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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

Working with Genomes

Many tasks in computational biology are dependent on the existence of reference genomes. If you are performing sequence alignment, finding genes, or studying the genetics of populations, you will be directly or indirectly using a reference genome. In this chapter, we will develop some recipes for working with reference genomes and dealing with references of varying quality, which can range from high quality (by high quality, we only refer to the state of the genome’s assembly, which is the focus of this chapter), as with the human genome, to problematic with non-model species. We will also learn how to deal with genome annotations (working with databases that will point us to interesting features in the genome) and extract sequence data using the annotation information. We will also try to find some gene orthologs across species. Finally, we will access a Gene Ontology (GO) database.

In this chapter, we will cover the following recipes:

  • Working...
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