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Bioinformatics with Python Cookbook

You're reading from   Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781782175117
Length 306 pages
Edition 1st Edition
Languages
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Author (1):
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Tiago Antao Tiago Antao
Author Profile Icon Tiago Antao
Tiago Antao
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Table of Contents (16) Chapters Close

Bioinformatics with Python Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Python and the Surrounding Software Ecology FREE CHAPTER 2. Next-generation Sequencing 3. Working with Genomes 4. Population Genetics 5. Population Genetics Simulation 6. Phylogenetics 7. Using the Protein Data Bank 8. Other Topics in Bioinformatics 9. Python for Big Genomics Datasets Index

Modeling complex demographic scenarios


Here, we will show how simuPOP can be extremely flexible on demographic modeling. We will simulate an age-structured population with different fecundity per age for males and different maximum litter size for females. In the middle of the simulation, we will remove all older females. We will study the effective population size across the simulation. Furthermore, we will simulate multiallelic loci this time (for example, simulation of microsatellites).

The removal of a part of the population can model many things; for example, the management of a conserved population in a national park, or the usage of insecticides in vector populations, or modeling the illegal poaching of animals. The applications of this kind of modeling are plenty.

Getting ready

We will have three age groups. The first age group will not be able to reproduce (modeling infants). The two older age groups can. Males of age two have twice the chance of mating than males of age three. Females...

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