Genetic Data Analysis II details the statistical methodology needed to draw inferences from discrete genetic data. An emphasis is given to permutation tests, and developments in phylogenetic tree construction are reviewed.

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.

Starting with the basic idea of estimating gene frequencies and proceeding through a range of topics to the building of phylogenetic trees, the volume contains the tools for analyzing genetic data on morphological characters, isozyme ...

Thethird edition of this acclaimed textincludes new features and revisions whilst retaining the strengths of the original.

This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular ...

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.

The Handbook of Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years.

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research.