks, their systematic behaviors and the simulational results of evolutionary biological networks - Includes examples in every chapter with computational simulation to illustrate the solution procedure of evolutionary theory, strategy and results
Book Synopsis Creative Evolutionary Systems by : David W. Corne
Download or read book Creative Evolutionary Systems written by David W. Corne and published by Elsevier. This book was released on 2001-07-25 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today. Evolutionary computation is a way of solving problems, or generating designs, using mechanisms derived from natural evolution. This book concentrates on applying important ideas in evolutionary computation to creative areas, such as art, music, architecture, and design. It shows how human interaction, new representations, and approaches such as open-ended evolution can extend the capabilities of evolutionary computation from optimization of existing solutions to innovation and the generation of entirely new and original solutions. This book takes a fresh look at creativity, exploring what it is and how the actions of evolution can resemble it. Examples of novel evolved solutions are presented in a variety of creative disciplines. The editors have compiled contributions by leading researchers in each discipline. If you are a savvy and curious computing professional, a computer-literate artist, musician or designer, or a specialist in evolutionary computation and its applications, you will find this a fascinating survey of the most interesting work being done in the area today.* Explores the use of evolutionary computation to generate novel creations including contemporary melodies, photo-realistic faces, jazz music in collaboration with a human composer, architectural designs, working electronic circuits, novel aircraft maneuvers, two- and three-dimensional art, and original proteins.* Presents resulting designs in black-and-white and color illustrations.* Includes a twin-format audio/CD-ROM with evolved music and hands-on activities for the reader, including evolved images, animations, and source-code related to the text.* Describes in full the methods used so that readers with sufficient skill and interest can replicate the work and extend it.* Is written for a general computer science audience, providing coherent and unified treatment across multiple disciplines.
Book Synopsis Evolution in Four Dimensions, revised edition by : Eva Jablonka
Download or read book Evolution in Four Dimensions, revised edition written by Eva Jablonka and published by MIT Press. This book was released on 2014-03-21 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: A pioneering proposal for a pluralistic extension of evolutionary theory, now updated to reflect the most recent research. This new edition of the widely read Evolution in Four Dimensions has been revised to reflect the spate of new discoveries in biology since the book was first published in 2005, offering corrections, an updated bibliography, and a substantial new chapter. Eva Jablonka and Marion Lamb's pioneering argument proposes that there is more to heredity than genes. They describe four “dimensions” in heredity—four inheritance systems that play a role in evolution: genetic, epigenetic (or non-DNA cellular transmission of traits), behavioral, and symbolic (transmission through language and other forms of symbolic communication). These systems, they argue, can all provide variations on which natural selection can act. Jablonka and Lamb present a richer, more complex view of evolution than that offered by the gene-based Modern Synthesis, arguing that induced and acquired changes also play a role. Their lucid and accessible text is accompanied by artist-physician Anna Zeligowski's lively drawings, which humorously and effectively illustrate the authors' points. Each chapter ends with a dialogue in which the authors refine their arguments against the vigorous skepticism of the fictional “I.M.” (for Ipcha Mistabra—Aramaic for “the opposite conjecture”). The extensive new chapter, presented engagingly as a dialogue with I.M., updates the information on each of the four dimensions—with special attention to the epigenetic, where there has been an explosion of new research. Praise for the first edition “With courage and verve, and in a style accessible to general readers, Jablonka and Lamb lay out some of the exciting new pathways of Darwinian evolution that have been uncovered by contemporary research.” —Evelyn Fox Keller, MIT, author of Making Sense of Life: Explaining Biological Development with Models, Metaphors, and Machines “In their beautifully written and impressively argued new book, Jablonka and Lamb show that the evidence from more than fifty years of molecular, behavioral and linguistic studies forces us to reevaluate our inherited understanding of evolution.” —Oren Harman, The New Republic “It is not only an enjoyable read, replete with ideas and facts of interest but it does the most valuable thing a book can do—it makes you think and reexamine your premises and long-held conclusions.” —Adam Wilkins, BioEssays
Book Synopsis Evolutionary Theory by : Niles Eldredge
Download or read book Evolutionary Theory written by Niles Eldredge and published by University of Chicago Press. This book was released on 2016-09-23 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The natural world is infinitely complex and hierarchically structured, with smaller units forming the components of progressively larger systems: molecules make up cells, cells comprise tissues and organs that are, in turn, parts of individual organisms, which are united into populations and integrated into yet more encompassing ecosystems. In the face of such awe-inspiring complexity, there is a need for a comprehensive, non-reductionist evolutionary theory. Having emerged at the crossroads of paleobiology, genetics, and developmental biology, the hierarchical approach to evolution provides a unifying perspective on the natural world and offers an operational framework for scientists seeking to understand the way complex biological systems work and evolve. Coedited by one of the founders of hierarchy theory and featuring a diverse and renowned group of contributors, this volume provides an integrated, comprehensive, cutting-edge introduction to the hierarchy theory of evolution. From sweeping historical reviews to philosophical pieces, theoretical essays, and strictly empirical chapters, it reveals hierarchy theory as a vibrant field of scientific enterprise that holds promise for unification across the life sciences and offers new venues of empirical and theoretical research. Stretching from molecules to the biosphere, hierarchy theory aims to provide an all-encompassing understanding of evolution and—with this first collection devoted entirely to the concept—will help make transparent the fundamental patterns that propel living systems.
