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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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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

Accessing Galaxy using the API

While Galaxy’s main use case is via an easy-to-use web interface, it also provides a REST API for programmatic access. There are interfaces provided in several languages, for example, Python support is available from BioBlend (https://bioblend.readthedocs.io).

Here, we are going to develop a script that will load a BED file into Galaxy and call a tool to convert it to GFF format. We will load the file using Galaxy’s FTP server.

Getting ready

If you did not go through the previous recipe, please read the corresponding There’s more... section. The code was tested in a local server, as prepared in the preceding recipe, so it might require some adaptations if you run it against a public server.

Our code will need to authenticate itself against the Galaxy server in order to perform the necessary operations. Because security is an important issue, this recipe will not be totally naive with regard to it. Our script will be configured...

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