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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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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

Functional Programming for Bioinformatics

Python is a multi-paradigm language that allows you to express computations in multiple different ways. It is sometimes called an object-oriented (OO) language: sure, you can write code in an OO dialect, but you can also use other styles. Most code in Python is written in an imperative style: there is no structuring along a class hierarchy, as typical of the OO paradigm, and most code changes state that, for example, if you write x = x + 1, you are changing the state of variable x.

If you write complex code, especially code that requires parallel processing, imperative and OO paradigms will hit some limits. For simple scripts that run on a single machine, imperative and OO styles will do fine, but bioinformatics is a big-data enterprise, and you will often need to scale up and scale out, as there is lots of information to process, and many algorithms are computationally heavy.

Functional programming is quite useful for the complex and...

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