Molecular Pathway Analysis Using High Throughput OMICS Data

The field molecular pathway analysis evolves rapidly, and many progressive methods have recently been discovered. Molecular Pathway Analysis Using High-Throughput 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-Throughput 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 analysis - Elucidates 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 field - Includes intuitive practical guidelines on the analysis of genomic, epigenetic, transcriptomic, proteomic, and metabolomic data at the molecular pathway level for non-bioinformaticians - Provides state-of-the art in the field of Big molecular data analysis for research, medicine, biotechnology, pharmaceutics, and next-generation molecular diagnostics