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Bioinformatics with Python Cookbook
Bioinformatics with Python Cookbook

Bioinformatics with Python Cookbook: Solve advanced computational biology problems and build production pipelines with Python & AI tools , Fourth Edition

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Profile Icon Shane Brubaker
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Early Access Early Access Publishing in Oct 2025
€18.99 per month
Paperback Oct 2025 617 pages 4th Edition
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Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Shane Brubaker
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Early Access Early Access Publishing in Oct 2025
€18.99 per month
Paperback Oct 2025 617 pages 4th Edition
Subscription
Free Trial
Renews at €18.99p/m
Subscription
Free Trial
Renews at €18.99p/m

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Table of content icon View table of contents Preview book icon Preview Book

Bioinformatics with Python Cookbook

Bioinformatics with Python Cookbook, Fourth Edition: Solve advanced computational biology problems and build production pipelines with Python & AI tools

Welcome to Packt Early Access. We’re giving you an exclusive preview of this book before it goes on sale. It can take many months to write a book, but our authors have cutting-edge information to share with you today. Early Access gives you an insight into the latest developments by making chapter drafts available. The chapters may be a little rough around the edges right now, but our authors will update them over time.You can dip in and out of this book or follow along from start to finish; Early Access is designed to be flexible. We hope you enjoy getting to know more about the process of writing a Packt book.

  1. Chapter 1: Computer Specification and Python Setup
  2. Chapter 2: Basics of Data Manipulation
  3. Chapter 3: Modern Coding Practices and AI generated Coding
  4. Chapter 4: Data Science and Graphing
  5. Chapter 5: Alignment and Variant Calling
  6. Chapter 6: Annotation and Biological Interpretation
  7. Chapter 7: Genomes and Genome Assembly
  8. Chapter 8: Nucleic Acid Database
  9. Chapter 9: Protein Databases
  10. Chapter 10: Phylogenetics
  11. Chapter 11: Population Genomics
  12. Chapter 12: Metabolic Modeling and Other Applications
  13. Chapter 13: Genome Editing
  14. Chapter 14: Cloud Basics, Infrastructure as Code, and Containers
  15. Chapter 15: Workflow Systems
  16. Chapter 16: Machine Learning, Deep Learning, and LLMs for Nucleic Acid and Protein Design
  17. Chapter 17: Single Cell Technology and Imaging Data
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Key benefits

  • Perform sequence analysis; primary, secondary, and tertiary analysis with Python libraries.
  • Solve real-world problems in the fields of phylogenetics, protein design, & annotation
  • Use Language Models and other AI techniques to work with multimodal bioinformatics data

Description

Bioinformatics with Python Cookbook is a recipe-based guide that helps you choose from a wide range of Python packages and approaches for classic bioinformatics problems. Starting with the fundamentals of key Python libraries used for data science and BioInformatics, you will progress through key tasks in sequencing analysis, quality control, alignment and variant calling. Along the way you learn important tips about modern coding practices and recent advances in the field. You will deep dive into core bioinformatics tasks such as phylogenetic analysis and population genomics. You’ll work with practical examples using libraries such as numpy, pandas, & sci-kit learn. The book provides exposure to the wealth of modern public bioinformatics databases available. You'll gain hands-on knowledge of important cloud computing approaches and learn how to set up workflow orchestration systems for controlling bioinformatics pipelines. You will gain an understanding of how bioinformatics is evolving to include AI and we’ll try out new techniques such as Large Language Models to design proteins and DNA. By the end of this book you will gain a functional understanding of using Python for Bioinformatics and how to launch Bioinformatics pipelines.

Who is this book for?

This book is for early and mid-level practitioners in bioinformatics, data science, and software engineering who want to improve their skills and learn practicable approaches to real problems. The reader would benefit from a basic knowledge of biology and previous exposure to Python programming and software engineering techniques. Knowledge of basic biology including DNA, proteins, and cell structure is important. Knowledge of at least one cloud computing platform (AWS, GCP, or Azure) is helpful. Previous exposure to machine learning with Python is beneficial but not required.

What you will learn

  • Process, analyze, and align sequencing data.
  • Call variants and interpret their biological meaning.
  • Use modern cloud infrastructure and launch bioinformatics workflows.
  • Ingest and transform Data with ease
  • See how AI is impacting BioInformatics
  • Leverage imaging and single-cell sequencing data to explore biological effects and cluster gene expression data

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Oct 09, 2025
Publication date : Jan 09, 2026
Length: 617 pages
Edition : 4th
Language : English
ISBN-13 : 9781836642756
Vendor :
Anaconda
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Product Details

Last updated date : Oct 09, 2025
Publication date : Jan 09, 2026
Length: 617 pages
Edition : 4th
Language : English
ISBN-13 : 9781836642756
Vendor :
Anaconda
Category :
Languages :
Concepts :
Tools :

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Table of Contents

14 Chapters
Bioinformatics with Python Cookbook, Fourth Edition: Solve advanced computational biology problems and build production pipelines with Python & AI tools Chevron down icon Chevron up icon
Chapter 1: Computer Specifications and Python Setup Chevron down icon Chevron up icon
Chapter 2: Basics of Data Manipulation Chevron down icon Chevron up icon
Chapter 3: Modern Coding Practices and AI-generated coding Chevron down icon Chevron up icon
Chapter 4: Data Science and Graphing Chevron down icon Chevron up icon
Chapter 5: Alignment and Variant Calling Chevron down icon Chevron up icon
Chapter 6: Annotation and Biological Interpretation Chevron down icon Chevron up icon
Chapter 7: Genomes and Genome Assembly Chevron down icon Chevron up icon
Chapter 8: Accessing Public Databases Chevron down icon Chevron up icon
Chapter 9: Protein Structure and Proteomics Chevron down icon Chevron up icon
Chapter 10: Phylogenetics Chevron down icon Chevron up icon
Chapter 11: Population Genetics Chevron down icon Chevron up icon
Chapter 12: Mectabolic Modeling and Other Applications Chevron down icon Chevron up icon
Chapter 13: Genome Editing Chevron down icon Chevron up icon
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