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Bioinformatics with Python Cookbook

Bioinformatics with Python Cookbook

By : Tiago R Antao, Tiago Antao
4.7 (6)
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Bioinformatics with Python Cookbook

Bioinformatics with Python Cookbook

4.7 (6)
By: Tiago R Antao, Tiago Antao

Overview of this book

If you have intermediate-level knowledge of Python and are well aware of the main research and vocabulary in your bioinformatics topic of interest, this book will help you develop your knowledge further.
Table of Contents (11 chapters)
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10
Index

Simulating selection

We will now perform an example of simulating selection with simuPOP. We will perform a simple case with dominant mutation on a single loci and also a complex case with two loci using epistatic effects. The epistatic effect will have a mutation on an SNP. This is required to confer advantage and another mutation on another SNP that adds up to the previous one (but does nothing on its own); this was inspired by the very real case of malaria resistance to the sulfadoxine/pyrimethamine drug, which always requires a mutation on the DHFR gene, which can be enhanced with a mutation on the DHPS gene; if you are interested in knowing more, refer to the Origin and Evolution of Sulfadoxine Resistant Plasmodium falciparum article from Vinayak et al on PLoS Pathogens at http://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1000830.

Getting ready

Read the previous recipe (Introducing forward-time simulations) as it will introduce the basic programming framework. If...

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