Coding Genetics (The book + code samples for exercises + data sets)
A course on population genetics and R
About the Book
The genomics revolution has made mathematical models and computer programming of genetic processes indispensable aspects of biological knowledge. 'Coding Genetics' helps you to obtain this knowledge. After going over the basics of programming with R, it introduces the dynamics and analysis of population genetics and shows how to write models that describe these systems with R.
The book is thus, on the one hand, a guide to computer programming that will help you develop and analyse models and, on the other hand, a textbook of population genetics. It will help you, whether you would like to learn to program (and to do so with important biological questions rather than with dry principles) or whether you already know some programming, and would like to use your knowledge to learn about one of the fundamental areas of biology: the genetics of populations.
The book + code samples for exercises + data sets
The book, samples R-scripts for the exercises, and the data sets used in the third section
Essentials of R
- Installing R and an R interface
- Getting started: R as a calculator
- What if we want to store the results of our calculations?
- Object types
- Data frames
- Control structures
- Simple plots
Dynamics of population genetics
- An example: sickle cell anaemia
- Hardy-Weinberg equilibrium: a null model for population genetics
- Genetic drift
- Non-random mating
- Two-locus genetics
Analysis of genetic patterns
- Allele frequencies
- Spatial structure and genetic drift
- Signature of selection
- Genomic relationships
- Essentials of R
- Dynamics of genes
- Analysis of genetic patterns
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