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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

Plotting protein interactions with Cytoscape the hard way


Cytoscape (http://cytoscape.org/) is a platform to visualize molecular interaction networks. Here, we will interact with Cytoscape using a REST interface. There are easier ways to perform this recipe, but we will take this opportunity to continue interacting with the PSICQUIC service. Also, we will exercise the NetworkX graph processing library (https://networkx.github.io/), which will be useful on its own.

Taking a page from Chapter 7, Using the Protein Data Bank, we will plot p53 interactions stored in the UniProt database.

Getting ready

You will need to install the Cytoscape version 3.2.1 (or higher), which will require Java 7 or preferably 8. You will also need the cyREST application in Cytoscape (see the Apps main menu in Cytoscape for this). The code will use a REST interface to communicate with Cytoscape, so it will run outside it, but it will require Cytoscape to be running, so start Cytoscape with cyREST before running the...

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