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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 FREE CHAPTER 2. Next-Generation Sequencing 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

Computing F-statistics

Nearly 100 years ago, Sewall Wright developed F-statistics to quantify inbreeding effects at a certain level of population subdivision. FST is the most widely used of these statistics and is mostly interpreted as the genetic variation caused by the population structure.

Getting ready

You will need to have run the first two recipes and should have the hapmap10_auto_noofs_2.gp and hapmap10_auto_noofs_2.pops files downloaded. We will also use the metadata file that we downloaded in the first recipe. For the type of comparison that we will perform here, it's important to assure that there is little relatedness among sampled individuals, so we want to remove the offspring at the very least. For efficiency...

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