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Cover

Population Genetics with R

An Introduction for Life Scientists

Áki Jarl Láruson and Floyd Allan Reed

February 2021

ISBN: 9780198829546

224 pages
Paperback
240x168mm

In Stock

Price: £34.99

This book focuses on applying the hugely popular R software specifically to the field, offering an accessible, step-by-step guide to tackling the challenges of achieving effective data interpretation and summary.

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Description

This book focuses on applying the hugely popular R software specifically to the field, offering an accessible, step-by-step guide to tackling the challenges of achieving effective data interpretation and summary.

  • Introduces the analysis of population genetic data using R and RStudio
  • Adopts an accessible, step-by-step approach in tackling the specific key challenges of population genetic data interpretation and summary
  • Encourages a strong foundation in basic programming skills that will help to enhance understanding of key concepts in population genetics
  • Utilizes both real world and theoretical datasets which are fully accessible online

About the Author(s)

Áki Jarl Láruson, Postdoctoral Researcher, Department of Natural Resources, Cornell University, USA, and Floyd Allan Reed, Associate Professor, Department of Biology, University of Hawaii at Manoa, USA

Áki Jarl Láruson is a Postdoctoral Associate at Department of Natural Resources, Cornell University, USA. His original research focus was marine invertebrate zoology, but in an effort to understand the analytical approaches necessary for marine biology work, he has found himself more and more focused on molecular evolution theory and analysis.

Floyd Allan Reed is Associate Professor at the Department of Biology, University of Hawaii at Manoa, USA, where he teaches upper division undergraduate genetics, and graduate level population genetics courses. His research interests include aspects of human evolution and engineering safe and reversible gene drive systems for vector transmitted disease eradication.

Table of Contents

    1:Learning Through Programming
    2:Downloading and Installing R
    3:Basic Commands in R
    4:Allele and Genotype Frequencies
    5:Statistical Tests and Algorithms
    6:Genetic Variation
    7:Adaptation and Natural Selection
    8:Population Differences
    9:Pointing the Way to Additional Topics

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