Download or read book Primer of Genetic Analysis written by James N. Thompson, Jr and published by Cambridge University Press. This book was released on 2007-10-01 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Primer of Genetic Analysis written by James N. Thompson and published by Cambridge University Press. This book was released on 1997 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: A student-tested study aid, this primer provides guided instruction to the analysis and interpretation of genetic principles and problem solving.
Download or read book Primer of Genetic Analysis A Problems Approach written by J. N. Thompson and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Primer of Genetic Analysis written by Jenna J. Hellack and published by Cambridge University Press. This book was released on 1987-03-27 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An invaluable student-tested study aid, this primer 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 pair is provided with a detailed explanation." "This new 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 to be a valuable aid. It will complement the formal presentation in any genetics textbook or can stand alone as a self-paced review manual."--BOOK JACKET.
Download or read book Primer of Genetic Analysis written by Thompson James N. and published by . This book was released on 2003 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bioinformatics for Geneticists written by Michael R. Barnes and published by John Wiley & Sons. This book was released on 2007-04-16 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise from the reviews: "Without reservation, I endorse this text as the best resource I've encountered that neatly introduces and summarizes many points I've learned through years of experience. The gems of truth found in this book will serve well those who wish to apply bioinformatics in their daily work, as well as help them advise others in this capacity." CIRCGENETICS "This book may really help to get geneticists and bioinformaticians on 'speaking-terms'... contains some essential reading for almost any person working in the field of molecular genetics." EUROPEAN JOURNAL OF HUMAN GENETICS "... an excellent resource... this book should ensure that any researcher's skill base is maintained." GENETICAL RESEARCH “… one of the best available and most accessible texts on bioinformatics and genetics in the postgenome age… The writing is clear, with succinct subsections within each chapter….Without reservation, I endorse this text as the best resource I’ve encountered that neatly introduces and summarizes many points I’ve learned through years of experience. The gems of truth found in this book will serve well those who wish to apply bioinformatics in their daily work, as well as help them advise others in this capacity.” CIRCULATION: CARDIOVASCULAR GENETICS A fully revised version of the successful First Edition, this one-stop reference book enables all geneticists to improve the efficiency of their research. The study of human genetics is moving into a challenging new era. New technologies and data resources such as the HapMap are enabling genome-wide studies, which could potentially identify most common genetic determinants of human health, disease and drug response. With these tremendous new data resources at hand, more than ever care is required in their use. Faced with the sheer volume of genetics and genomic data, bioinformatics is essential to avoid drowning true signal in noise. Considering these challenges, Bioinformatics for Geneticists, Second Edition works at multiple levels: firstly, for the occasional user who simply wants to extract or analyse specific data; secondly, at the level of the advanced user providing explanations of how and why a tool works and how it can be used to greatest effect. Finally experts from fields allied to genetics give insight into the best genomics tools and data to enhance a genetic experiment. Hallmark Features of the Second Edition: Illustrates the value of bioinformatics as a constantly evolving avenue into novel approaches to study genetics The only book specifically addressing the bioinformatics needs of geneticists More than 50% of chapters are completely new contributions Dramatically revised content in core areas of gene and genomic characterisation, pathway analysis, SNP functional analysis and statistical genetics Focused on freely available tools and web-based approaches to bioinformatics analysis, suitable for novices and experienced researchers alike Bioinformatics for Geneticists, Second Edition describes the key bioinformatics and genetic analysis processes that are needed to identify human genetic determinants. The book is based upon the combined practical experience of domain experts from academic and industrial research environments and is of interest to a broad audience, including students, researchers and clinicians working in the human genetics domain.
Download or read book An Introduction to Statistical Genetic Data Analysis written by Melinda C. Mills and published by MIT Press. This book was released on 2020-02-18 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book A Primer of Ecological Genetics written by Jeffrey K. Conner and published by Sinauer Associates Incorporated. This book was released on 2004-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers basic concepts in population and quantitative genetics, including measuring selection on phenotypic traits. The emphasis is on material applicable to field studies of evolution focusing on ecologically important traits. Topics addressed are critical for training students in ecology, evolution, conservation biology, agriculture, forestry, and wildlife management. Many texts in this field are too complex and mathematical to allow the average beginning student to readily grasp the key concepts. A Primer of Ecological Genetics, in contrast, employs mathematics and statistics-fully explained, but at a less advanced level-as tools to improve understanding of biological principles. The main goal is to enable students to understand the concepts well enough that they can gain entry into the primary literature. Integration of the different chapters of the book shows students how diverse concepts relate to each other.
