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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

Simulating the coalescent with Biopython and fastsimcoal


While there is a native Python coalescent simulator called CoaSim, this is a very old application that does not run on modern Python versions. As such, if you want to do coalescent simulations with Python, Biopython offers a wrapper to fastsimcoal and the older simcoal.

Here, we will generate some configuration files for fastsimcoal with the demographic and genomic information. We will also run the coalescent simulator from Python.

Getting ready

You will need to obtain fastsimcoal from http://cmpg.unibe.ch/software/fastsimcoal2/. If you are using the Docker image, this is taken care of for you.

If you are using notebooks, this content is in 04_PopSim/Coalescent.ipynb.

How to do it…

Take a look at the following steps:

  1. Let's start by taking a look at the available demographic models:

    import os
    from Bio.PopGen import SimCoal as simcoal
    print(simcoal.builtin_tpl_dir)
    print(os.listdir(simcoal.builtin_tpl_dir))
    • This will print a directory where templates...

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