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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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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

Deploying a variant analysis pipeline with Nextflow

There are two main players in the pipeline framework space in bioinformatics: snakemake and Nextflow. They provide pipeline functionality whilst having different design approaches. Snakemake is based on Python, but its language and philosophy come from the make tool used to compile complex programs with dependencies. Nextflow is Java-based (more precisely, it’s implemented in Groovy – a language that works on top of the Java Virtual Machine) and has its own Domain Specific Language (DSL) for implementing pipelines. The main purpose of this recipe (and the previous recipe) is to give you a flavor of Nextflow so that you can compare it with snakemake and choose the one that better suits your needs.

TIP

There are many perspectives on how to evaluate a pipeline system. Here, we present a perspective based on the language used to specify the pipeline. However, there are others that you should consider when choosing...

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