Download or read book Primer to Analysis of Genomic Data Using R written by Cedric Gondro and published by Springer. This book was released on 2015-05-18 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples. The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; snpBLUP and gBLUP for genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data. At a time when genomic data is decidedly big, the skills from this book are critical. In recent years R has become the de facto tool for analysis of gene expression data, in addition to its prominent role in analysis of genomic data. Benefits to using R include the integrated development environment for analysis, flexibility and control of the analytic workflow. Included topics are core components of advanced undergraduate and graduate classes in bioinformatics, genomics and statistical genetics. This book is also designed to be used by students in computer science and statistics who want to learn the practical aspects of genomic analysis without delving into algorithmic details. The datasets used throughout the book may be downloaded from the publisher’s website.
Download or read book Bioinformatics for Geneticists written by Michael R. Barnes and published by John Wiley & Sons. This book was released on 2007-03-13 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise from the reviews: "Without reservation, I endorse this text as the best resource I've encountered that neatly introduces and summarizes many points I've learned through years of experience. The gems of truth found in this book will serve well those who wish to apply bioinformatics in their daily work, as well as help them advise others in this capacity." CIRCGENETICS "This book may really help to get geneticists and bioinformaticians on 'speaking-terms'... contains some essential reading for almost any person working in the field of molecular genetics." EUROPEAN JOURNAL OF HUMAN GENETICS "... an excellent resource... this book should ensure that any researcher's skill base is maintained." GENETICAL RESEARCH “... one of the best available and most accessible texts on bioinformatics and genetics in the postgenome age... The writing is clear, with succinct subsections within each chapter....Without reservation, I endorse this text as the best resource I’ve encountered that neatly introduces and summarizes many points I’ve learned through years of experience. The gems of truth found in this book will serve well those who wish to apply bioinformatics in their daily work, as well as help them advise others in this capacity.” CIRCULATION: CARDIOVASCULAR GENETICS A fully revised version of the successful First Edition, this one-stop reference book enables all geneticists to improve the efficiency of their research. The study of human genetics is moving into a challenging new era. New technologies and data resources such as the HapMap are enabling genome-wide studies, which could potentially identify most common genetic determinants of human health, disease and drug response. With these tremendous new data resources at hand, more than ever care is required in their use. Faced with the sheer volume of genetics and genomic data, bioinformatics is essential to avoid drowning true signal in noise. Considering these challenges, Bioinformatics for Geneticists, Second Edition works at multiple levels: firstly, for the occasional user who simply wants to extract or analyse specific data; secondly, at the level of the advanced user providing explanations of how and why a tool works and how it can be used to greatest effect. Finally experts from fields allied to genetics give insight into the best genomics tools and data to enhance a genetic experiment. Hallmark Features of the Second Edition: Illustrates the value of bioinformatics as a constantly evolving avenue into novel approaches to study genetics The only book specifically addressing the bioinformatics needs of geneticists More than 50% of chapters are completely new contributions Dramatically revised content in core areas of gene and genomic characterisation, pathway analysis, SNP functional analysis and statistical genetics Focused on freely available tools and web-based approaches to bioinformatics analysis, suitable for novices and experienced researchers alike Bioinformatics for Geneticists, Second Edition describes the key bioinformatics and genetic analysis processes that are needed to identify human genetic determinants. The book is based upon the combined practical experience of domain experts from academic and industrial research environments and is of interest to a broad audience, including students, researchers and clinicians working in the human genetics domain.
