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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

Introduction


Proteomics is the study of proteins, including their function and structure. One of the main objectives of this field is to characterize the 3D structure of proteins. One of the most widely known computational resources in the proteomics field is the Protein Data Bank (PDB), a repository with structural data of large biomolecules. Of course, there are also many databases that focus instead on protein primary structure; these are somewhat similar to the genomic databases that we saw in Chapter 2, Next-Generation Sequencing.

In this chapter, we will mostly focus on processing data from the PDB. We will look at how to parse PDB files, perform some geometric computations, and visualize molecules. We will use the old PDB file format because, conceptually, it allows you to perform most necessary operations in a stable environment. Having said that, the newer mmCIF slated to replace the PDB format will also be presented in the Parsing the mmCIF files with Biopython recipe. We will use...

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