Primer of Genetic Analysis

Primer of Genetic Analysis
Author: James N. Thompson, Jr,Jenna J. Hellack,Gerald Braver,David S. Durica
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2007-10-01
Genre: Science
ISBN: 1139465643

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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.

Primer of Genetic Analysis

Primer of Genetic Analysis
Author: Thompson James N.,Hellack Jenna J.,Braver Gerald,Durica David S.
Publsiher: Unknown
Total Pages: 312
Release: 2003
Genre: Electronic Book
ISBN: OCLC:772507900

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Primer of Genetic Analysis A Problems Approach

Primer of Genetic Analysis  A Problems Approach
Author: J. N. Thompson
Publsiher: Unknown
Total Pages: 135
Release: 1987
Genre: Electronic Book
ISBN: OCLC:721609149

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Primer of Genetic Analysis

Primer of Genetic Analysis
Author: James N. Thompson
Publsiher: Cambridge University Press
Total Pages: 292
Release: 1997
Genre: Science
ISBN: 052147891X

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A student-tested study aid, this primer provides guided instruction to the analysis and interpretation of genetic principles and problem solving.

Primer of Genetic Analysis

Primer of Genetic Analysis
Author: Jenna J. Hellack,James N. Thompson, Jr,Gerald Braver
Publsiher: Cambridge University Press
Total Pages: 188
Release: 1987-03-27
Genre: Science
ISBN: 0521331781

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"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.

Bioinformatics for Geneticists

Bioinformatics for Geneticists
Author: Michael R. Barnes,Ian C. Gray
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2003-07-01
Genre: Science
ISBN: 9780470862193

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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.

Bioinformatics for Geneticists

Bioinformatics for Geneticists
Author: Michael R. Barnes
Publsiher: John Wiley & Sons
Total Pages: 576
Release: 2007-03-13
Genre: Science
ISBN: 9780470059173

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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.

An Introduction to Statistical Genetic Data Analysis

An Introduction to Statistical Genetic Data Analysis
Author: Melinda C. Mills,Nicola Barban,Felix C. Tropf
Publsiher: MIT Press
Total Pages: 433
Release: 2020-02-18
Genre: Science
ISBN: 9780262357449

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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.