Book Synopsis Urban Evolutionary Biology by : Marta Szulkin
Download or read book Urban Evolutionary Biology written by Marta Szulkin and published by Oxford University Press. This book was released on 2020-05-05 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban Evolutionary Biology fills an important knowledge gap on wild organismal evolution in the urban environment, whilst offering a novel exploration of the fast-growing new field of evolutionary research. The growing rate of urbanization and the maturation of urban study systems worldwide means interest in the urban environment as an agent of evolutionary change is rapidly increasing. We are presently witnessing the emergence of a new field of research in evolutionary biology. Despite its rapid global expansion, the urban environment has until now been a largely neglected study site among evolutionary biologists. With its conspicuously altered ecological dynamics, it stands in stark contrast to the natural environments traditionally used as cornerstones for evolutionary ecology research. Urbanization can offer a great range of new opportunities to test for rapid evolutionary processes as a consequence of human activity, both because of replicate contexts for hypothesis testing, but also because cities are characterized by an array of easily quantifiable environmental axes of variation and thus testable agents of selection. Thanks to a wide possible breadth of inference (in terms of taxa) that may be studied, and a great variety of analytical methods, urban evolution has the potential to stand at a fascinating multi-disciplinary crossroad, enriching the field of evolutionary biology with emergent yet incredibly potent new research themes where the urban habitat is key. Urban Evolutionary Biology is an advanced textbook suitable for graduate level students as well as professional researchers studying the genetics, evolutionary biology, and ecology of urban environments. It is also highly relevant to urban ecologists and urban wildlife practitioners.
Book Synopsis Structural Equation Modeling by : Bruce H. Pugesek
Download or read book Structural Equation Modeling written by Bruce H. Pugesek and published by Cambridge University Press. This book was released on 2003-01-23 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural equation modelling (SEM) is a technique that is used to estimate, analyse and test models that specify relationships among variables. The ability to conduct such analyses is essential for many problems in ecology and evolutionary biology. This book begins by explaining the theory behind the statistical methodology, including chapters on conceptual issues, the implementation of an SEM study and the history of the development of SEM. The second section provides examples of analyses on biological data including multi-group models, means models, P-technique and time-series. The final section of the book deals with computer applications and contrasts three popular SEM software packages. Aimed specifically at biological researchers and graduate students, this book will serve as valuable resource for both learning and teaching the SEM methodology. Moreover, data sets and programs that are presented in the book can also be downloaded from a website to assist the learning process.
Book Synopsis Innovation in Cultural Systems by : Michael John O'Brien
Download or read book Innovation in Cultural Systems written by Michael John O'Brien and published by MIT Press. This book was released on 2010 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading scholars offer a range of perspectives on the roles played by innovation in the evolution of human culture. In recent years an interest in applying the principles of evolution to the study of culture emerged in the social sciences. Archaeologists and anthropologists reconsidered the role of innovation in particular, and have moved toward characterizing innovation in cultural systems not only as a product but also as an evolutionary process. This distinction was familiar to biology but new to the social sciences; cultural evolutionists from the nineteenth to the twentieth century had tended to see innovation as a preprogrammed change that occurred when a cultural group "needed" to overcome environmental problems. In this volume, leading researchers from a variety of disciplines--including anthropology, archaeology, evolutionary biology, philosophy, and psychology--offer their perspectives on cultural innovation. The book provides not only a range of views but also an integrated account, with the chapters offering an orderly progression of thought. The contributors consider innovation in biological terms, discussing epistemology, animal studies, systematics and phylogeny, phenotypic plasticity and evolvability, and evo-devo; they discuss modern insights into innovation, including simulation, the random-copying model, diffusion, and demographic analysis; and they offer case studies of innovation from archaeological and ethnographic records, examining developmental, behavioral, and social patterns. Contributors André Ariew, R. Alexander Bentley, Werner Callebaut, Joseph Henrich, Anne Kandler, Kevin N. Laland, Daniel O. Larson, Alex Mesoudi, Michael J. O'Brien, Craig T. Palmer, Adam Powell, Simon M. Reader, Valentine Roux, Chet Savage, Michael Brian Schiffer, Jeffrey H. Schwartz, Stephen J. Shennan, James Steele, Mark G. Thomas, Todd L. VanPool
Book Synopsis Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics by : Elena Marchiori
Download or read book Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics written by Elena Marchiori and published by Springer Science & Business Media. This book was released on 2007-04-02 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.
