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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 Jun 2015
Publisher
ISBN-13 9781782175117
Length 306 pages
Edition 1st 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 (16) Chapters Close

Bioinformatics with Python Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
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. Other Topics in Bioinformatics 9. Python for Big Genomics Datasets Index

Playing recursively with trees


This is not a book about programming on Python as the topic is vast. Having said that, it's not common for introductory Python books to discuss recursive programming at length. Recursive programming techniques are usually well tailored to deal with trees. They are also a common programming strategy with functional programming dialects, which can be quite useful when you perform concurrent development, which you can perform when processing very large datasets.

The phylogenetic notion of a tree is slightly different from computer science. Phylogenetic trees can be rooted (then they are normal tree data structures) or unrooted, making them undirected acyclic graphs. Phylogenetic trees can also have weights in their edges. Thus, be mindful of this when you read the documentation; if text is written by a phylogeneticist, you can expect the tree (rooted and unrooted), while most other documents will use undirected acyclic graphs for unrooted trees. Having said that...

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