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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

Working with high-quality reference genomes

In this recipe, you will learn about a few general techniques to manipulate reference genomes. As an illustrative example, we will study the GC content – the fraction of the genome that is based on guanine-cytosine in Plasmodium falciparum, the most important parasite species that causes malaria. Reference genomes are normally made available as FASTA files.

Getting ready

Organism genomes come in widely different sizes, ranging from viruses such as HIV, which is 9.7 kbp, to bacteria such as E. coli, to protozoans such as Plasmodium falciparum, which has a 22 Mbp spread across 14 chromosomes, mitochondrion, and apicoplast, to the fruit fly with three autosomes, a mitochondrion, and X/Y sex chromosomes, to humans with their three Gbp pairs spread across 22 autosomes, X/Y chromosomes, and mitochondria, all the way up to Paris japonica, a plant with 150 Gbp of the genome. Along the way, you have different ploidy and sex chromosome...

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