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Bioinformatics with Python Cookbook

You're reading from   Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789344691
Length 360 pages
Edition 2nd Edition
Languages
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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 (12) Chapters Close

Preface 1. Python and the Surrounding Software Ecology 2. Next-Generation Sequencing FREE CHAPTER 3. Working with Genomes 4. Population Genetics 5. Population Genetics Simulation 6. Phylogenetics 7. Using the Protein Data Bank 8. Bioinformatics Pipelines 9. Python for Big Genomics Datasets 10. Other Topics in Bioinformatics 11. Advanced NGS Processing

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 like Plasmodium falciparum, with a 22 Mbp spread across 14 chromosomes, mitochondrion, and apicoplast, to the fruit fly with three autosomes, a mitochondrion, and X...

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