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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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Toc

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

Retrieving gene ontology information from Ensembl


In this recipe, we will introduce the usage of gene ontology information again by querying the Ensembl REST API. Gene ontologies are controlled vocabularies to annotate gene and gene products. These are made available as trees of concepts (with more general concepts near the top of the hierarchy). There are three domains for gene ontologies: cellular component, molecular function, and biological process.

Getting ready

As with the previous recipe, we do not require any predownloaded data, but as we are using web APIs, Internet access will be needed. The amount of data transferred will be limited.

As usual, you can find this content on the 02_Genomes/Gene_Ontology.ipynb notebook.

We will make use of the do_request function, which is defined in the first step of the previous recipe (Finding Orthologues with the REST Ensembl API).

To draw GO trees, we will use pygraphviz, a graph drawing library.

How to do it...

Let's take a look at the following steps...

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