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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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Toc

Table of Contents (12) Chapters Close

Preface 1. Python and the Surrounding Software Ecology FREE CHAPTER 2. Next-Generation Sequencing 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

Developing a Galaxy tool


Galaxy is mostly a very advanced workflow engine with an easy-to-use interface. Concrete work is delegated to tools. Here, we will learn how to develop a basic tool. The fundamental objective of this chapter is to demonstrate how easy it is to develop a tool; it might seem daunting, but really it is not. The Galaxy developers made sure that all the boilerplate work is done by a tool called Planemo (https://planemo.readthedocs.io). Planemo is very well-documented, and this recipe should be seen as a starting point; Planemo's documentation is the end point. Again, our main objective here is to gain confidence that tool development is accessible for all who want to do it.

Getting ready

Strictly speaking, tool development is language-agnostic. Many tools are actually just wrappers for existing applications; no Python code involved. But Python is well-suited to tool development, especially because Galaxy is implemented in Python, so it's the best choice for tool development...

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