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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
Languages
Tools
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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 (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

Introducing Galaxy servers

Galaxy (https://galaxyproject.org/tutorials/g101/) is an open source system that empowers non-computational users to do computational biology. It is the most widely used, user-friendly pipeline system available. Galaxy can be installed on a server by any user, but there are also plenty of other servers on the web with public access, the flagship being http://usegalaxy.org.

Our focus in the following recipes will be the programming side of Galaxy: interfacing using the Galaxy API and developing a Galaxy tool to extend its functionality. Before you start, you are strongly advised to approach Galaxy as a user. You can do this by creating a free account at http://usegalaxy.org, and playing around with it a bit. Reaching a level of understanding that includes knowledge of the workflows is recommended.

Getting ready

In this recipe, we will carry out a local installation of a Galaxy server using Docker. As such, a local Docker installation is required....

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