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Bioinformatics with Python Cookbook
book

Bioinformatics with Python Cookbook

by Tiago Antao
June 2015
Intermediate to advanced
306 pages
6h 50m
English
Packt Publishing
Content preview from Bioinformatics with Python Cookbook

Chapter 4. Population Genetics

In this chapter, we will cover the following recipes:

  • Managing datasets with PLINK
  • Introducing the Genepop format
  • Exploring a dataset with Bio.PopGen
  • Computing F-statistics
  • Performing Principal Components Analysis
  • Investigating population structure with Admixture

Introduction

Population genetics is the study of changes of frequency of alleles in a population on the basis of selection, drift, mutation, and migration. The previous chapters focused mainly on data processing and cleanup; this is the first chapter in which we will actually infer interesting biological results.

There is a lot of interesting population genetics analysis based on sequence data, but as we already have quite a few recipes to deal with sequence data, ...

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Publisher Resources

ISBN: 9781782175117