Molecular Pathway Analysis Using High-Throughout OMICS Molecular Data

The field molecular pathway analysis evolves rapidly, and many progressive methods have recently been discovered. Molecular Pathway Analysis Using High-Throughout OMICS Data contains the largest collections of molecular pathways. For the first time, guidelines on how to do genomic, epigenetic, transcriptomic, proteomic, and metabolomic data analysis in real-world research practice are given. Molecular Pathway Analysis Using High-Throughout OMICS Molecular Data also focuses on the pathway analysis applications for solving tasks in biotechnology, pharmaceutics, and molecular diagnostics ??It demonstrates how pathway analysis can be applied for the research and treatment of chronic and acute diseases, for next-generation molecular diagnostics, for drug design and preclinical testing; relevant real-world examples, molecular tests, and web resources will be reviewed in-depth.? ??The book shows a tendency of erasing the borders between chemistry, physics, informatics, mathematics, biology, and medicine by means of novel research approaches and instruments, providing a truly multidisciplinary approach. Provides theoretical insights, links to available resources and their descriptions, and protocols related to multiple possibilities and options of the molecular pathway analysisElucidates unique instruments (i) for the quantitative pathway analysis using metabolomic data, and (ii) for algorithmic hypothesis-free reconstruction and functional annotation of the molecular pathways that have a strong potential to revolutionize the fieldIncludes intuitive practical guidelines on the analysis of genomic, epigenetic, transcriptomic, proteomic, and metabolomic data at the molecular pathway level for non-bioinformaticiansProvides state-of-the art in the field of Big molecular data analysis for research, medicine, biotechnology, pharmaceutics, and next-generation molecular diagnostics INDICE: 1. Past, current, and future of molecular pathway analysis2. Molecular data for the pathway analysis3. Benefits and challenges of OMICS data integration at the pathway level4. Controls for the molecular data: normalization, harmonization, and quality thresholds5. Reconstruction of molecular pathways6. Qualitative and quantitative molecular pathway analysis: mathematical methods and algorithms Methods and guidelines7. Getting started with the molecular pathway analysis8. Differential analysis of genes, proteins, and metabolites9. Molecular pathway analysis using comparative genomic and epigenomic10. Quantitative molecular pathway analysis using transcriptomic data11. Proteomic data for quantitative molecular pathway analysis12. Metabolomic data for quantitative molecular pathway analysis13. Methods and tools for OMICS data integration Practical applications14. Molecular pathway approach in medicine15. Molecular pathway approach in pharmaceutics16. Molecular pathway approach in biotechnology17. Molecular pathway approach in life science studies

• ISBN: 978-0-443-15568-0
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 300
• Fecha Publicación: 01/12/2024
• Nº Volúmenes: 1
• Idioma: Inglés