Download or read book Bioinformatics for Geneticists written by Michael R. Barnes and published by John Wiley & Sons. This book was released on 2003-07-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book illustrates the value of bioinformatics, not simply as a set of tools but rather as a science increasingly essential to navigate and manage the host of information generated by genomics and the availability of completely sequenced genomes. Bioinformatics can be used at all stages of genetics research: to improve study design, to assist in candidate gene identification, to aid data interpretation and management and to shed light on the molecular pathology of disease-causing mutations. Written specifically for geneticists, this book explains the relevance of bioinformatics showing how it may be used to enhance genetic data mining and markedly improve genetic analysis.
Download or read book An Introduction to Genetic Analysis written by Anthony J.F. Griffiths and published by Macmillan. This book was released on 2005 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eighth edition of 'An Introduction to Genetic Analysis' has been extensively revised, shaping its coverage to match current research and thinking in genetics.
Download or read book A Primer of Molecular Population Genetics written by Asher D. Cutter and published by Oxford University Press, USA. This book was released on 2019 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are the genomic signatures of adaptations in DNA? How often does natural selection dictate changes to DNA? How does the ebb and flow in the abundance of individuals over time get marked onto chromosomes to record genetic history? Molecular population genetics seeks to answer such questions by explaining genetic variation and molecular evolution from micro-evolutionary principles. It provides a way to learn about how evolution works and how it shapes species by incorporating molecular details of DNA as the heritable material. It enables us to understand the logic of how mutations originate, change in abundance in populations, and become fixed as DNA sequence divergence between species. With the revolutionary advances in genomic data acquisition, understanding molecular population genetics is now a fundamental requirement for today's life scientists. These concepts apply in analysis of personal genomics, genome-wide association studies, landscape and conservation genetics, forensics, molecular anthropology, and selection scans. This book introduces, in an accessible way, the bare essentials of the theory and practice of molecular population genetics.
Download or read book Genetics written by Daniel L. Hartl and published by Jones & Bartlett Publishers. This book was released on 2012 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Primer of Molecular Population Genetics written by Asher D. Cutter and published by Oxford University Press. This book was released on 2019-06-06 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are the genomic signatures of adaptations in DNA? How often does natural selection dictate changes to DNA? How does the ebb and flow in the abundance of individuals over time get marked onto chromosomes to record genetic history? Molecular population genetics seeks to answer such questions by explaining genetic variation and molecular evolution from micro-evolutionary principles. It provides a way to learn about how evolution works and how it shapes species by incorporating molecular details of DNA as the heritable material. It enables us to understand the logic of how mutations originate, change in abundance in populations, and become fixed as DNA sequence divergence between species. With the revolutionary advances in genomic data acquisition, understanding molecular population genetics is now a fundamental requirement for today's life scientists. These concepts apply in analysis of personal genomics, genome-wide association studies, landscape and conservation genetics, forensics, molecular anthropology, and selection scans. This book introduces, in an accessible way, the bare essentials of the theory and practice of molecular population genetics.
Download or read book Molecular Genetic Analysis of Populations written by A. R. Hoelzel and published by Oxford University Press. This book was released on 1998-03-19 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods enabling the direct study of genetic variation in natural populations have improved considerably. The new edition explores these updated techniques in DNA analysis and provides a revised and refined laboratory guide to investigating variation in DNA molecules.
Download or read book Psychiatric Genetics written by Thomas G. Schulze and published by Oxford University Press. This book was released on 2018 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychiatrists and other mental health professionals are increasingly confronted with questions about the genetics of psychiatric illness, and the clinical applications of new genetic findings. Psychiatric Genetics: A Primer for Clinical and Basic Scientists addresses these questions through a straightforward introduction to the essentials of psychiatric genetics, complementing more comprehensive textbooks that may seem overwhelming for those new to the field. Written and edited by leaders in the field and the International Society of Psychiatric Genetics (ISPG), the book covers basic epidemiology, recruitment for human studies, phenotyping strategies, formal genetic and molecular genetic studies, statistical genetics, bioinformatics and genomics, pharmacogenetics, the most relevant animal models, and biobanking. Each chapter begins with a list of take home points that summarizes content, followed by a brief overview of current knowledge and suggestions for further reading. This Primer is ideal for medical students, psychiatric residents, psychiatrists, and basic neuroscience researchers who are interested in learning about the key concepts and recent advances in the exciting field of psychiatric genetics.
