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Genetics and Randomness

Genetics and Randomness
Author: Anatoly Ruvinsky
Publisher: CRC Press
Total Pages: 186
Release: 2009-07-28
Genre: Mathematics
ISBN: 1420078879
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Analyzes Randomness in Major Genetic Processes and EventsNo matter how far science advances, the proportion of what is knowable to what is random will remain unchanged, and attempts to ignore this critical threshold are futile at best. With the revolutionary explosion in genetic information discovery, it is crucially important to recognize the unde

The Random Genetic Drift Fallacy

The Random Genetic Drift Fallacy
Author: William B. Provine
Publisher: Createspace Independent Publishing Platform
Total Pages: 0
Release: 2014
Genre: Human population genetics
ISBN: 9781500924126
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Much of my life has been devoted to the history of population genetics. My early book was my Ph.D. thesis still in print: The Origins of Theoretical Populations Genetics (1971, 2nd edition, 1991). I stated in the 2nd edition in the Afterword that "random genetic drift" was giving me pause, as does the evolutionary synthesis. My later book was Sewall Wright and Evolutionary Biology (1986) and is also still in print. Now I am writing this book against "random genetic drift," invented by R. A. Fisher and followed by Sewall Wright and J. B. S. Haldane. "Random genetic drift" is the core of population genetics. Any person who believes in "random genetic drift" should read this book.

Computation, Physics and Beyond

Computation, Physics and Beyond
Author: Michael J. Dinneen
Publisher: Springer
Total Pages: 427
Release: 2012-02-15
Genre: Computers
ISBN: 3642276547
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This Festschrift volume has been published in honor of Cristian Calude on the occasion of his 60th birthday and contains contributions from invited speakers and regular papers presented at the International Workshop on Theoretical Computer Science, WTCS 2012, held in Auckland, New Zealand, in February 2012. Cristian Calude has made a significant contribution to research in computer science theory. Along with early work by Chaitin, Kučera, Kurtz, Solovay, and Terwijn his papers published in the mid-1990s jointly with Khoussainov, Hertling, and Wang laid the foundation for the development of modern theory of algorithmic randomness. His work was essential for establishing the leading role of New Zealand in this area. The research interests of Cristian Calude are reflected in the topics covered by the 32 papers included in this book, namely: algorithmic information theory, algorithms, automata and formal languages, computing and natural sciences, computability and applications, logic and applications, philosophy of computation, physics and computation, and unconventional models of computation. They have been organized into four parts. The first part consists of papers discussing his life achievements. This is followed by papers in the three general areas of complexity, computability, and randomness; physics, philosophy (and logic), and computation; and algorithms, automata, and formal models (including unconventional computing).

What's in Your Genes?

What's in Your Genes?
Author: Katie McKissick
Publisher: Simon and Schuster
Total Pages: 256
Release: 2014-01-18
Genre: Reference
ISBN: 1440567646
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Get the low-down on genetics with easy-to-understand terms and clear explanations. From interpreting dominant and recessive genes to learning about mutations, this book shows the different factors that can determine a person's DNA.

Cell Biology by the Numbers

Cell Biology by the Numbers
Author: Ron Milo
Publisher: Garland Science
Total Pages: 400
Release: 2015-12-07
Genre: Science
ISBN: 1317230698
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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 Genetic Lottery

The Genetic Lottery
Author: Kathryn Paige Harden
Publisher: Princeton University Press
Total Pages: 320
Release: 2022-10-11
Genre: Science
ISBN: 0691242100
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A provocative and timely case for how the science of genetics can help create a more just and equal society In recent years, scientists like Kathryn Paige Harden have shown that DNA makes us different, in our personalities and in our health—and in ways that matter for educational and economic success in our current society. In The Genetic Lottery, Harden introduces readers to the latest genetic science, dismantling dangerous ideas about racial superiority and challenging us to grapple with what equality really means in a world where people are born different. Weaving together personal stories with scientific evidence, Harden shows why our refusal to recognize the power of DNA perpetuates the myth of meritocracy, and argues that we must acknowledge the role of genetic luck if we are ever to create a fair society. Reclaiming genetic science from the legacy of eugenics, this groundbreaking book offers a bold new vision of society where everyone thrives, regardless of how one fares in the genetic lottery.

An Introduction to Statistical Genetic Data Analysis

An Introduction to Statistical Genetic Data Analysis
Author: Melinda C. Mills
Publisher: MIT Press
Total Pages: 433
Release: 2020-02-18
Genre: Science
ISBN: 0262357445
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A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website.

A Short History of Mathematical Population Dynamics

A Short History of Mathematical Population Dynamics
Author: Nicolas Bacaër
Publisher: Springer Science & Business Media
Total Pages: 160
Release: 2011-02-01
Genre: Mathematics
ISBN: 0857291157
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As Eugene Wigner stressed, mathematics has proven unreasonably effective in the physical sciences and their technological applications. The role of mathematics in the biological, medical and social sciences has been much more modest but has recently grown thanks to the simulation capacity offered by modern computers. This book traces the history of population dynamics---a theoretical subject closely connected to genetics, ecology, epidemiology and demography---where mathematics has brought significant insights. It presents an overview of the genesis of several important themes: exponential growth, from Euler and Malthus to the Chinese one-child policy; the development of stochastic models, from Mendel's laws and the question of extinction of family names to percolation theory for the spread of epidemics, and chaotic populations, where determinism and randomness intertwine. The reader of this book will see, from a different perspective, the problems that scientists face when governments ask for reliable predictions to help control epidemics (AIDS, SARS, swine flu), manage renewable resources (fishing quotas, spread of genetically modified organisms) or anticipate demographic evolutions such as aging.

Mathematical Topics in Population Genetics

Mathematical Topics in Population Genetics
Author: Ken-ichi Kojima
Publisher: Springer Science & Business Media
Total Pages: 408
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642462448
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A basic method of analyzing particulate gene systems is the proba bilistic and statistical analyses. Mendel himself could not escape from an application of elementary probability analysis although he might have been unaware of this fact. Even Galtonian geneticists in the late 1800's and the early 1900's pursued problems of heredity by means of mathe matics and mathematical statistics. They failed to find the principles of heredity, but succeeded to establish an interdisciplinary area between mathematics and biology, which we call now Biometrics, Biometry, or Applied Statistics. A monumental work in the field of popUlation genetics was published by the late R. A. Fisher, who analyzed "the correlation among relatives" based on Mendelian gene theory (1918). This theoretical analysis over came "so-called blending inheritance" theory, and the orientation of Galtonian explanations for correlations among relatives for quantitative traits rapidly changed. We must not forget the experimental works of Johanson (1909) and Nilsson-Ehle (1909) which supported Mendelian gene theory. However, a large scale experiment for a test of segregation and linkage of Mendelian genes affecting quantitative traits was, prob ably for the first time, conducted by K. Mather and his associates and Panse in the 1940's.