Products related to Genetic:
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An Introduction to Genetic Analysis
The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.The hallmark focuses on genetic analysis, quantitative problem solving, and experimentation continue in this new edition while incorporating robust updates to the science. Introduction to Genetic Analysis is now supported in Achieve, Macmillan's new online learning platform.Achieve is the culmination of years of development work put toward creating the most powerful online learning tool for biology students.It houses all of our renowned assessments, multimedia assets, e-books, and instructor resources in a powerful new platform.
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An Introduction to Statistical Genetic Data Analysis
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.
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Genetic Theory and Analysis : Finding Meaning in a Genome
GENETIC THEORY AND ANALYSIS Understand and apply what drives change of characteristic genetic traits and heredity Genetics is the study of how traits are passed from parents to their offspring and how the variation in those traits affects the development and health of the organism.Investigating how these traits affect the organism involves a diverse set of approaches and tools, including genetic screens, DNA and RNA sequencing, mapping, and methods to understand the structure and function of proteins.Thus, there is a need for a textbook that provides a broad overview of these methods. Genetic Theory and Analysis meets this need by describing key approaches and methods in genetic analysis through a historical lens.Focusing on the five basic principles underlying the field—mutation, complementation, recombination, segregation, and regulation—it identifies the full suite of tests and methodologies available to the geneticist in an age of flourishing genetic and genomic research.This second edition of the text has been updated to reflect recent advances and increase accessibility to advanced undergraduate students.Genetic Theory and Analysis, 2nd edition readers will also find: Detailed treatment of subjects including mutagenesis, meiosis, complementation, suppression, and moreUpdated discussion of epistasis, mosaic analysis, RNAi, genome sequencing, and moreAppendices discussing model organisms, genetic fine-structure analysis, and tetrad analysis Genetic Theory and Analysis is ideal for both graduate students and advanced undergraduates undertaking courses in genetics, genetic engineering, and computational biology.
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Genetic Testing
Genetic testing has provided important clues to understanding our health, but it has also raised many ethical, legal, and medical questions and concerns.This book explores the breadth of genetic testing, its possibilities, and the controversies that surround its use. The mapping of the human genome has paved the way for a variety of genetic tests.Expectant mothers can have their fetus screened for a variety of genetic abnormalities, and couples worried that they might be carriers for a genetic disorder can be tested before deciding to have children.Women can be screened for the BRCA2 gene that has been linked to increased risk of breast cancer.Individuals curious about their ancestry can find out more about their heritage.Genetic testing can also be used to establish paternity and help solve crimes. Part of Greenwood's Health and Medical Issues Today series, this book is divided into three sections.Part I explores the history of genetic testing, including the rise of direct-to-consumer tests, and outlines the current applications and contexts in which genetic testing is performed.Part II delves deep into the ethical, legal, financial, medical, and psychological issues and controversies that surround genetic testing.Part III provides a variety of useful materials, including case studies, a timeline of critical events, and a directory of resources.
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What is the question for the genetic analysis?
The question for the genetic analysis could be something like: "What is the genetic basis for the observed trait or disease in the population?" This question seeks to understand the underlying genetic factors that contribute to a specific trait or disease, and may involve identifying specific genetic variations or mutations that are associated with the trait or disease. The genetic analysis aims to uncover the genetic mechanisms that drive the observed phenotype, and may involve techniques such as genome-wide association studies, linkage analysis, or sequencing of specific genes.
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How does genetic modification of genetic information work?
Genetic modification involves altering the genetic information of an organism by introducing new DNA into its genome. This can be achieved through various techniques such as gene editing using tools like CRISPR, or by introducing foreign DNA into the organism through a process called transgenesis. The new DNA can be designed to add, delete, or modify specific genes, which can result in changes to the organism's traits or characteristics. Genetic modification has the potential to create organisms with improved traits, such as increased resistance to diseases or improved nutritional content.
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What is the difference between genetic and genetic engineering?
Genetics refers to the study of genes, heredity, and variation in living organisms. It involves understanding how traits are passed down from one generation to the next. On the other hand, genetic engineering is the deliberate modification of an organism's genetic material using biotechnology. This can involve altering specific genes to achieve desired traits or characteristics. In essence, genetics is the study of natural genetic processes, while genetic engineering involves the intentional manipulation of genetic material for specific purposes.
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What genetic orientation?
Genetic orientation refers to the specific genetic makeup or characteristics of an individual, which can influence various traits and predispositions. This orientation is determined by the combination of genes inherited from one's parents and can impact things like physical appearance, health conditions, and even personality traits. Understanding one's genetic orientation can provide insights into potential health risks and help in making informed decisions about lifestyle choices and medical care.
