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Eye-opening and mind-expanding, "Mapping Our Genes" tells of the experts who are brightly hopeful about using genetic mapping and engineering as weapons in the war against the many incurable genetically inherited maladies.
National Research Council,Division on Earth and Life Studies,Commission on Life Sciences,Committee on Mapping and Sequencing the Human Genome
Author : National Research Council,Division on Earth and Life Studies,Commission on Life Sciences,Committee on Mapping and Sequencing the Human Genome Publisher : National Academies Press Page : 128 pages File Size : 49,5 Mb Release : 1988-01-01 Category : Science ISBN : 9780309038409
Mapping and Sequencing the Human Genome by National Research Council,Division on Earth and Life Studies,Commission on Life Sciences,Committee on Mapping and Sequencing the Human Genome Pdf
There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers.
Genetic Mapping and Marker Assisted Selection by N. Manikanda Boopathi Pdf
The first edition of this book, Genetic Mapping and Marker Assisted Selection: Basics, Practice and Benefits, was widely appreciated as the first of its kind on this topic and has been listed as a reference work in several agricultural universities’ curricula. A great deal has happened over the last five years, making it high time to incorporate recent developments in genetic mapping and report on novel strategies in marker assisted selection in crop plants as a second edition. This book addresses a range of topics, including: new marker types and their genotyping methods based on high-throughput technologies, advances in genomics and their role in new marker development, improvements in genetic mapping strategies and software updates, developments in phenomics and their applications in QTL mapping, and how to incorporate these developments and advances in marker assisted selection in crop plants. Similar to the first edition, each technique and method is explained using a step-by-step method, allowing the book to serve as a self-study guide for scholars whose work involves the genetic improvement of crop plants for any trait of interest, particularly for biotic and abiotic stress resistance. In addition, the book offers a valuable guide for undergraduate and graduate students at agricultural universities and institutes that are interested and/or involved in the genetic improvement of crop plants using modern tools. In addition, the bibliography includes a list of suggested works for pursuing further research on the topics covered.
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.
National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Committee on the Mathematical Sciences in Genome and Protein Structure Research
Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Committee on the Mathematical Sciences in Genome and Protein Structure Research Publisher : National Academies Press Page : 300 pages File Size : 50,7 Mb Release : 1995-04-06 Category : Science ISBN : 9780309048866
Calculating the Secrets of Life by National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Committee on the Mathematical Sciences in Genome and Protein Structure Research Pdf
As researchers have pursued biology's secrets to the molecular level, mathematical and computer sciences have played an increasingly important roleâ€"in genome mapping, population genetics, and even the controversial search for "Eve," hypothetical mother of the human race. In this first-ever survey of the partnership between the two fields, leading experts look at how mathematical research and methods have made possible important discoveries in biology. The volume explores how differential geometry, topology, and differential mechanics have allowed researchers to "wind" and "unwind" DNA's double helix to understand the phenomenon of supercoiling. It explains how mathematical tools are revealing the workings of enzymes and proteins. And it describes how mathematicians are detecting echoes from the origin of life by applying stochastic and statistical theory to the study of DNA sequences. This informative and motivational book will be of interest to researchers, research administrators, and educators and students in mathematics, computer sciences, and biology.
Drawing the Map of Life is the dramatic story of the Human Genome Project from its origins, through the race to order the 3 billion subunits of DNA, to the surprises emerging as scientists seek to exploit the molecule of heredity. It's the first account to deal in depth with the intellectual roots of the project, the motivations that drove it, and the hype that often masked genuine triumphs. Distinguished science journalist Victor McElheny offers vivid, insightful profiles of key people, such as David Botstein, Eric Lander, Francis Collins, James Watson, Michael Hunkapiller, and Craig Venter. McElheny also shows that the Human Genome Project is a striking example of how new techniques (such as restriction enzymes and sequencing methods) often arrive first, shaping the questions scientists then ask. Drawing on years of original interviews and reporting in the inner circles of biological science, Drawing the Map of Life is the definitive, up-to-date story of today's greatest scientific quest. No one who wishes to understand genome mapping and how it is transforming our lives can afford to miss this book.
A Guide to the Human Genome Project by Susan L. Speaker,M. Susan Lindee,Elizabeth Hanson Pdf
This simple, concise introduction to the HGP for the general reader explores the origins of the genome project and reactions in the scientific community; important technologies and techniques; institutions connected with the HGP, including designated genome centers, important suppliers of resources, and corporations; systems of communication; and ethical, legal, and social issues. A publication of the Biomolecular Sciences Initiative of CHF's Beckman Center for the History of Chemistry.
Drawing the Map of Life is the dramatic story of the Human Genome Project from its origins, through the race to order the 3 billion subunits of DNA, to the surprises emerging as scientists seek to exploit the molecule of heredity. It's the first account to deal in depth with the intellectual roots of the project, the motivations that drove it, and the hype that often masked genuine triumphs. Distinguished science journalist Victor McElheny offers vivid, insightful profiles of key people, such as David Botstein, Eric Lander, Francis Collins, James Watson, Michael Hunkapiller, and Craig Venter. McElheny also shows that the Human Genome Project is a striking example of how new techniques (such as restriction enzymes and sequencing methods) often arrive first, shaping the questions scientists then ask. Drawing on years of original interviews and reporting in the inner circles of biological science, Drawing the Map of Life is the definitive, up-to-date story of today's greatest scientific quest. No one who wishes to understand genome mapping and how it is transforming our lives can afford to miss this book.
Genetic Mapping in Experimental Populations by J. W. Van Ooijen,J. Jansen Pdf
A concise introduction to genetic linkage map construction for biological researchers, combining theory with practical exercises and problem-solving tips.
Genome Mapping and Genomics in Human and Non-Human Primates by Ravindranath Duggirala,Laura Almasy,Sarah Williams-Blangero,Solomon F.D. Paul,Chittaranjan Kole Pdf
This book provides an introduction to the latest gene mapping techniques and their applications in biomedical research and evolutionary biology. It especially highlights the advances made in large-scale genomic sequencing. Results of studies that illustrate how the new approaches have improved our understanding of the genetic basis of complex phenotypes including multifactorial diseases (e.g., cardiovascular disease, type 2 diabetes, and obesity), anatomic characteristics (e.g., the craniofacial complex), and neurological and behavioral phenotypes (e.g., human brain structure and nonhuman primate behavior) are presented. Topics covered include linkage and association methods, gene expression, copy number variation, next-generation sequencing, comparative genomics, population structure, and a discussion of the Human Genome Project. Further included are discussions of the use of statistical genetic and genetic epidemiologic techniques to decipher the genetic architecture of normal and disease-related complex phenotypes using data from both humans and non-human primates.
Computational Genomics with R by Altuna Akalin Pdf
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.