Download Full eBooks in PDF
Introduction To Genetic Analysis Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Introduction To Genetic Analysis book. This book definitely worth reading, it is an incredibly well-written.
Author : Anthony J. F. Griffiths,John Doebley,David A. Wassarman,Catherine Peichel
Publisher : Unknown
Page : 128 pages
File Size : 47,6 Mb
Release : 2020-11-13
Category : Electronic
ISBN : 1319401392
Author : Melinda C. Mills,Nicola Barban,Felix C. Tropf
Publisher : MIT Press
Page : 433 pages
File Size : 48,8 Mb
Release : 2020-02-18
Category : Science
ISBN : 9780262357449
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.
Author : Anthony Griffiths,Susan Wessler,Sean Carroll,John Doebley
Publisher : WH Freeman
Page : 0 pages
File Size : 41,5 Mb
Release : 2018-03-07
Category : Science
ISBN : 1464187940
This is the Solutions manual for Introduction to Genetic Analysis.
Author : Anthony J.F. Griffiths
Publisher : Macmillan
Page : 870 pages
File Size : 44,8 Mb
Release : 2008
Category : Science
ISBN : UOM:39076002856842
Provides an introduction to genetic analysis. This book covers contemporary genetics, and helps students understand the essentials of genetics, featuring various experiments, teaching them how to analyze data, and how to draw their own conclusions
Author : Anthony J.F. Griffiths,Susan R. Wessler,John Doebley,Sean B. Carroll
Publisher : W. H. Freeman
Page : 0 pages
File Size : 51,5 Mb
Release : 2010-12-24
Category : Science
ISBN : 1429272775
From the publisher. Since its inception, Introduction to Genetic Analysis (IGA) has been known for its prominent authorship including leading scientists in their field who are great educators. This market best-seller exposes students to the landmark experiments in genetics, teaching students how to analyze experimental data and how to draw their own conclusions based on scientific thinking while teaching students how to think like geneticists.
Author : James N. Thompson, Jr,Jenna J. Hellack,Gerald Braver,David S. Durica
Publisher : Cambridge University Press
Page : 488 pages
File Size : 44,6 Mb
Release : 2007-10-01
Category : Science
ISBN : 9781139465649
An invaluable student-tested study aid, this primer, first published in 2007, provides guided instruction for the analysis and interpretation of genetic principles and practice in problem solving. Each section is introduced with a summary of useful hints for problem solving and an overview of the topic with key terms. A series of problems, generally progressing from simple to more complex, then allows students to test their understanding of the material. Each question and answer is accompanied by detailed explanation. This third edition includes additional problems in basic areas that often challenge students, extended coverage in molecular biology and development, an expanded glossary of terms, and updated historical landmarks. Students at all levels, from beginning biologists and premedical students to graduates seeking a review of basic genetics, will find this book a valuable aid. It will complement the formal presentation in any genetics textbook or stand alone as a self-paced review manual.
Author : Palmer, Lyle J.,Burton, Paul R.,George Davey Smith
Publisher : Policy Press
Page : 240 pages
File Size : 52,7 Mb
Release : 2011-05-31
Category : Medical
ISBN : 9781861348975
This book brings together leading experts to provide an introduction to genetic epidemiology that begins with a primer in human molecular genetics through all the standard methods in population genetics and genetic epidemiology required for an adequate grounding in the field.
Author : Sean B. Carroll
Publisher : HMH
Page : 357 pages
File Size : 42,5 Mb
Release : 2014-10-16
Category : Science
ISBN : 9780547526140
National Book Award Finalist: A biologist’s “thoroughly enjoyable” account of the expeditions that unearthed the history of life on our planet (Publishers Weekly). Not so long ago, most of our world was an unexplored wilderness. Our sense of its age was vague and vastly off the mark, and much of the knowledge of our own species’ history was a set of fantastic myths and fairy tales. But scientists were about to embark on an amazing new era of understanding. From the New York Times–bestselling author of The Big Picture, this book leads us on a rousing voyage that recounts the most important discoveries in two centuries of natural history: from Darwin’s trip around the world to Charles Walcott’s discovery of pre-Cambrian life in the Grand Canyon; from Louis and Mary Leakey’s investigation of our deepest past in East Africa to the trailblazers in modern laboratories who have located a time clock in our DNA. Filled with the same sense of adventure that spurred on these extraordinary men and women, Remarkable Creatures is a “stirring introduction to the wonder of evolutionary biology” (Kirkus Reviews). “Charming and enlightening.” —San Francisco Chronicle “As fast-paced as a detective story.” —Nature
Author : Desmond S. T. Nicholl
Publisher : Cambridge University Press
Page : 308 pages
File Size : 55,7 Mb
Release : 2002-02-07
Category : Medical
ISBN : 0521004713
The author presents a basic introduction to the world of genetic engineering. Copyright © Libri GmbH. All rights reserved.
Author : Anthony J.F. Griffiths
Publisher : Macmillan
Page : 808 pages
File Size : 42,6 Mb
Release : 2005
Category : Science
ISBN : 0716749394
The eighth edition of 'An Introduction to Genetic Analysis' has been extensively revised, shaping its coverage to match current research and thinking in genetics.
Author : Altuna Akalin
Publisher : CRC Press
Page : 462 pages
File Size : 40,8 Mb
Release : 2020-12-16
Category : Mathematics
ISBN : 9781498781862
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.
Author : Anthony J. F. Griffiths,William M. Gelbart,Jeffrey H. Miller
Publisher : Unknown
Page : 675 pages
File Size : 41,8 Mb
Release : 1999
Category : Electronic
ISBN : 0716735970
Author : Fikret Isik,James Holland,Christian Maltecca
Publisher : Springer
Page : 400 pages
File Size : 52,5 Mb
Release : 2017-09-09
Category : Science
ISBN : 9783319551777
This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.
Author : Kenneth Lange
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 46,9 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9780387217505
Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research. This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.
Author : Melanie Mitchell
Publisher : MIT Press
Page : 226 pages
File Size : 44,8 Mb
Release : 1998-03-02
Category : Computers
ISBN : 0262631857
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.