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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 2. Next-Generation Sequencing FREE CHAPTER 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

Introducing forward-time simulations

We will start with a simple recipe to code the bare minimum with simuPOP. simuPOP is probably the most flexible and powerful forward-time simulator available, and it's Python-based. You will be able to simulate almost anything in terms of demography and genomics, save for complex genome structural variation (for example, inversions or translocations).

Getting ready

simuPOP programming may appear difficult, but it will make sense if you understand its event-oriented model. As you might expect, there is a meta-population composed of individuals with a predefined genomic structure. Starting with an initial population that you prepare, a set of initial operators is applied. Then,...

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