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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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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 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 we start, you are strongly advised to approach Galaxy as a user. You can do this by creating a free account on http://usegalaxy.org, and playing around with it a bit. Getting a level of understanding that includes 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. This will vary in complexity across...

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