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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

Dealing with low-quality genome references

Unfortunately, not all reference genomes will have the quality of Plasmodium falciparum. Apart from some model species (for example, humans, or the common fruit fly Drosophila melanogaster) and a few others, most reference genomes could use some improvement. In this recipe, we will learn how to deal with reference genomes of lower quality.

Getting ready

In keeping with the malaria theme, we will use the reference genomes of two mosquitoes that are vectors of malaria: Anopheles gambiae (which is the most important vector of malaria and can be found in Sub-Saharan Africa) and Anopheles atroparvus, a malaria vector in Europe (while the disease has been eradicated in Europe, this vector is still around). The Anopheles gambiae genome is of reasonable quality. Most chromosomes have been mapped, although the Y chromosome still needs some work. There is a fairly large unknown chromosome, probably composed of bits of X and Y chromosomes, as well...

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