Molecular Pathway Analysis Using High-Throughput OMICS Molecular Data

Analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data

Anton Buzdin

• Publisher: Academic Press
• Year: 2024
• Topic: Biological Sciences
• eBook ISBN:
  9780443155697
• Subtopic: Molecular Biology
• Index: Biological Sciences

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

Table of contents

• Cover
• Front Matter
• Table of Contents
• Copyright
• Dedication
• Contributors
• About the editor
• Preface
• List of Illustrations
• List of Tables
• Chapter 1 : Past, current, and future of molecular pathway analysis
• Chapter 2 : Molecular data for the pathway analysis
• Chapter 3 : Benefits and challenges of OMICS data integration at the pathway level
• Chapter 4 : Controls for the molecular data: Normalization, harmonization, and quality thresholds
• Chapter 5 : Reconstruction of molecular pathways
• Chapter 6 : Qualitative and quantitative molecular pathway analysis: Mathematical methods and algorithms
• Chapter 7 : Getting started with the molecular pathway analysis
• Chapter 8 : Molecular pathway analysis using comparative genomic and epigenomic data
• Chapter 9 : Quantitative molecular pathway analysis using transcriptomic and proteomic data
• Chapter 10 : MicroRNA data for quantitative analysis of molecular pathways
• Chapter 11 : Methods and tools for OMICS data integration
• Chapter 12 : Molecular pathway approach in clinical oncology
• Chapter 13 : Molecular pathway approach in pharmaceutics
• Chapter 14 : Molecular pathway approach in biotechnology
• Chapter 15 : Molecular pathway approach in biology and fundamental medicine
• Index
• A