Learning Computational Genomics with Python: Tools, Pipelines, and Machine Learning

By Praise D. Debby

Learning Computational Genomics with Python: Tools, Pipelines, and Machine Learning is a practical and comprehensive guide for students, researchers, and professionals who want to apply modern computational techniques to biological data. From DNA and RNA sequences to large-scale omics integration, this book bridges the gap between biology and data science with hands-on examples and real-world case studies.
Inside, readers will learn how to: Set up a Python environment tailored for genomics and bioinformatics.Work with DNA, RNA, and protein sequence data using Python libraries.Process, align, and analyze next-generation sequencing (NGS) data.Explore transcriptomics, epigenomics, and regulatory genomics.Apply machine learning-including supervised, unsupervised, and deep learning-to genomic problems.Integrate multi-omics datasets for systems-level insights.Build reproducible workflows and pipelines for large-scale genomic projects.Understand ethical, privacy, and big data challenges in modern genomics.Written in a clear and accessible style, this book combines step-by-step tutorials, conceptual explanations, and practical projects. Each chapter balances biological background with computational implementation, making it valuable for both life scientists seeking computational skills and data scientists entering the world of genomics.
Whether your goal is to analyze human genomes, study microbial communities, or explore cutting-edge AI applications in biology, this book will give you the foundation to succeed.
Perfect for: Graduate and undergraduate students in bioinformatics, computational biology, or data science.Researchers and professionals working with genomic and biomedical data.Self-learners who want to apply Python to real biological challenges.With Python as your tool and genomics as your canvas, this book helps you decode the future of biology-one line of code at a time.

• Format: Paperback
• Language: English
• ISBN: B0FR4WHLPC
• ISBN13: 9798265377418
• Release Date: September 2025
• Publisher: Independently Published
• Length: 234 Pages
• Weight: 0.70 lbs.
• Dimensions: 0.5" x 6.0" x 9.0"