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Genetic Entropy

Author : John C. Sanford
Publisher :
Page : 0 pages
File Size : 50,59 MB
Release : 2014
Category : Nature
ISBN : 9780981631608

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In this text, Sanford, a retired Cornell professor, shows that the "Primary Axiom"--the foundational evolutionary premise that life is merely the result of mutations and natural selection--is false. He strongly refutes the Darwinian concept that man is just the result of a random and pointless natural process.

Genetic Entropy & the Mystery of the Genome

Author : John C. Sanford
Publisher : Ivan Press
Page : 228 pages
File Size : 47,94 MB
Release : 2005
Category : Science
ISBN :

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Dr. John Sanford, a retired Cornell Professor, shows in Genetic Entropy and the Mystery of the Genome that the Primary Axiom is false. The Primary Axiom is the foundational evolutionary premise - that life is merely the result of mutations and natural selection. In addition to showing compelling theoretical evidence that whole genomes can not evolve upward, Dr. Sanford presents strong evidence that higher genomes must in fact degenerate over time. This book strongly refutes the Darwinian concept that man is just the result of a random and pointless natural process.

Biological Information

Author : Robert J Marks II
Publisher : World Scientific Publishing Company
Page : 584 pages
File Size : 28,65 MB
Release : 2013-06-03
Category : Computers
ISBN : 9814508721

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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 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.

Entropy and Diversity

Author : Tom Leinster
Publisher : Cambridge University Press
Page : 457 pages
File Size : 11,11 MB
Release : 2021-04-22
Category : Language Arts & Disciplines
ISBN : 1108832709

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Discover the mathematical riches of 'what is diversity?' in a book that adds mathematical rigour to a vital ecological debate.

Evolution

Author : Michael Denton
Publisher : Adler & Adler Publishers
Page : 378 pages
File Size : 28,6 MB
Release : 1986
Category : Science
ISBN :

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Examines evidence which is threatening the basic assumptions of Darwinism.

Genetic Entropy

Author : John Sanford
Publisher :
Page : pages
File Size : 46,11 MB
Release : 2014-11-07
Category :
ISBN : 9780981631622

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Biological Information--new Perspectives

Author : Robert Jackson Marks (II)
Publisher : World Scientific Publishing Company Incorporated
Page : 563 pages
File Size : 40,96 MB
Release : 2013
Category : Computers
ISBN : 9789814508711

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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.

The Geometry of Population Genetics

Author : Ethan Akin
Publisher : Springer Science & Business Media
Page : 212 pages
File Size : 37,2 MB
Release : 2013-04-09
Category : Mathematics
ISBN : 3642931286

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The differential equations which model the action of selection and recombination are nonlinear equations which are impossible to It is even difficult to describe in general the solve explicitly. Recently, Shahshahani began using qualitative behavior of solutions. differential geometry to study these equations [28]. with this mono graph I hope to show that his ideas illuminate many aspects of pop ulation genetics. Among these are his proof and clarification of Fisher's Fundamental Theorem of Natural Selection and Kimura's Maximum Principle and also the effect of recombination on entropy. We also discover the relationship between two classic measures of 2 genetic distance: the x measure and the arc-cosine measure. There are two large applications. The first is a precise definition of the biological concept of degree of epistasis which applies to general (i.e. frequency dependent) forms of selection. The second is the unexpected appearance of cycling. We show that cycles can occur in the two-locus-two-allele model of selection plus recombination even when the fitness numbers are constant (i.e. no frequency dependence). This work is addressed to two different kinds of readers which accounts for its mode of organization. For the biologist, Chapter I contains a description of the entire work with brief indications of a proof for the harder results. I imagine a reader with some familiarity with linear algebra and systems of differential equations. Ideal background is Hirsch and Smale's text [15].

Biology's First Law

Author : Daniel W. McShea
Publisher : University of Chicago Press
Page : 186 pages
File Size : 43,26 MB
Release : 2010-07-15
Category : Science
ISBN : 0226562271

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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.