Introduction to Genetic Analysis Book

Introduction to Genetic Analysis

  • Author : Anthony J.F. Griffiths
  • Publisher : W. H. Freeman
  • Release Date : 2010-12-24
  • Genre: Science
  • Pages : 800
  • ISBN 10 : 1429229438

Introduction to Genetic Analysis Excerpt :

Since its inception, Introduction to Genetic Analysis has been known for its prominent authorship—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.

An Introduction to Genetic Analysis Book

An Introduction to Genetic Analysis

  • Author : Anthony J.F. Griffiths
  • Publisher : W. H. Freeman
  • Release Date : 2015-01-12
  • Genre: Science
  • Pages : 868
  • ISBN 10 : 1464109486

An Introduction to Genetic Analysis Excerpt :

With each edition, An Introduction to Genetic Analysis (IGA) evolves discovery by discovery with the world of genetic research, taking students from the foundations of Mendelian genetics to the latest findings and applications by focusing on the landmark experiments that define the field. With its author team of prominent scientists who are also highly accomplished educators, IGA again combines exceptional currency, expansive updating of its acclaimed problem sets, and a variety of new ways to learn genetics. Foremost is this edition’s dedicated version of W.H. Freeman’s breakthrough online course space, LaunchPad, which offers a number of new and enhanced interactive tools that advance IGA’s core mission: to show students how to analyze experimental data and draw their own conclusions based on scientific thinking while teaching students how to think like geneticists.

Introduction to Genetic Analysis  Loose Leaf  Book

Introduction to Genetic Analysis Loose Leaf

  • Author : Susan R. Wessler
  • Publisher : Macmillan
  • Release Date : 2008-12-05
  • Genre: Science
  • Pages : 876
  • ISBN 10 : 1429233230

Introduction to Genetic Analysis Loose Leaf Excerpt :

The author team welcomes a new coauthor, Sean B. Carroll, a recognized leader in the field of evolutionary development, to this new edition of Introduction to Genetic Analysis (IGA). The authors’ ambitious new plans for this edition focus on showing how genetics is practiced today. In particular, the new edition renews its emphasis on how genetic analysis can be a powerful tool for answering biological questions of all types. Special Preview available.

An Introduction to Statistical Genetic Data Analysis Book

An Introduction to Statistical Genetic Data Analysis

  • Author : Melinda C. Mills
  • Publisher : MIT Press
  • Release Date : 2020-02-18
  • Genre: Science
  • Pages : 432
  • ISBN 10 : 9780262357449

An Introduction to Statistical Genetic Data Analysis 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.

Remarkable Creatures Book
Score: 3.5
From 4 Ratings

Remarkable Creatures

  • Author : Sean B. Carroll
  • Publisher : HMH
  • Release Date : 2014-10-16
  • Genre: Science
  • Pages : 352
  • ISBN 10 : 9780547526140

Remarkable Creatures Excerpt :

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

An Introduction to Genetic Algorithms Book
Score: 3
From 7 Ratings

An Introduction to Genetic Algorithms

  • Author : Melanie Mitchell
  • Publisher : MIT Press
  • Release Date : 1998-03-02
  • Genre: Computers
  • Pages : 226
  • ISBN 10 : 0262631857

An Introduction to Genetic Algorithms Excerpt :

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.

An Introduction to Genetic Engineering Book
Score: 4
From 5 Ratings

An Introduction to Genetic Engineering

  • Author : Desmond S. T. Nicholl
  • Publisher : Cambridge University Press
  • Release Date : 2002-02-07
  • Genre: Science
  • Pages : 308
  • ISBN 10 : 0521004713

An Introduction to Genetic Engineering Excerpt :

The author presents a basic introduction to the world of genetic engineering. Copyright © Libri GmbH. All rights reserved.

Modern Genetic Analysis Book

Modern Genetic Analysis

  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1999
  • Genre: Molecular genetics
  • Pages : 675
  • ISBN 10 : 0716735970

Modern Genetic Analysis Excerpt :

Attention  Genes and ADHD Book

Attention Genes and ADHD

  • Author : Florence Levy
  • Publisher : Psychology Press
  • Release Date : 2021-04-14
  • Genre: Psychology
  • Pages : 288
  • ISBN 10 : 9781317710066

Attention Genes and ADHD Excerpt :

This book focuses on the application of behaviour genetic approaches to twin studies, and reviews diagnostic to Attention Deficit Hyperactivity Disorder (ADHD), the relationships between reading, spelling and ADHD, and family and genetic influences on speech and speech and language.

Computational Genomics with R Book

Computational Genomics with R

  • Author : Altuna Akalin
  • Publisher : CRC Press
  • Release Date : 2020-12-16
  • Genre: Mathematics
  • Pages : 462
  • ISBN 10 : 9781498781862

Computational Genomics with R Excerpt :

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

Diagnostic Genetic Testing Book

Diagnostic Genetic Testing

  • Author : David Bourn
  • Publisher : Springer Nature
  • Release Date : 2021-11-13
  • Genre: Medical
  • Pages : 145
  • ISBN 10 : 9783030855109

Diagnostic Genetic Testing Excerpt :

Over the last decade, technical advances have allowed genomic testing which provides a great opportunity for diagnosis but also an increased chance of uncertain or unexpected findings. This book addresses many of the questions that arise in this context and summarizes the essential concepts in diagnostic genetic testing in an easy-to-read manner. It also covers some broad context for the practical and ethical implications of examining human DNA sequences. The book starts with a general introduction to the field, providing enough background to allow readers without any previous education in genetics to comprehend the material in the subsequent chapters. The main part explores differing aspects of human genetics and the wider implications of testing in these areas. The author covers not only single gene inheritance, but also genetic testing of cancers and how testing benefits the patients. Special emphasis is also given to the questions of genetics and identity. The concluding part then draws the main themes together and summarises the wider significance of genetics. It also explores the gap between promises made for the impact of advances in genetics, and the actual benefits to patients. The book is written for everyone interested to learn about the process of genetic testing and the broader implications. Moreover, it is aimed at health professionals with an interest in genetics, at students or scientific trainees looking for an introduction to diagnostic genetics, and at professionals in health policy or health journalism.