1. Past, current, and future of molecular pathway analysis 2. Molecular data for the pathway analysis 3. Benefits and challenges of OMICS data integration at the pathway level 4. Controls for the molecular data: normalization, harmonization, and quality thresholds 5. Reconstruction of molecular pathways 6. Qualitative and quantitative molecular pathway analysis: mathematical methods and algorithms Methods and guidelines 7. Getting started with the molecular pathway analysis 8. Differential analysis of genes, proteins, and metabolites 9. Molecular pathway analysis using comparative genomic and epigenomic 10. Quantitative molecular pathway analysis using transcriptomic data 11. Proteomic data for quantitative molecular pathway analysis 12. Metabolomic data for quantitative molecular pathway analysis 13. Methods and tools for OMICS data integration Practical applications 14. Molecular pathway approach in medicine 15. Molecular pathway approach in pharmaceutics 16. Molecular pathway approach in biotechnology 17. Molecular pathway approach in life science studies