Bioinformatics with Python Cookbook

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.

Type
ebook
Category
publication date
2022-09-27
what you will learn

Become well-versed with data processing libraries such as NumPy, pandas, arrow, and zarr in the context of bioinformatic analysis
Interact with genomic databases
Solve real-world problems in the fields of population genetics, phylogenetics, and proteomics
Build bioinformatics pipelines using a Galaxy server and Snakemake
Work with functools and itertools for functional programming
Perform parallel processing with Dask on biological data
Explore principal component analysis (PCA) techniques with scikit-learn

no of pages
360
duration
720
key features
Perform complex bioinformatics analysis using the most essential Python libraries and applications * Implement next-generation sequencing, metagenomics, automating analysis, population genetics, and much more * Explore various statistical and machine learning techniques for bioinformatics data analysis
approach
With a recipe-based approach, this book will help you to deal with computationally intensive bioinformatics applications, effectively.
audience
This book is for bioinformatics analysts, data scientists, computational biologists, researchers, and Python developers who want to address intermediate-to-advanced biological and bioinformatics problems. Working knowledge of the Python programming language is expected. Basic knowledge of biology will also be helpful.
meta description
Discover modern, next-generation sequencing libraries from the powerful Python ecosystem to perform cutting-edge research and analyze large amounts of biological data
short description
Using the hands-on recipes in this book, you'll be able to apply your learning to research and analysis in computational biology with Python. You’ll understand modern, practical applications of bioinformatics using popular programming techniques and frameworks. This will equip you to efficiently deal with the ever-increasing deluge of bioinformatics data.
subtitle
Use modern Python libraries and applications to solve real-world computational biology problems
keywords
Bioinformatics, big data, biological data, computational biology, genomics, biopython
Product ISBN
9781803236421