Computational Workflows and Protocols for Omics Data Analysis

Responding to the growing need for hands-on guidance in the era of high-throughput sequencing, Computational Workflows and Protocols for Omics Data Analysis delivers a robust collection of reproducible, step-by-step protocols tailored for real-world omics data analysis. Structured across 14 expertly curated chapters, it spans the full analytical pipeline -from raw data processing and genome assembly to variant detection, single-cell transcriptomics, and microbiome profiling. Each chapter is authored by leading international experts and includes detailed workflows, command-line instructions, and illustrative figures to ensure clarity and confidence in implementation. Designed to bridge the gap between theory and practice, this reference empowers users to navigate complex datasets with precision, supporting innovations in biomedical, agricultural, environmental, and clinical research. Whether used as a core textbook or a laboratory manual, it is an indispensable resource for accelerating discovery, refining diagnostics, and advancing therapeutic development in the life and health sciences.

• Integrates diverse analysis workflows including genomics, transcriptomics, and epigenomics
• Provides step-by-step protocols for comprehensive omics data analysis
• Features protocols authored by leading global experts
• Covers recent advancements and specialized tools in NGS analysis
• Offers practical guidance with commands, flowcharts, and figures