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Omics Data Science

The Practical Guide to Omics and Multi-Omics Analysis

From foundational concepts to advanced multi-omics integration and the emerging role of AI — a single, practical reference that connects the theory to real analytical workflows across all major omics disciplines.

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Chapters 1–2 — covering foundations and the omics data science landscape. No account required.

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What's Inside

Nine parts spanning foundations, individual omics disciplines, integration strategies, and the future of AI-driven analysis.

Part I

Omics Data Science Foundation

The shared concepts, patterns, and analytical workflows that underpin every omics discipline covered in this book.

Part II

Transcriptomics

RNA-seq pipelines for model and non-model species — from raw counts to biological insight.

Part III

Biological Networks

Network construction, visualization, and interpretation — from molecular interactions to systems-level biology.

Part IV

Proteomics

Quantitative proteomics workflows — from data processing and normalization to functional interpretation.

Part V

Metabolomics

Targeted and untargeted metabolomics — from LC-MS/MS data processing to pathway-level interpretation.

Part VI

Microbiome

Marker gene and shotgun metagenomics — from community profiling to ecological interpretation.

Part VII

Multi-Omics Integration

Knowledge-driven and model-driven strategies for combining multiple omics layers into unified biological insight.

Part VIII

Biomarker Discovery

Advanced machine learning in practice — from feature selection to validation strategies.

Part IX

Bioinformatics in the AI Era

How AI and emerging technologies are democratizing big data analytics to accelerate discovery in the life sciences.

Why This Book

As AI-assisted analysis becomes mainstream, the researchers who thrive will be those who understand what the algorithms are doing and why. This book builds that understanding — so you can leverage automation confidently, interpret results critically, and take control when it matters.

Who It's For

Written for researchers at every stage — whether you are entering omics analysis or deepening your expertise.

Graduate Students

Build a strong analytical foundation from the start. Learn the principles and best practices that will guide your entire research career.

Experimental Researchers

Move from generating data to understanding it. Every concept is grounded in practical workflows you can apply immediately.

Bioinformatics Practitioners

Expand into new omics domains and master integration strategies. One reference that spans all major omics types.