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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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Table of Contents (12) 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. Bioinformatics Pipelines 9. Python for Big Genomics Datasets 10. Other Topics in Bioinformatics 11. Advanced NGS Processing

Accessing the Global Biodiversity Information Facility via REST


The GBIF (http://www.gbif.org) gives the available information about biodiversity in a programmatic friendly way using a REST API.

In GBIF, we will find evidence of the occurrence of species across the planet, and much of this information is geo-referenced.

In this recipe, we will concentrate on two types of GBIF information: species and occurrences.

Species are actually a more general taxonomic framework, and occurrences record the observations of species.

In this recipe, we will try to extract biodiversity information related to bears. You can find this content in the Chapter10/GBIF.ipynb Notebook.

How to do it...

Let's take a look at the following steps:

  1. First, let's define a function to get the data on REST, as shown in the following code:
import requests

def do_request(service, a1=None, a2=None, a3=None, **kwargs):
    server = 'http://api.gbif.org/v1'
    params = ''
    for a in [a1, a2, a3]:
        if a is not None:
     ...
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