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Bioinformatics with Python Cookbook

You're reading from   Bioinformatics with Python Cookbook Use modern Python libraries and applications to solve real-world computational biology problems

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803236421
Length 360 pages
Edition 3rd Edition
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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 (15) Chapters Close

Preface 1. Chapter 1: Python and the Surrounding Software Ecology 2. Chapter 2: Getting to Know NumPy, pandas, Arrow, and Matplotlib FREE CHAPTER 3. Chapter 3: Next-Generation Sequencing 4. Chapter 4: Advanced NGS Data Processing 5. Chapter 5: Working with Genomes 6. Chapter 6: Population Genetics 7. Chapter 7: Phylogenetics 8. Chapter 8: Using the Protein Data Bank 9. Chapter 9: Bioinformatics Pipelines 10. Chapter 10: Machine Learning for Bioinformatics 11. Chapter 11: Parallel Processing with Dask and Zarr 12. Chapter 12: Functional Programming for Bioinformatics 13. Index 14. Other Books You May Enjoy

Phylogenetics

Phylogenetics is the application of molecular sequencing that is used to study the evolutionary relationship among organisms. The typical way to illustrate this process is through the use of phylogenetic trees. The computation of these trees from genomic data is an active field of research with many real-world applications.

In this book, we will take the practical approach that is mentioned to a new level: most of the recipes here are inspired by a recent study on the Ebola virus, researching the recent Ebola outbreak in Africa. This study is called Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak, by Gire et al., published in Science. It is available at https://pubmed.ncbi.nlm.nih.gov/25214632/. Here, we will try to follow a similar methodology to arrive at similar results to the paper.

In this chapter, we will use DendroPy (a phylogenetics library) and Biopython. The bioinformatics_phylo Docker image includes all the...

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