Pedigree Analysis in R
eBook - ePub

Pedigree Analysis in R

  1. 184 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Pedigree Analysis in R

Book details
Table of contents
Citations

About This Book

Pedigree Analysis in R gives an introduction to the theory of relatedness and covers a range of applications in forensic and medical genetics. The book's material was developed through teaching courses on genetic relatedness, pedigree analysis and R, and offers insights from a decade of research activities in forensic and medical genetics. The R code in the book uses the ped suite, a unified collection of packages for pedigree analysis, developed by the author. All code examples are given in full, allowing accurate reproduction of figures and results. At the end of each chapter, a selection of exercises encourages the reader to explore further and perform their own analyses.

  • Introduction to the theory of genetic relatedness, richly illustrated with classic and novel examples
  • In-depth case studies including kinship testing, pedigree reconstruction, linkage analysis and clinical segregation analysis
  • Easy-to-follow R code with explanations
  • Based on the ped suite packages for pedigree analysis in R
  • Suitable for R users at all levels, including complete beginners
  • Exercises after each chapter

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Yes, you can access Pedigree Analysis in R by Magnus Dehli Vigeland in PDF and/or ePUB format, as well as other popular books in Law & Forensic Science. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2021
ISBN
9780128245606
Topic
Law
Subtopic
Forensic Science
Index
Law

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Preface
  6. Biography
  7. Chapter 1: Prerequisites
  8. Chapter 2: Pedigrees and Marker Data
  9. Chapter 3: Coefficients of Relatedness
  10. Chapter 4: Realised Relatedness
  11. Chapter 5: Probabilities on Pedigrees
  12. Chapter 6: Kinship Testing
  13. Chapter 7: Inference of Pairwise Relatedness
  14. Chapter 8: Pedigree Reconstruction
  15. Chapter 9: Linkage Analysis
  16. Chapter 10: Segregation Analysis for Variant Interpretation
  17. Bibliography