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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 Nov 2018
Publisher Packt
ISBN-13 9781789344691
Length 360 pages
Edition 2nd 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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Toc

Table of Contents (12) Chapters Close

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. Bioinformatics Pipelines 9. Python for Big Genomics Datasets 10. Other Topics in Bioinformatics 11. Advanced NGS Processing

Modeling complex demographic scenarios

Here, we will show you how simuPOP can be extremely flexible for demographic modeling. We will simulate an age-structured population with different fecundity per age for males and different maximum litter sizes 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, for the 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.

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