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Python for Bioinformatics: Data Analysis, DNA Sequencing, and Genomic Insights: Harness the Power of Python for Sequence Alignment, Mutation Detection, ... Health Science and Bioinformatics Book 1)
Reactive Publishing
In a world where biology and computation now merge, Python for Bioinformatics is the definitive guide to mastering the tools and techniques driving modern genetic research. Designed for scientists, engineers, and data professionals, this book bridges the gap between biological discovery and computational execution—transforming code into insight.
Inside, you’ll learn how
Parse and analyze DNA, RNA, and protein sequences using Biopython and pandas.
Perform sequence alignment, mutation detection, and motif discovery with real genomic data.
Build pipelines for NGS (Next-Generation Sequencing) analysis and variant calling.
Visualize complex biological data with matplotlib and seaborn.
Integrate AI and machine learning into genomic pattern recognition.
Each chapter combines practical code walkthroughs with conceptual clarity, ensuring you not only understand how to use Python in bioinformatics—but why it works.
Whether you’re a life scientist venturing into programming or a data scientist diving into biology, this book offers the foundation to unlock the code of life itself.
In a world where biology and computation now merge, Python for Bioinformatics is the definitive guide to mastering the tools and techniques driving modern genetic research. Designed for scientists, engineers, and data professionals, this book bridges the gap between biological discovery and computational execution—transforming code into insight.
Inside, you’ll learn how
Parse and analyze DNA, RNA, and protein sequences using Biopython and pandas.
Perform sequence alignment, mutation detection, and motif discovery with real genomic data.
Build pipelines for NGS (Next-Generation Sequencing) analysis and variant calling.
Visualize complex biological data with matplotlib and seaborn.
Integrate AI and machine learning into genomic pattern recognition.
Each chapter combines practical code walkthroughs with conceptual clarity, ensuring you not only understand how to use Python in bioinformatics—but why it works.
Whether you’re a life scientist venturing into programming or a data scientist diving into biology, this book offers the foundation to unlock the code of life itself.
534 pages, Kindle Edition
Published November 4, 2025
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