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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

Animating with PyMOL

Here, we will create a video of the p53 1TUP model. For that, we will use the PyMOL visualization library. We will start our animation by moving around the p53 1TUP model and then zooming in; as we zoom in, we change the rendering strategy so that you can see deeper into the model. You can find a version of the video that you will generate at https://odysee.com/@Python:8/protein_video:8.

Getting ready

This recipe will be presented as a Python script, not as a Notebook. This is mostly because the output is not interactive, but a set of image files that will need further post-processing.

You will need to install PyMOL (http://www.pymol.org). On Debian, Ubuntu, or Linux, you can use the apt-get install pymol command. If you are on Conda, I suggest not using it, as the dependencies will be easy to resolve – furthermore, you will be installing a 30-day-trial-only version requiring a license, whereas the version above is fully open source. If you are...

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