Solutions Manual For An Introduction To Genetic Analysis
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Author | : Anthony Griffiths |
Publisher | : WH Freeman |
Total Pages | : 0 |
Release | : 2018-03-07 |
Genre | : Science |
ISBN | : 9781464187940 |
This is the Solutions manual for Introduction to Genetic Analysis.
Author | : David Scott |
Publisher | : Macmillan |
Total Pages | : 862 |
Release | : 2010-12-24 |
Genre | : Science |
ISBN | : 1429232552 |
Since its inception, Introduction to Genetic Analysis (IGA) has been known for its prominent authorship including 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. Visit the preview site at www.whfreeman.com/IGA10epreview
Author | : |
Publisher | : |
Total Pages | : 675 |
Release | : 1999 |
Genre | : Molecular genetics |
ISBN | : 9780716735977 |
Author | : Mark F. Sanders |
Publisher | : Pearson Higher Ed |
Total Pages | : 890 |
Release | : 2016-03-08 |
Genre | : Science |
ISBN | : 1292092378 |
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 | : Anthony J. F. Griffiths |
Publisher | : |
Total Pages | : |
Release | : 2020-11-13 |
Genre | : |
ISBN | : 9781319401399 |
Author | : Daniel L. Hartl |
Publisher | : Jones & Bartlett Publishers |
Total Pages | : 830 |
Release | : 2012 |
Genre | : |
ISBN | : 1449626114 |
Author | : Jurg Ott |
Publisher | : JHU Press |
Total Pages | : 418 |
Release | : 1999-04-16 |
Genre | : Medical |
ISBN | : 9780801861406 |
Introduction and basic genetic principles; Genetic loci genetic polymorphisms; Aspects of statistical inference; Basics of linkage analysis; The informativeness of family data; Multipoint linkage analysis; Penetrance; Quantitative phenotypes; Numerical and computerized methods; Variability of the recombination fraction; Inconsistencies; Linkage analysis with mendelian disease loci; Nonparametric methods; Two-locus inheritance; Complex traits.
Author | : William Fixen |
Publisher | : Macmillan |
Total Pages | : 388 |
Release | : 2008 |
Genre | : Science |
ISBN | : 9781429201773 |
The solutions mega manual contains complete worked-out solutions to all the problems in the textbook. Used in conjunction with the main text, this manual is one of the best ways to develop a fuller appreciation of genetic principles.
Author | : David A. Micklos |
Publisher | : |
Total Pages | : 0 |
Release | : 2013 |
Genre | : Eukaryotic cells |
ISBN | : 9780879698591 |
This textbook combines approachable narrative with extensively tested lab exercises that illustrate key concepts of genome biology in humans, invertebrates, and plants. Nineteen labs, organized into four chapters, engage students with both bioinformatics exercises and in vitro experiments. Each chapter also includes an extensive introduction that provides an historical and conceptual framework.
Author | : Pang-Ning Tan |
Publisher | : Pearson Education India |
Total Pages | : 781 |
Release | : 2016 |
Genre | : |
ISBN | : 9332586055 |
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Each major topic is organized into two chapters, beginni