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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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Toc

Table of Contents (11) 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. Other Topics in Bioinformatics 9. Python for Big Genomics Datasets Index

Introduction


Proteomics is the study of proteins that includes the protein 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 resource in the Proteomics field is the Protein Data Bank, 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 genomic databases that we have seen in Chapter 2, Next-generation Sequencing.

In this chapter, we will mostly focus on processing data from the PDB. We will see 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 a later recipe. We will use Biopython and introduce PyMol for...

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