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Playing the Genetic Lottery
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Genetic Ethics : An Introduction
Colin Farrelly contemplates the various ethical and social quandaries raised by the genetic revolution.Recent biomedical advances such as genetic screening, gene therapy and genome editing might be used to promote equality of opportunity, reproductive freedom, healthy aging, and the prevention and treatment of disease.But these technologies also raise a host of ethical questions: Is the idea of “genetically engineering” humans a morally objectionable form of eugenics?Should parents undergoing IVF be permitted to screen embryos for the sex of their offspring?Would it be ethical to alter the rate at which humans age, greatly increasing longevity at a time when the human population is already at potentially unsustainable levels?Farrelly applies an original virtue ethics framework to assess these and other challenges posed by the genetic revolution.Chapters discuss virtue ethics in relation to eugenics, infectious and chronic disease, evolutionary biology, epigenetics, happiness, reproductive freedom and longevity.This fresh approach creates a roadmap for thinking ethically about technological progress that will be of practical use to ethicists and scientists for years to come.Accessible in tone and compellingly argued, this book is an ideal introduction for students of bioethics, applied ethics, biomedical sciences, and related courses in philosophy and life sciences.
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Genetic Cabaret Signed CD
In the privacy of a worldclass studio with legendary recording engineer and sound alchemist Steve Albini In Utero by Nirvana, Rid Of Me by PJ Harvey, Surfa Rosa by Pixies too many stonecold legends to parenthesize, Asylums have recorded new album Genetic Cabaret, their genius follow up to 2018s acclaimed Alien Human Emotions. Whilst recording, the band split their time between Chicago, whose big honest soul superseded the garish horrifying pantomime of Trumps America, Norway and Germany, where Brexit shame was temporarily suppressed like a bad nightmare. The 4 pieces are now back on the floundering isle of chaos that is home, nails bloody from picking the real from the farce and bursting at the guts with tales of runaway adventures, magpie wisdom and furious hope. Asylums have big new things to say.
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Genetic Algorithms in Elixir
From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications.But you don't need an exotic new language or framework to get started; you can learn about genetic algorithms in a language you're already familiar with.Join us for an in-depth look at the algorithms, techniques, and methods that go into writing a genetic algorithm.From introductory problems to real-world applications, you'll learn the underlying principles of problem solving using genetic algorithms. Evolutionary algorithms are a unique and often overlooked subset of machine learning and artificial intelligence. Because of this, most of the available resources are outdated or too academic in nature, and none of them are made with Elixir programmers in mind. Start from the ground up with genetic algorithms in a language you are familiar with.Discover the power of genetic algorithms through simple solutions to challenging problems.Use Elixir features to write genetic algorithms that are concise and idiomatic.Learn the complete life cycle of solving a problem using genetic algorithms.Understand the different techniques and fine-tuning required to solve a wide array of problems.Plan, test, analyze, and visualize your genetic algorithms with real-world applications. Open your eyes to a unique and powerful field - without having to learn a new language or framework. What You Need: You'll need a macOS, Windows, or Linux distribution with an up-to-date Elixir installation.
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What is the difference between genetic research and genetic engineering?
Genetic research involves studying genes and their functions to understand how they contribute to traits and diseases. It focuses on identifying genetic variations and their impact on individuals. On the other hand, genetic engineering involves manipulating genes to create new traits or modify existing ones. It is a technology that allows scientists to directly alter the genetic makeup of an organism. In essence, genetic research is about studying genes, while genetic engineering is about actively changing them.
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How does the genetic modification of the genetic information work?
Genetic modification involves altering the genetic information of an organism by introducing specific changes to its DNA. This can be done by inserting new genes, removing existing genes, or modifying the expression of certain genes. Techniques such as CRISPR-Cas9 allow for precise editing of DNA sequences, enabling scientists to target specific genes and make desired modifications. Once the genetic information has been modified, the organism's cells will start producing proteins based on the new instructions encoded in its DNA.
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Could genetic memories exist?
Genetic memories, also known as ancestral or inherited memories, are a concept that suggests that memories or experiences of our ancestors could be passed down through our genes. While there is some evidence to suggest that certain experiences can have an impact on gene expression and behavior in future generations, the idea of direct transmission of specific memories is not supported by scientific evidence. Memories are complex and involve the brain's intricate neural networks, which are not encoded in our DNA. Therefore, the existence of genetic memories as commonly understood is not supported by current scientific understanding.
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What is genetic inheritance?
Genetic inheritance refers to the passing of traits and characteristics from parents to offspring through the transmission of genes. Genes are segments of DNA that contain instructions for specific traits, such as eye color or height. Offspring inherit a combination of genes from both parents, which determines their physical and biological characteristics. Genetic inheritance plays a crucial role in shaping an individual's traits and susceptibility to certain diseases.
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