Bioinformatics with Python Cookbook: Solve advanced computational biology problems and build production pipelines with Python and AI tools 4th ed. Edition-电子书百科大全

Bioinformatics with Python Cookbook: Solve advanced computational biology problems and build production pipelines with Python and AI tools 4th ed. Edition book cover

Bioinformatics with Python Cookbook: Solve advanced computational biology problems and build production pipelines with Python and AI tools 4th ed. Edition

Author(s): Shane Brubaker (Author)

Publisher: Packt Publishing
Publication Date: December 19, 2025
Edition: 4th ed.
Language: English
Print length: 618 pages
ISBN-10: 183664275X
ISBN-13: 9781836642756

Book Description

Enhance your bioinformatics toolbox with practical Python recipes, tips, and tricks for key tasks like aligning sequence data, calling variants, and building Infrastructure as Code

Key Features

Perform sequence analysis at primary, secondary, and tertiary levels using Python libraries
Solve real-world problems in the fields of phylogenetics, protein design, and annotation
Use language models and other AI techniques to work with multimodal bioinformatics data
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

If you've ever felt overwhelmed by the vast number of Python tools available for bioinformatics, you're not alone. The Bioinformatics with Python Cookbook is a recipe-based guide that explores practical approaches for solving classic bioinformatics challenges, showing you which Python packages work best for each task.

You’ll start with the essential Python libraries for data science and bioinformatics, then move through key workflows in sequencing analysis, quality control, alignment, and variant calling. Along the way, you’ll pick up modern coding practices, explore recent advances in bioinformatics research, and gain hands-on experience with libraries such as NumPy, pandas, and sci-kit learn. This book walks you through core bioinformatics tasks such as phylogenetic analysis and population genomics while familiarizing you with the wealth of modern public bioinformatics databases. You’ll learn cloud computing approaches used by researchers, set up workflow orchestration systems for controlling bioinformatics pipelines, and see how AI and the use of large language models (LLMs) are reshaping the field–right down to designing proteins and DNA.

By the end of this book, you’ll be ready to apply Python for real bioinformatics work and launch bioinformatics pipelines for your research.

What you will learn

Process, analyze, and align sequencing data
Call variants and interpret their biological meaning
Use modern cloud infrastructure to launch bioinformatics workflows
Ingest, clean, and transform data efficiently
Explore how AI is shaping the future of bioinformatics
Leverage imaging data for biological insights
Apply single-cell sequencing to cluster and compare gene expression

Who this book is for

This book is for early- to mid-level practitioners in bioinformatics, data science, and software engineering who want to improve their skills and apply practical solutions to real-world problems. You should have a basic understanding of biology, including DNA, proteins, and cell structure, as well as Python programming and software engineering techniques. While prior exposure to machine learning with Python is not essential, experience with a cloud computing platform (AWS, GCP, or Azure) will be helpful.

Computer Specifications and Python Setup
Basics of Data Manipulation
Modern Coding Practices and AI-Generated Coding
Data Science and Graphing
Alignment and Variant Calling
Annotation and Biological Interpretation
Genomes and Genome Assembly
Accessing Public Databases
Protein Structure and Proteomics
Phylogenetics
Population Genetics
Metabolic Modeling and Other Applications
Genome Editing
Cloud Basics
Workflow Systems
More Workflow Systems
Deep Learning and LLMs for Nucleic Acid and Protein Design
Single-Cell Technology and Imaging

Editorial Reviews

Review

“Bioinformatics with Python Cookbook is a highly practical and contemporary guide for bioinformaticians engineering in a rapidly evolving field. It provides a clear overview of modern software engineering practices in genomics, including the effective use of AI-assisted coding. This book serves as an excellent single resource that contextualizes today’s omics tool landscape and offers pragmatic solutions for exploring and operationalizing these modalities.”

David Williamson, Senior Director of Bioinformatics Solutions, Strand Life Sciences

“An excellent hands-on introduction to bioinformatics that is perfectly timed for this new AI era. In addition to all the updated real-world examples, I loved the great intro to using AI in bioinformatics and the AI tips scattered throughout that go far beyond just generating code. I highly recommend this book both for those new students and bioinformatics old-timers alike. There’s much to learn here for all of us!”

Michael Sneddon, Bioinformatician and Director of Scientific Computing at Predicine

“This cookbook is an excellent example of a practical guide that takes readers with some foundational knowledge and walks them through typical interconnected bioinformatics pipelines. It presents rich pipeline examples that are clearly laid out and patiently explained, with expert guidance that builds a deep understanding of the underlying methods. For those transitioning from another programming discipline it dispels the jargon unique to biology into concise language and helps to connect trusted resources to dive into more content. The examples are not only highly relevant but ones that require proper mentorship in crafting the right multi-step workflows.”

Eric Harness, Scientist, R&D Leader, and Senior Director of US Genomics Services

“...a delightful and thorough instruction on many relevant topics in modern bioinformatics. The book carries the reader through each step needed to complete the analysis, from environment setup, to imports, to final results and interpretation. With this book, you will be able to immediately start working on real world bioinformatics projects!”

Kyle Covington, Computational Biologist | Genomic Medicine Innovator | Cancer Researcher and Director of Bioinformatics at Castle Biosciences

“Throughout the book, Shane includes "AI Tips" - practical prompts for taking concepts further. For juniors entering the field, these shortcuts are worth the price of the book alone.

If you're hiring developers who need to understand cloud infrastructure, workflow orchestration, or AI-assisted coding - point them here.”

Kuldeep Tanwar, AI Founder & Educator | Founder of Riseops.ai and MetaSolve

About the Author

Shane Brubaker is a bioinformatics manager living in California. He believes in the power of bioinformatics as an interdisciplinary science to save lives and transform society. Shane has applied bioinformatics in areas ranging from synthetic biology to human health. Over the years, he has taught courses in computer science and biology, co-founded BayBifx, a leading Bay Area bioinformatics networking event, and mentored many bioinformatics professionals. Shane is passionate about training and providing opportunities for the next generation of scientists.

View on Amazon

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