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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

Comparing sequences

Here, we will compare aligned sequences. We will perform gene and genome-wide comparisons.

Getting ready

We will use DendroPy and will require the results from the previous two recipes. As usual, this information is available in the corresponding Notebook at Chapter06/Comparison.ipynb.

How to do it...

Take a look at the following steps:

  1. Let's start analyzing the gene data. For simplicity, we will only use the data from two other species of the genus Ebola virus that are available in the extended dataset: the Reston virus (RESTV) and the Sudan...
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