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By mapping the worldwide geographic distribution of the genes, the scientists are now able to chart migrations and, in exploring genetic distance, devise a clock by which to date evolutionary history: the longer two populations are separated, the greater their genetic difference should be.
Are humans unique? This simple question, at the very heart of the hybrid field of biological anthropology, poses one of the false of dichotomies—with a stereotypical humanist answering in the affirmative and a stereotypical scientist answering in the negative. The study of human biology is different from the study of the biology of other species. In the simplest terms, people's lives and welfare may depend upon it, in a sense that they may not depend on the study of other scientific subjects. Where science is used to validate ideas—four out of five scientists preferring a brand of cigarettes or toothpaste—there is a tendency to accept the judgment as authoritative without asking the kinds of questions we might ask of other citizens' pronouncements.
Around 60,000 years ago, a man—genetically identical to us—lived in Africa. Every person alive today is descended from him. How did this real-life Adam wind up as the father of us all? What happened to the descendants of other men who lived at the same time? And why, if modern humans share a single prehistoric ancestor, do we come in so many sizes, shapes, and races? Examining the hidden secrets of human evolution in our genetic code, Spencer Wells reveals how developments in the revolutionary science of population genetics have made it possible to create a family tree for the whole of humanity. Replete with marvelous anecdotes and remarkable information, from the truth about the real Adam and Eve to the way differing racial types emerged, The Journey of Man is an enthralling, epic tour through the history and development of early humankind.
Illustrates important fundamental aspects of cerebral lateralization, explaining how decreased language lateralization can facilitate psychotic symptoms in the human brain.
Comprehensive, advanced treatment of nature and source of inherited characteristics, with treatment of mathematical techniques. Mendelian populations, mutations, polymorphisms, genetic demography, much more. Emphasizes interpretation of data in relation to theoretical models.
Until just a few years ago, we knew surprisingly little about the 150,000 or so years of human existence before the advent of writing. Some of the most momentous events in our past - including our origins, our migrations across the globe, and our acquisition of language - were veiled in the uncertainty of 'prehistory'. That veil is being lifted at last by geneticists and other scientists. Mapping Human History is nothing less than an astonishing 'history of prehistory'. Steve Olson travelled through four continents to gather insights into the development of humans and our expansion throughout the world. He describes, for example, new thinking about how centres of agriculture sprang up among disparate foraging societies at roughly the same time. He tells why most of us can claim Julius Caesar and Confucius among our forebears. He pinpoints why the ways in which the story of the Jewish people jibes with, and diverges from, biblical accounts. And using very recent genetic findings, he explodes the myth that human races are a biological reality.
Hailed as a breakthrough in the understanding of human evolution, The History and Geography of Human Genes offers the first full-scale reconstruction of where human populations originated and the paths by which they spread throughout the world. By mapping the worldwide geographic distribution of genes for over 110 traits in over 1800 primarily aboriginal populations, the authors charted migrations and devised a clock by which to date evolutionary history. This monumental work is now available in a more affordable paperback edition without the myriad illustrations and maps, but containing the full text and partial appendices of the authors' pathbreaking endeavor.
Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine. Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.
This textbook provides an authoritative introduction to both classical and coalescent approaches to population genetics. Written for graduate students and advanced undergraduates by one of the world's leading authorities in the field, the book focuses on the theoretical background of population genetics, while emphasizing the close interplay between theory and empiricism. Traditional topics such as genetic and phenotypic variation, mutation, migration, and linkage are covered and advanced by contemporary coalescent theory, which describes the genealogy of genes in a population, ultimately connecting them to a single common ancestor. Effects of selection, particularly genomic effects, are discussed with reference to molecular genetic variation. The book is designed for students of population genetics, bioinformatics, evolutionary biology, molecular evolution, and theoretical biology--as well as biologists, molecular biologists, breeders, biomathematicians, and biostatisticians. Contains up-to-date treatment of key areas in classical and modern theoretical population genetics Provides in-depth coverage of coalescent theory Discusses genomic effects of selection Gives examples from empirical population genetics Incorporates figures, diagrams, and boxed features throughout Includes end-of-chapter exercises Speaks to a wide range of students in biology, bioinformatics, and biostatistics