Book Image

Bioinformatics with Python Cookbook - Third Edition

By : Tiago Antao
Book Image

Bioinformatics with Python Cookbook - Third Edition

By: Tiago Antao

Overview of this book

Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data, and this book will show you how to manage these tasks using Python. This updated third edition of the Bioinformatics with Python Cookbook begins with a quick overview of the various tools and libraries in the Python ecosystem that will help you convert, analyze, and visualize biological datasets. Next, you'll cover key techniques for next-generation sequencing, single-cell analysis, genomics, metagenomics, population genetics, phylogenetics, and proteomics with the help of real-world examples. You'll learn how to work with important pipeline systems, such as Galaxy servers and Snakemake, and understand the various modules in Python for functional and asynchronous programming. This book will also help you explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks, including Dask and Spark. In addition to this, you’ll explore the application of machine learning algorithms in bioinformatics. By the end of this bioinformatics Python book, you'll be equipped with the knowledge you need to implement the latest programming techniques and frameworks, empowering you to deal with bioinformatics data on every scale.
Table of Contents (15 chapters)

Extracting genes from a reference using annotations

In this recipe, we will learn how to extract a gene sequence with the help of an annotation file to get its coordinates against a reference FASTA. We will use the Anopheles gambiae genome, along with its annotation file (as per the previous two recipes). First, we will extract the voltage-gated sodium channel (VGSC) gene, which is involved in resistance to insecticides.

Getting ready

If you have followed the previous two recipes, you will be ready. If not, download the Anopheles gambiae FASTA file, along with the GTF file. You also need to prepare the gffutils database:

import gffutils
import sqlite3
try:
    db = gffutils.create_db('gambiae.gff.gz', 'ag.db')
except sqlite3.OperationalError:
    db = gffutils.FeatureDB('ag.db')

As usual, you will find all of this in the Chapter05/Getting_Gene.py notebook file.

How to do it...

Follow these steps...