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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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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

Using Mendelian error information for quality control


So, how can we infer the quality of calls using Mendelian inheritance rules? Let's look at expectations for different genotypical configurations of the parents:

  • For a certain potential bi-allelic SNP, if the mother is AA and the father is also AA, then all offspring will be AA.
  • If the mother is AA and the father TT, then all offspring will have to be heterozygous (AT). They always get an A from the mother and they always get a T from the father.
  • If the mother is AA and the father is AT, then offspring can be either AA or AT. They always get the A from the mother, but they can get either an A or a T from the father.
  • If the both the mother and the father are heterozygous (AT), then the offspring can be anything. In theory, there is not much we can do here.

In practice, we can ignore mutations, which is safe to do with most eukaryotes. The number of mutations (noise, from our perspective) is several orders of magnitude lower than the signal we...

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