Genetic Analysis: An Integrated Approach, Global Edition PDF Download
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Author: Mark F. Sanders
Publisher: Pearson Higher Ed
ISBN: 1292092378
Category : Science
Languages : en
Pages : 890
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Book Description
For all introductory genetics courses Informed by many years of genetics teaching and research expertise, authors Mark Sanders and John Bowman use an integrated approach that helps contextualise three core challenges of learning genetics: solving problems, understanding evolution, and understanding the connection between traditional genetics models and more modern approaches. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Author: Mark F. Sanders
Publisher: Benjamin Cummings
ISBN: 9780133795585
Category : Medical
Languages : en
Pages : 424
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Book Description
Author: Mark F. Sanders
Publisher: Pearson Educacion
ISBN: 9780321818461
Category : Genetics
Languages : en
Pages : 864
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Book Description
Informed by many years of genetics teaching and research experience, authors Mark Sanders and John Bowman use an integrative approach that helps contextualize three core challenges of learning genetics: solving problems, understanding evolution, and understanding the connection between traditional genetics models and more modern approaches. This package contains: Genetic Analysis: An Integrated Approach
Author: Daniel L. Hartl
Publisher: Jones & Bartlett Publishers
ISBN: 1449626114
Category :
Languages : en
Pages : 830
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Book Description
Author: Anthony Griffiths
Publisher: WH Freeman
ISBN: 9781464187940
Category : Science
Languages : en
Pages : 0
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Book Description
This is the Solutions manual for Introduction to Genetic Analysis.
Author: Wendy R. Uhlmann
Publisher: John Wiley & Sons
ISBN: 1118210530
Category : Medical
Languages : en
Pages : 647
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Book Description
The first book devoted exclusively to the principles and practice of genetic counseling—now in a new edition First published in 1998, A Guide to Genetic Counseling quickly became a bestselling and widely recognized text, used nationally and internationally in genetic counseling training programs. Now in its eagerly anticipated Second Edition, it provides a thoroughly revised and comprehensive overview of genetic counseling, focusing on the components, theoretical framework, and unique approach to patient care that are the basis of this profession. The book defines the core competencies and covers the genetic counseling process from case initiation to completion—in addition to addressing global professional issues—with an emphasis on describing fundamental principles and practices. Chapters are written by leaders in the field of genetic counseling and are organized to facilitate academic instruction and skill attainment. They provide the most up-to-date coverage of: The history and practice of genetic counseling Family history Interviewing Case preparation and management Psychosocial counseling Patient education Risk communication and decision-making Medical genetics evaluation Understanding genetic testing Medical documentation Multicultural counseling Ethical and legal issues Student supervision Genetic counseling research Professional development Genetics education and outreach Evolving roles and expanding opportunities Case examples A Guide to Genetic Counseling, Second Edition belongs on the syllabi of all medical and human genetics and genetic counseling training programs. It is an indispensable reference for both students and healthcare professionals working with patients who have or are at risk for genetic conditions.
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: Mark Frederick Sanders
Publisher: Benjamin Cummings
ISBN: 9780321948908
Category : Genetics
Languages : en
Pages : 0
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Book Description
&>ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase. Informed by many years of genetics teaching and research expertise, authors Mark Sanders and John Bowman use an integrated approach that helps contextualize three core challenges of learning genetics: solving problems, understanding evolution, and understanding the connection between traditional genetics models and more modern approaches. Genetic Analysis: An Integrated Approach , 2/e is extensively updated with relevant, cutting-edge coverage of modern genetics and is supported by MasteringGenetics, the most widely-used homework and assessment program in genetics. Featuring expanded assignment options, MasteringGenetics complements the book's problem-solving approach, engages students, and improves results by helping them master concepts and problem-solving skills.
Author: Albert L. Lehninger
Publisher: Macmillan
ISBN: 9780716743392
Category : Medical
Languages : en
Pages : 1256
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Book Description
CD-ROM includes animations, living graphs, biochemistry in 3D structure tutorials.
Author: Daniel L. Hartl
Publisher: Jones & Bartlett Learning
ISBN: 9780763735272
Category : Science
Languages : en
Pages : 628
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Book Description
Completely updated to reflect new discoveries and current thinking in the field, the Fourth Edition of Essential Genetics is designed for the shorter, less comprehensive introductory course in genetics. The text is written in a clear, lively, and concise manner and includes many special features that make the book user friendly. Topics were carefully chosen to provide a solid foundation for understanding the basic processes of gene transmission, mutation, expression, and regulation. The text also helps students develop skills in problem solving, achieve a sense of the social and historical context in which genetics has developed, and become aware of the genetic resources and information available through the Internet.
Author: Altuna Akalin
Publisher: CRC Press
ISBN: 1498781861
Category : Mathematics
Languages : en
Pages : 463
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Book Description
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.
